OIPL Statistics

Otolith Classification With Neural Embeddings and ICP

Otolith Classification With Neural Embeddings & ICP

Table of Contents

Individual Statistics
Intra-Class Statistics

Individual Statistics

This section presents statistics for individual otolith samples.

An otolith with a red outline and dark red background is misclassified (and none of its 9-nearest images have the correct label ➔ worst case).
An otolith with a red outline and pale red background is misclassified (its 1-nearest image has the wrong label, but at least one of its 9-nearest images has the correct label).
An otolith with a orange outline is well classified, but its 2-nearest image has the wrong label.
An otolith with a yellow-green outline is well classified, but its 3-nearest image has the wrong label.
Otherwise, the outline is green (its 3 first nearest-images have all the correct label ➔ ideal case).
105 classes: Achlin, Adixen, Anchep, Anclyo, Ancmit, Ancomm, Arcpro, Arifel, Bagmar, Baichr, Baichr2, Batsop, Brepat, Carcry, Carhip, Carhip2, Cenphi, Censtr, Chafab, Chasab, Chisch, Chlchr, Citmac, Citspi, Citspp, Cryros, Ctebol, Cynare, Cynneb, Cypvar, Dipfor, Dormac, Dorpet, Erosma, Eucarg, Eucgul, Euchar, Eucmel, Eucspp, Evolyr, Fun, Fungra, Funmaj, Funpul, Funsim, Gamhol, Gerreidae, Gobbos, Goboce, Gobstr, Harjag, Hypmee, Lagrho, Larfas, Leixan, Lucpar, Lutcam, Lutgri, Lutsyn, Memmar, Mename, Menber, Menlit, Menpen, Menspp, Micund, Mugcep, Mugcur, Mugspp, Mycmic, Myrpun, Nicust, Olisau, Opiogl, Opsbet, Ortchr, Paralb, Parlet, Pepbur, Peppar, Poelat, Pogcro, Pomsal, Priros, Pritri, Raccan, Scaridae, Scioce, Selvom, Sparad, Sparub, Sphbar, Sphgua, Sphpar, Stecap, Stelan, Stelan2, Strtim, Sygspp, Sympla, Synfoe, Synlou, Tracar, Trilep, Trimac.


Class #0: Achlin

Number of samples : 2
Classification Accuracy : 50% (1/2)
Most confused with : Sympla, Citmac, Leixan, Fungra, Lagrho, Stecap
achlin_2083_a_001 achlin_2083_b_002

Class #1: Adixen

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Fun, Cypvar
adixen_2115_a_001 adixen_2115_b_002

Class #2: Anchep

Number of samples : 77
Classification Accuracy : 97.4% (75/77)
Most confused with : Ancmit
anchep_1072_a_002 anchep_1072_b_001 anchep_1074_a_003 anchep_1075_a_001 anchep_1274_a_001 anchep_1274_b_003 anchep_1275_a_002 anchep_1277_a_002 anchep_1277_b_002 anchep_1279_b_002 anchep_1378_a_002 anchep_1378_b_002 anchep_1379_a_002 anchep_1380_a_002 anchep_1380_b_002 anchep_1381_a_002 anchep_1381_b_002 anchep_1382_a_002 anchep_1382_b_002 anchep_1383_a_002 anchep_1383_b_002 anchep_1384_a_001 anchep_1384_b_002 anchep_1385_a_002 anchep_1385_b_003 anchep_1386_a_002 anchep_1386_b_002 anchep_1387_a_002 anchep_1387_b_002 anchep_1388_a_002 anchep_1388_b_002 anchep_1440_a_002 anchep_1441_a_002 anchep_1442_a_002 anchep_1442_b_001 anchep_1443_a_002 anchep_1444_b_002 anchep_172_b_003 anchep_173_a_039 anchep_173_b_001 anchep_174_a_042 anchep_174_b_002 anchep_1756_a_001 anchep_1756_b_002 anchep_1757_a_001 anchep_1757_b_001 anchep_1758_a_001 anchep_1758_b_002 anchep_175_a_001 anchep_175_b_003 anchep_1760_a_001 anchep_1760_b_002 anchep_1761_a_001 anchep_1761_b_002 anchep_1762_a_001 anchep_1762_b_002 anchep_1763_a_001 anchep_1763_b_002 anchep_176_l_002 anchep_176_r_002 anchep_177_a_003 anchep_177_b_001 anchep_178_l_002 anchep_178_r_002 anchep_179_a_045 anchep_179_b_001 anchep_180_a_002 anchep_181_a_047 anchep_181_b_002 anchep_182_b_002 anchep_183_b_002 anchep_184_a_003 anchep_184_b_002 anchep_185_a_002 anchep_185_b_001 anchep_186_a_002 anchep_186_b_001

Class #3: Anclyo

Number of samples : 8
Classification Accuracy : 87.5% (7/8)
Most confused with : Micund, Anchep, Lagrho
anclyo_332_l_002 anclyo_332_r_002 anclyo_333_l_004 anclyo_333_r_002 anclyo_334_l_002 anclyo_335_b_002 anclyo_336_l_002 anclyo_336_r_002

Class #4: Ancmit

Number of samples : 113
Classification Accuracy : 97.35% (110/113)
Most confused with : Anchep
ancmit_1256_a_002 ancmit_1256_b_001 ancmit_1257_a_002 ancmit_1257_b_001 ancmit_1258_a_002 ancmit_1258_b_001 ancmit_1377_a_001 ancmit_1377_b_002 ancmit_1445_a_002 ancmit_1445_b_002 ancmit_1446_a_001 ancmit_1446_b_002 ancmit_1447_a_002 ancmit_1447_b_002 ancmit_1448_a_001 ancmit_1448_b_002 ancmit_1449_a_001 ancmit_1449_b_001 ancmit_1450_a_002 ancmit_1450_b_002 ancmit_1451_a_002 ancmit_1451_b_001 ancmit_1452_a_002 ancmit_1452_b_001 ancmit_1453_a_002 ancmit_1453_b_002 ancmit_1454_a_002 ancmit_1454_b_001 ancmit_1455_b_001 ancmit_1456_a_002 ancmit_1456_b_001 ancmit_1457_a_002 ancmit_1457_b_001 ancmit_1458_a_002 ancmit_1458_b_001 ancmit_1459_a_002 ancmit_1459_b_001 ancmit_1460_a_001 ancmit_1460_b_002 ancmit_1943_a_002 ancmit_1943_b_001 ancmit_1972_a_001 ancmit_1972_b_002 ancmit_1973_a_001 ancmit_1973_b_002 ancmit_1974_a_001 ancmit_1974_b_002 ancmit_2471_a_002 ancmit_2471_b_001 ancmit_610_r_001 ancmit_611_l_002 ancmit_611_r_003 ancmit_613_l_002 ancmit_613_r_001 ancmit_891_a_003 ancmit_891_b_001 ancmit_892_a_003 ancmit_892_b_001 ancmit_893_a_001 ancmit_893_b_002 ancmit_894_a_001 ancmit_894_b_002 ancmit_895_a_001 ancmit_895_b_001 ancmit_896_a_001 ancmit_896_b_003 ancmit_897_a_002 ancmit_897_b_002 ancmit_898_a_001 ancmit_898_b_003 ancmit_899_a_001 ancmit_900_a_003 ancmit_900_b_002 ancmit_901_a_003 ancmit_901_b_001 ancmit_902_a_003 ancmit_902_b_002 ancmit_903_a_003 ancmit_903_b_001 ancmit_904_a_002 ancmit_904_b_001 ancmit_905_a_003 ancmit_905_b_002 ancmit_906_a_003 ancmit_906_b_002 ancmit_907_a_003 ancmit_907_b_001 ancmit_908_a_002 ancmit_908_b_002 ancmit_909_a_003 ancmit_909_b_002 ancmit_910_a_003 ancmit_910_b_002 ancmit_911_a_003 ancmit_911_b_001 ancmit_912_a_002 ancmit_912_b_002 ancmit_913_a_002 ancmit_913_b_002 ancmit_914_a_003 ancmit_914_b_001 ancmit_915_a_003 ancmit_915_b_002 ancmit_916_a_003 ancmit_916_b_001 ancmit_917_a_002 ancmit_917_b_001 ancmit_918_a_001 ancmit_918_b_003 ancmit_919_a_001 ancmit_919_b_003 ancmit_920_a_001 ancmit_920_b_002

Class #5: Ancomm

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Lutsyn, Lutcam
ancomm_974_a_003 ancomm_974_b_002

Class #6: Arcpro

Number of samples : 5
Classification Accuracy : 60% (3/5)
Most confused with : Stecap
arcpro_2438_a_001 arcpro_2438_b_002 arcpro_316_r_002 arcpro_763_l_002 arcpro_763_r_002

Class #7: Arifel

Number of samples : 60
Classification Accuracy : 100% (60/60)
Most confused with : Micund
arifel_38_a_002 arifel_38_b_003 arifel_39_a_002 arifel_39_b_003 arifel_40_a_002 arifel_40_b_002 arifel_41_a_003 arifel_41_b_002 arifel_42_a_017 arifel_42_b_002 arifel_43_a_001 arifel_43_b_003 arifel_44_a_002 arifel_44_b_002 arifel_45_a_001 arifel_45_b_003 arifel_46_a_002 arifel_46_b_003 arifel_47_a_002 arifel_47_b_002 arifel_48_a_003 arifel_48_b_002 arifel_49_b_003 arifel_50_a_002 arifel_50_b_003 arifel_51_a_002 arifel_51_b_002 arifel_52_a_002 arifel_52_b_003 arifel_53_a_002 arifel_53_b_003 arifel_54_a_020 arifel_54_b_002 arifel_55_a_003 arifel_55_b_001 arifel_56_a_003 arifel_57_a_022 arifel_57_b_003 arifel_58_a_002 arifel_58_b_003 arifel_593_b_001 arifel_594_a_002 arifel_594_b_001 arifel_59_a_001 arifel_59_b_002 arifel_60_a_001 arifel_61_a_001 arifel_61_b_001 arifel_62_a_002 arifel_63_a_003 arifel_63_b_001 arifel_64_a_003 arifel_65_a_003 arifel_65_b_003 arifel_66_a_024 arifel_66_b_002 arifel_67_a_002 arifel_67_b_001 arifel_68_a_002 arifel_68_b_001

Class #8: Bagmar

Number of samples : 73
Classification Accuracy : 100% (73/73)
Most confused with : Larfas, Pogcro, Arifel, Scioce
bagmar_1494_a_001 bagmar_1494_b_001 bagmar_1669_a_001 bagmar_1669_b_001 bagmar_1670_a_001 bagmar_1670_b_001 bagmar_1671_a_001 bagmar_1671_b_001 bagmar_1672_b_001 bagmar_1673_a_001 bagmar_1673_b_001 bagmar_1674_a_001 bagmar_1674_b_001 bagmar_1675_a_001 bagmar_1675_b_001 bagmar_1676_a_001 bagmar_1676_b_001 bagmar_1677_a_001 bagmar_1677_b_001 bagmar_1678_a_001 bagmar_1678_b_001 bagmar_1679_a_001 bagmar_1679_b_001 bagmar_1680_a_001 bagmar_1680_b_001 bagmar_1681_a_001 bagmar_1681_b_001 bagmar_1682_a_001 bagmar_1682_b_001 bagmar_1683_a_001 bagmar_1683_b_001 bagmar_1684_a_001 bagmar_1684_b_001 bagmar_1685_a_001 bagmar_1685_b_001 bagmar_1686_a_001 bagmar_1686_b_001 bagmar_1687_a_001 bagmar_1687_b_001 bagmar_1688_a_001 bagmar_1688_b_001 bagmar_1689_a_001 bagmar_1689_b_001 bagmar_1690_a_001 bagmar_1690_b_001 bagmar_1691_a_001 bagmar_1691_b_001 bagmar_1692_a_001 bagmar_1692_b_001 bagmar_1693_a_001 bagmar_1693_b_001 bagmar_1694_a_001 bagmar_1694_b_001 bagmar_2458_a_001 bagmar_2458_b_001 bagmar_2459_a_001 bagmar_2459_b_001 bagmar_2460_a_001 bagmar_2460_b_001 bagmar_2461_a_001 bagmar_2461_b_001 bagmar_2462_a_001 bagmar_2462_b_001 bagmar_2463_a_001 bagmar_2463_b_001 bagmar_2464_a_001 bagmar_2464_b_001 bagmar_2465_a_001 bagmar_2465_b_001 bagmar_2472_a_001 bagmar_2472_b_001 bagmar_318_a_032 bagmar_318_b_001

Class #9: Baichr

Number of samples : 99
Classification Accuracy : 100% (99/99)
Most confused with : Stelan, Menber
baichr_100_a_008 baichr_100_b_012 baichr_101_a_013 baichr_101_b_015 baichr_102_a_016 baichr_102_b_020 baichr_103_a_021 baichr_103_b_023 baichr_104_a_025 baichr_104_b_028 baichr_105_a_028 baichr_105_b_031 baichr_106_a_032 baichr_106_b_036 baichr_107_a_037 baichr_107_b_040 baichr_108_a_041 baichr_108_b_044 baichr_1829_a_001 baichr_1829_b_001 baichr_2108_a_001 baichr_2108_b_001 baichr_2109_a_001 baichr_2109_b_001 baichr_2110_a_001 baichr_2110_b_001 baichr_2111_a_001 baichr_2111_b_001 baichr_2112_a_001 baichr_2112_b_001 baichr_2113_a_001 baichr_2113_b_001 baichr_2114_b_001 baichr_2156_a_016 baichr_2156_b_016 baichr_2157_a_016 baichr_2157_b_018 baichr_2158_a_018 baichr_2158_b_020 baichr_2159_a_021 baichr_2159_b_021 baichr_2160_a_022 baichr_2160_b_024 baichr_2161_a_024 baichr_2161_b_026 baichr_69_a_002 baichr_69_b_002 baichr_70_a_002 baichr_71_a_003 baichr_71_b_003 baichr_72_a_002 baichr_72_b_001 baichr_73_a_003 baichr_73_b_001 baichr_74_a_003 baichr_74_b_002 baichr_75_a_002 baichr_75_b_004 baichr_76_a_006 baichr_76_b_007 baichr_77_a_009 baichr_77_b_010 baichr_79_a_019 baichr_79_b_021 baichr_80_b_025 baichr_81_a_026 baichr_82_a_028 baichr_82_b_033 baichr_83_a_036 baichr_83_b_037 baichr_84_a_039 baichr_84_b_041 baichr_85_a_030 baichr_85_b_042 baichr_86_a_046 baichr_86_b_048 baichr_87_a_051 baichr_87_b_052 baichr_88_a_055 baichr_88_b_056 baichr_89_a_058 baichr_89_b_061 baichr_90_a_031 baichr_90_b_063 baichr_91_a_066 baichr_91_b_068 baichr_92_a_071 baichr_93_a_073 baichr_93_b_077 baichr_94_b_081 baichr_95_a_083 baichr_95_b_085 baichr_96_a_087 baichr_96_b_090 baichr_97_a_090 baichr_97_b_094 baichr_98_b_097 baichr_99_a_002 baichr_99_b_005

Class #10: Baichr2

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Peppar, Lagrho, Leixan, Scioce, Lutcam, Anchep
baichr2_80_c_027 baichr2_80_d_030

Class #11: Batsop

Number of samples : 8
Classification Accuracy : 100% (8/8)
Most confused with : Evolyr, Citspi
batsop_162_a_021 batsop_162_b_001 batsop_163_a_023 batsop_163_b_002 batsop_164_a_025 batsop_164_b_001 batsop_166_a_028 batsop_166_b_003

Class #12: Brepat

Number of samples : 82
Classification Accuracy : 97.56% (80/82)
Most confused with : Harjag, Chlchr
brepat_1300_a_001 brepat_1301_a_002 brepat_1301_b_002 brepat_1302_a_001 brepat_1302_b_003 brepat_2168_a_030 brepat_2168_b_030 brepat_2277_a_001 brepat_2277_b_001 brepat_2448_a_001 brepat_368_a_087 brepat_368_b_002 brepat_369_a_088 brepat_370_a_079 brepat_371_l_002 brepat_371_r_003 brepat_372_a_090 brepat_373_a_091 brepat_374_l_002 brepat_375_l_003 brepat_375_r_002 brepat_376_a_093 brepat_377_a_094 brepat_378_a_095 brepat_379_a_084 brepat_380_a_096 brepat_381_a_097 brepat_382_r_002 brepat_383_a_098 brepat_384_a_099 brepat_412_a_001 brepat_413_a_002 brepat_414_a_003 brepat_415_a_004 brepat_416_a_005 brepat_417_a_006 brepat_418_a_007 brepat_419_a_008 brepat_420_a_009 brepat_421_a_010 brepat_422_a_011 brepat_423_a_012 brepat_424_a_013 brepat_425_a_014 brepat_426_a_015 brepat_427_a_016 brepat_428_a_017 brepat_429_a_018 brepat_430_a_019 brepat_431_a_020 brepat_432_a_021 brepat_433_a_022 brepat_434_a_023 brepat_435_a_024 brepat_436_a_025 brepat_437_a_026 brepat_438_a_027 brepat_439_a_028 brepat_440_a_029 brepat_441_a_030 brepat_442_a_031 brepat_443_a_032 brepat_444_a_033 brepat_445_a_034 brepat_446_a_035 brepat_447_a_036 brepat_448_a_037 brepat_449_a_038 brepat_450_a_039 brepat_645_a_001 brepat_646_a_002 brepat_647_a_003 brepat_648_a_004 brepat_649_a_005 brepat_650_a_006 brepat_651_a_007 brepat_652_a_008 brepat_653_a_009 brepat_654_a_010 brepat_655_a_011 brepat_656_a_012 brepat_657_a_013

Class #13: Carcry

Number of samples : 4
Classification Accuracy : 100% (4/4)
Most confused with : Chlchr, Lutgri
carcry_1840_a_001 carcry_1840_b_002 carcry_1841_a_001 carcry_1841_b_002

Class #14: Carhip

Number of samples : 1
Classification Accuracy : 0% (0/1)
Most confused with : Anchep, Mugspp, Chlchr, Eucspp
carhip_303_a_015

Class #15: Carhip2

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Baichr, Citspi, Ctebol
carhip2_994_c_001 carhip2_994_d_002

Class #16: Cenphi

Number of samples : 11
Classification Accuracy : 90.91% (10/11)
Most confused with : Censtr, Lutgri
cenphi_1805_a_001 cenphi_1806_a_001 cenphi_1806_b_002 cenphi_1844_a_001 cenphi_1844_b_001 cenphi_2028_a_001 cenphi_2028_b_001 cenphi_2029_a_001 cenphi_2029_b_001 cenphi_2204_a_001 cenphi_2204_b_001

Class #17: Censtr

Number of samples : 10
Classification Accuracy : 70% (7/10)
Most confused with : Lutgri
censtr_2327_a_029 censtr_2327_b_029 censtr_2328_a_029 censtr_2328_b_029 censtr_2332_a_001 censtr_2333_a_001 censtr_2334_a_001 censtr_2334_b_001 censtr_2335_a_001 censtr_2335_b_001

Class #18: Chafab

Number of samples : 8
Classification Accuracy : 87.5% (7/8)
Most confused with : Leixan, Chlchr, Lagrho
chafab_1157_a_002 chafab_1157_b_002 chafab_298_a_010 chafab_298_b_001 chafab_299_l_003 chafab_299_r_001 chafab_300_l_002 chafab_302_r_005

Class #19: Chasab

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Chlchr
chasab_294_l_004 chasab_294_r_004

Class #20: Chisch

Number of samples : 5
Classification Accuracy : 20% (1/5)
Most confused with : Ancmit, Eucspp
chisch_1645_a_001 chisch_1645_b_002 chisch_1646_a_001 chisch_1646_b_001 chisch_319_a_001

Class #21: Chlchr

Number of samples : 111
Classification Accuracy : 97.3% (108/111)
Most confused with : Lutgri
chlchr_1101_a_002 chlchr_1101_b_003 chlchr_1102_a_001 chlchr_1102_b_003 chlchr_1103_a_001 chlchr_1104_a_002 chlchr_1104_b_002 chlchr_1105_a_002 chlchr_1105_b_001 chlchr_1106_a_003 chlchr_1107_a_002 chlchr_1107_b_003 chlchr_1108_a_001 chlchr_1108_b_003 chlchr_1109_b_002 chlchr_1110_a_001 chlchr_1111_b_001 chlchr_1112_a_003 chlchr_1113_a_001 chlchr_1114_a_003 chlchr_1115_a_001 chlchr_1115_b_003 chlchr_1116_a_001 chlchr_1116_b_003 chlchr_1117_a_001 chlchr_1117_b_001 chlchr_1119_a_002 chlchr_1120_a_001 chlchr_1120_b_003 chlchr_1121_a_001 chlchr_1122_a_001 chlchr_1122_b_003 chlchr_1123_a_001 chlchr_1123_b_003 chlchr_1124_a_003 chlchr_1125_a_001 chlchr_1126_b_002 chlchr_1127_a_001 chlchr_1127_b_003 chlchr_1128_a_001 chlchr_1128_b_003 chlchr_1129_a_001 chlchr_1129_b_003 chlchr_1130_a_002 chlchr_1130_b_001 chlchr_1131_a_002 chlchr_1131_b_001 chlchr_1132_a_002 chlchr_1132_b_001 chlchr_1133_b_002 chlchr_1134_a_002 chlchr_1134_b_001 chlchr_1135_a_002 chlchr_1135_b_001 chlchr_1136_a_002 chlchr_1260_a_002 chlchr_1260_b_002 chlchr_1315_a_001 chlchr_1480_a_002 chlchr_1480_b_001 chlchr_1482_b_001 chlchr_1483_b_001 chlchr_1484_a_001 chlchr_1485_a_001 chlchr_1485_b_002 chlchr_1486_a_001 chlchr_1487_a_001 chlchr_1488_a_001 chlchr_1488_b_002 chlchr_1495_a_002 chlchr_1496_a_001 chlchr_1496_b_002 chlchr_1498_a_001 chlchr_1498_b_002 chlchr_1499_a_001 chlchr_1501_a_001 chlchr_1502_a_001 chlchr_1503_a_001 chlchr_1503_b_002 chlchr_1504_a_001 chlchr_1505_a_002 chlchr_1505_b_001 chlchr_1506_a_002 chlchr_1506_b_002 chlchr_1507_a_002 chlchr_1507_b_001 chlchr_1508_a_002 chlchr_1508_b_001 chlchr_1509_a_002 chlchr_1509_b_001 chlchr_1510_a_002 chlchr_1511_a_002 chlchr_1511_b_001 chlchr_1764_a_001 chlchr_1764_b_002 chlchr_1848_a_002 chlchr_1848_b_001 chlchr_1849_a_002 chlchr_1849_b_001 chlchr_1909_a_002 chlchr_1910_a_001 chlchr_1911_a_001 chlchr_1912_a_001 chlchr_1912_b_001 chlchr_325_l_003 chlchr_325_r_043 chlchr_326_l_001 chlchr_327_l_005 chlchr_328_l_004 chlchr_329_l_003 chlchr_329_r_002

Class #22: Citmac

Number of samples : 56
Classification Accuracy : 78.57% (44/56)
Most confused with : Citspi
citmac_1284_a_002 citmac_1392_a_002 citmac_1392_b_001 citmac_1393_a_002 citmac_1393_b_001 citmac_1799_a_002 citmac_1799_b_001 citmac_1842_a_001 citmac_1842_b_002 citmac_2177_a_001 citmac_2177_b_001 citmac_2178_a_001 citmac_2178_b_001 citmac_2179_a_001 citmac_2179_b_001 citmac_2180_a_001 citmac_2180_b_001 citmac_2181_a_001 citmac_2181_b_002 citmac_2182_a_001 citmac_2182_b_001 citmac_2183_a_001 citmac_2183_b_001 citmac_2184_a_001 citmac_2184_b_002 citmac_2185_a_001 citmac_2185_b_002 citmac_2186_a_001 citmac_2186_b_001 citmac_2187_a_001 citmac_2187_b_001 citmac_2188_a_001 citmac_2188_b_001 citmac_2189_a_001 citmac_2189_b_001 citmac_2190_a_001 citmac_2190_b_002 citmac_2191_a_001 citmac_2191_b_001 citmac_2192_a_001 citmac_2192_b_001 citmac_2193_a_001 citmac_2193_b_001 citmac_2194_a_001 citmac_2194_b_001 citmac_2199_a_001 citmac_2199_b_001 citmac_2201_a_001 citmac_2201_b_001 citmac_2435_a_001 citmac_2435_b_001 citmac_2473_a_001 citmac_321_a_036 citmac_321_b_001 citmac_322_a_037 citmac_322_b_001

Class #23: Citspi

Number of samples : 105
Classification Accuracy : 79.05% (83/105)
Most confused with : Citmac
citspi_1265_a_001 citspi_1265_b_003 citspi_1266_a_001 citspi_1267_a_003 citspi_1267_b_001 citspi_1285_a_001 citspi_1285_b_003 citspi_1286_a_001 citspi_1287_a_003 citspi_1287_b_001 citspi_1288_a_003 citspi_1288_b_001 citspi_1289_a_001 citspi_1289_b_003 citspi_1290_a_001 citspi_1290_b_002 citspi_1291_a_001 citspi_1292_a_003 citspi_1292_b_001 citspi_1293_a_002 citspi_1293_b_002 citspi_1294_a_002 citspi_1294_b_001 citspi_1295_a_002 citspi_1295_b_002 citspi_1296_a_002 citspi_1296_b_002 citspi_1297_a_002 citspi_1298_a_003 citspi_1298_b_002 citspi_1389_a_002 citspi_1389_b_002 citspi_1390_a_002 citspi_1391_a_001 citspi_1391_b_002 citspi_1765_a_001 citspi_1765_b_002 citspi_1766_a_001 citspi_1766_b_002 citspi_1843_a_001 citspi_1843_b_002 citspi_1851_a_001 citspi_1851_b_002 citspi_1852_a_001 citspi_1852_b_002 citspi_1853_a_001 citspi_1857_a_001 citspi_1857_b_002 citspi_1858_a_001 citspi_1858_b_002 citspi_1859_a_001 citspi_1859_b_003 citspi_2082_a_001 citspi_2082_b_002 citspi_2172_a_001 citspi_2173_a_001 citspi_2174_a_001 citspi_2174_b_001 citspi_2175_a_001 citspi_2176_a_001 citspi_2176_b_001 citspi_2400_a_001 citspi_2400_b_002 citspi_273_a_002 citspi_273_b_001 citspi_274_a_002 citspi_274_b_003 citspi_275_a_002 citspi_275_b_002 citspi_277_a_032 citspi_277_b_001 citspi_278_a_003 citspi_278_b_001 citspi_279_a_002 citspi_280_a_001 citspi_280_b_003 citspi_282_a_002 citspi_282_b_003 citspi_283_a_002 citspi_283_b_003 citspi_284_a_033 citspi_284_b_002 citspi_285_a_036 citspi_286_a_038 citspi_286_b_003 citspi_287_a_002 citspi_287_b_003 citspi_288_a_002 citspi_288_b_003 citspi_289_a_002 citspi_289_b_003 citspi_290_a_002 citspi_290_b_003 citspi_291_a_002 citspi_291_b_004 citspi_292_a_002 citspi_292_b_002 citspi_293_a_003 citspi_293_b_001 citspi_796_a_002 citspi_796_b_002 citspi_797_a_002 citspi_797_b_002 citspi_931_a_002 citspi_931_b_002

Class #24: Citspp

Number of samples : 5
Classification Accuracy : 40% (2/5)
Most confused with : Citmac
citspp_2169_a_030 citspp_2169_b_030 citspp_2170_a_001 citspp_2171_a_001 citspp_2171_b_001

Class #25: Cryros

Number of samples : 3
Classification Accuracy : 100% (3/3)
Most confused with : Tracar, Chlchr, Nicust, Dorpet, Anchep
cryros_2042_a_001 cryros_2042_b_002 cryros_2043_b_001

Class #26: Ctebol

Number of samples : 80
Classification Accuracy : 92.5% (74/80)
Most confused with : Sympla
ctebol_167_a_029 ctebol_167_b_001 ctebol_168_a_031 ctebol_168_b_003 ctebol_169_a_034 ctebol_169_b_001 ctebol_170_a_036 ctebol_170_b_003 ctebol_2375_a_001 ctebol_2375_b_002 ctebol_2376_a_001 ctebol_2376_b_002 ctebol_2377_a_001 ctebol_2377_b_002 ctebol_2378_a_001 ctebol_2378_b_002 ctebol_2379_a_001 ctebol_2379_b_002 ctebol_2380_a_001 ctebol_2380_b_002 ctebol_2381_a_001 ctebol_2381_b_002 ctebol_2382_a_001 ctebol_2382_b_002 ctebol_2383_a_001 ctebol_2383_b_002 ctebol_2384_a_001 ctebol_2384_b_002 ctebol_2385_a_001 ctebol_2385_b_002 ctebol_2386_a_001 ctebol_2386_b_002 ctebol_2387_a_001 ctebol_2387_b_002 ctebol_2388_a_001 ctebol_2388_b_002 ctebol_2447_a_001 ctebol_2447_b_002 ctebol_858_a_002 ctebol_858_b_002 ctebol_859_a_002 ctebol_859_b_002 ctebol_860_a_002 ctebol_860_b_002 ctebol_861_a_001 ctebol_861_b_002 ctebol_862_a_003 ctebol_862_b_001 ctebol_863_a_003 ctebol_863_b_002 ctebol_864_a_002 ctebol_864_b_003 ctebol_865_a_002 ctebol_866_a_002 ctebol_866_b_002 ctebol_867_a_003 ctebol_868_a_002 ctebol_868_b_002 ctebol_869_a_002 ctebol_869_b_002 ctebol_870_a_003 ctebol_870_b_002 ctebol_871_a_002 ctebol_871_b_002 ctebol_872_a_002 ctebol_872_b_002 ctebol_873_a_002 ctebol_873_b_002 ctebol_874_a_003 ctebol_874_b_002 ctebol_875_a_003 ctebol_875_b_001 ctebol_876_a_002 ctebol_876_b_001 ctebol_877_a_001 ctebol_877_b_002 ctebol_878_a_002 ctebol_878_b_002 ctebol_879_a_002 ctebol_879_b_002

Class #27: Cynare

Number of samples : 109
Classification Accuracy : 99.08% (108/109)
Most confused with : Cynneb
cynare_1375_a_001 cynare_1375_b_001 cynare_1376_a_001 cynare_1376_b_001 cynare_1489_a_001 cynare_1489_b_001 cynare_1490_a_001 cynare_1490_b_001 cynare_1491_a_001 cynare_1491_b_001 cynare_1492_a_001 cynare_1492_b_001 cynare_1493_a_001 cynare_1493_b_001 cynare_1769_a_001 cynare_1769_b_002 cynare_1770_a_001 cynare_1770_b_002 cynare_1771_a_001 cynare_1771_b_002 cynare_1772_a_001 cynare_1772_b_002 cynare_1773_a_001 cynare_1830_a_001 cynare_1830_b_001 cynare_1846_a_001 cynare_1846_b_001 cynare_1847_a_001 cynare_1847_b_001 cynare_1880_a_001 cynare_1880_b_001 cynare_1881_a_001 cynare_1881_b_001 cynare_1913_a_001 cynare_1913_b_001 cynare_1992_a_001 cynare_1992_b_001 cynare_1993_a_001 cynare_1993_b_001 cynare_1994_a_001 cynare_1994_b_001 cynare_1995_a_001 cynare_1995_b_001 cynare_1996_a_001 cynare_1996_b_001 cynare_1997_a_001 cynare_1997_b_001 cynare_1998_a_001 cynare_1998_b_001 cynare_1999_a_001 cynare_1999_b_001 cynare_2000_a_001 cynare_2000_b_001 cynare_2001_a_001 cynare_2001_b_001 cynare_2197_a_001 cynare_344_l_004 cynare_344_r_005 cynare_345_l_003 cynare_345_r_004 cynare_346_l_003 cynare_346_r_003 cynare_347_a_002 cynare_347_b_002 cynare_348_a_002 cynare_348_b_002 cynare_349_l_003 cynare_349_r_003 cynare_350_l_003 cynare_350_r_006 cynare_351_a_001 cynare_351_b_002 cynare_352_a_001 cynare_352_b_002 cynare_353_a_002 cynare_353_b_002 cynare_354_a_002 cynare_354_b_001 cynare_355_a_002 cynare_355_b_002 cynare_356_l_003 cynare_356_r_004 cynare_357_a_001 cynare_357_b_002 cynare_358_a_001 cynare_358_b_002 cynare_359_a_001 cynare_359_b_001 cynare_360_a_001 cynare_360_b_002 cynare_361_a_001 cynare_361_b_002 cynare_362_a_077 cynare_362_b_002 cynare_363_a_001 cynare_363_b_002 cynare_364_a_002 cynare_364_b_002 cynare_365_a_002 cynare_365_b_001 cynare_366_a_002 cynare_366_b_001 cynare_367_a_002 cynare_367_b_001 cynare_626_a_002 cynare_627_a_002 cynare_627_b_003 cynare_628_a_003 cynare_628_b_001

Class #28: Cynneb

Number of samples : 183
Classification Accuracy : 99.45% (182/183)
Most confused with : Mename
cynneb_1723_a_001 cynneb_1723_b_001 cynneb_1724_a_001 cynneb_1724_b_001 cynneb_1725_a_001 cynneb_1725_b_001 cynneb_1726_a_001 cynneb_1726_b_001 cynneb_1727_a_002 cynneb_1727_b_001 cynneb_1728_a_001 cynneb_1728_b_002 cynneb_1729_a_001 cynneb_1729_b_002 cynneb_1730_a_001 cynneb_1730_b_002 cynneb_1731_a_001 cynneb_1731_b_002 cynneb_1732_a_001 cynneb_1732_b_002 cynneb_1733_a_001 cynneb_1733_b_002 cynneb_1734_a_001 cynneb_1734_b_002 cynneb_1735_a_002 cynneb_1735_b_001 cynneb_1736_a_001 cynneb_1736_b_001 cynneb_1737_a_001 cynneb_1737_b_001 cynneb_1738_a_001 cynneb_1738_b_001 cynneb_1739_a_001 cynneb_1739_b_001 cynneb_1740_a_001 cynneb_1740_b_001 cynneb_1741_a_002 cynneb_1741_b_001 cynneb_1742_a_001 cynneb_1742_b_001 cynneb_1743_a_001 cynneb_1743_b_001 cynneb_1744_a_001 cynneb_1744_b_001 cynneb_1745_a_002 cynneb_1745_b_001 cynneb_1746_a_002 cynneb_1746_b_001 cynneb_1747_a_001 cynneb_1747_b_002 cynneb_1748_a_001 cynneb_1748_b_002 cynneb_1749_a_001 cynneb_1749_b_002 cynneb_1750_a_001 cynneb_1750_b_002 cynneb_2057_a_001 cynneb_2057_b_001 cynneb_2065_a_001 cynneb_2065_b_002 cynneb_2066_a_001 cynneb_2066_b_001 cynneb_2067_a_002 cynneb_2067_b_001 cynneb_2107_a_001 cynneb_2107_b_001 cynneb_2292_a_001 cynneb_2292_b_001 cynneb_2293_a_001 cynneb_2293_b_002 cynneb_2300_a_001 cynneb_2300_b_001 cynneb_2301_a_001 cynneb_2301_b_001 cynneb_2302_a_001 cynneb_2302_b_001 cynneb_2303_a_001 cynneb_2303_b_001 cynneb_2304_a_002 cynneb_2304_b_001 cynneb_2305_a_001 cynneb_2305_b_002 cynneb_2326_a_027 cynneb_2326_b_029 cynneb_2337_a_001 cynneb_2337_b_001 cynneb_2338_a_001 cynneb_2338_b_001 cynneb_2339_a_001 cynneb_2341_a_001 cynneb_2341_b_002 cynneb_2342_a_001 cynneb_2342_b_001 cynneb_2343_a_001 cynneb_2343_b_001 cynneb_2344_a_001 cynneb_2344_b_001 cynneb_2345_a_001 cynneb_2345_b_001 cynneb_2347_a_001 cynneb_2347_b_001 cynneb_2348_a_001 cynneb_2348_b_001 cynneb_2349_a_001 cynneb_2349_b_001 cynneb_2350_a_001 cynneb_2350_b_001 cynneb_2351_b_002 cynneb_2352_a_002 cynneb_2352_b_001 cynneb_2353_a_001 cynneb_2353_b_002 cynneb_2354_a_001 cynneb_2355_a_001 cynneb_2355_b_002 cynneb_2356_a_001 cynneb_2357_a_001 cynneb_2358_a_001 cynneb_2359_a_001 cynneb_2359_b_002 cynneb_2360_a_001 cynneb_2360_b_002 cynneb_2389_a_001 cynneb_2389_b_001 cynneb_2390_a_001 cynneb_2390_b_001 cynneb_2391_a_001 cynneb_2391_b_001 cynneb_732_l_005 cynneb_732_r_005 cynneb_733_a_001 cynneb_733_b_002 cynneb_734_a_001 cynneb_734_b_002 cynneb_735_b_001 cynneb_736_a_002 cynneb_737_a_001 cynneb_737_b_002 cynneb_738_a_002 cynneb_738_b_002 cynneb_739_b_001 cynneb_740_l_004 cynneb_740_r_003 cynneb_741_a_002 cynneb_741_b_002 cynneb_742_a_002 cynneb_742_b_002 cynneb_743_l_004 cynneb_743_r_004 cynneb_744_l_006 cynneb_744_r_003 cynneb_745_a_002 cynneb_745_b_001 cynneb_746_l_005 cynneb_746_r_004 cynneb_747_l_005 cynneb_747_r_006 cynneb_752_a_003 cynneb_752_b_003 cynneb_753_a_002 cynneb_753_b_001 cynneb_784_a_002 cynneb_784_b_003 cynneb_785_a_001 cynneb_785_b_002 cynneb_786_a_002 cynneb_786_b_002 cynneb_787_a_002 cynneb_787_b_003 cynneb_788_a_002 cynneb_788_b_003 cynneb_789_a_002 cynneb_789_b_002 cynneb_790_a_002 cynneb_790_b_003 cynneb_791_a_001 cynneb_791_b_002 cynneb_792_a_002 cynneb_792_b_002 cynneb_793_a_002 cynneb_793_b_002 cynneb_794_a_002 cynneb_794_b_003

Class #29: Cypvar

Number of samples : 105
Classification Accuracy : 96.19% (101/105)
Most confused with : Poelat
cypvar_1081_a_003 cypvar_1081_b_004 cypvar_1082_a_003 cypvar_1082_b_001 cypvar_1083_a_003 cypvar_1083_b_001 cypvar_1084_a_003 cypvar_1085_a_001 cypvar_1085_b_003 cypvar_1086_a_002 cypvar_1086_b_003 cypvar_1087_a_001 cypvar_1087_b_003 cypvar_1088_a_001 cypvar_1088_b_003 cypvar_1089_a_001 cypvar_1089_b_003 cypvar_1090_a_001 cypvar_1090_b_003 cypvar_1091_b_003 cypvar_1092_a_001 cypvar_1092_b_003 cypvar_1093_a_001 cypvar_1093_b_002 cypvar_1094_a_001 cypvar_1094_b_003 cypvar_1095_a_001 cypvar_1095_b_003 cypvar_1096_a_001 cypvar_1096_b_003 cypvar_1097_a_001 cypvar_1097_b_003 cypvar_1098_a_001 cypvar_1098_b_003 cypvar_2234_a_001 cypvar_2234_b_002 cypvar_2235_a_001 cypvar_2235_b_001 cypvar_2236_a_002 cypvar_2236_b_001 cypvar_2237_a_001 cypvar_2237_b_002 cypvar_2256_a_001 cypvar_2256_b_002 cypvar_2257_a_003 cypvar_2257_b_001 cypvar_2258_a_002 cypvar_2258_b_002 cypvar_2260_a_001 cypvar_2260_b_002 cypvar_2261_a_001 cypvar_2261_b_002 cypvar_2262_a_001 cypvar_2262_b_002 cypvar_2263_a_001 cypvar_2263_b_002 cypvar_2264_a_001 cypvar_2264_b_002 cypvar_2265_a_001 cypvar_2265_b_002 cypvar_2266_a_002 cypvar_2266_b_001 cypvar_2267_a_001 cypvar_2267_b_002 cypvar_2268_a_002 cypvar_2268_b_001 cypvar_2269_a_001 cypvar_2269_b_002 cypvar_2270_a_001 cypvar_2270_b_001 cypvar_2271_a_001 cypvar_2271_b_001 cypvar_2272_a_001 cypvar_2272_b_002 cypvar_2273_a_001 cypvar_2273_b_002 cypvar_2274_a_001 cypvar_2274_b_002 cypvar_2275_a_001 cypvar_2275_b_004 cypvar_2276_a_001 cypvar_2276_b_002 cypvar_2280_a_002 cypvar_2280_b_001 cypvar_2281_a_001 cypvar_2281_b_002 cypvar_2282_a_001 cypvar_2283_a_001 cypvar_2283_b_002 cypvar_2284_a_001 cypvar_2284_b_002 cypvar_2285_a_001 cypvar_2285_b_002 cypvar_2286_a_001 cypvar_2286_b_003 cypvar_2287_a_001 cypvar_2287_b_002 cypvar_2288_a_001 cypvar_2288_b_002 cypvar_2289_a_003 cypvar_2290_a_001 cypvar_2290_b_002 cypvar_2291_a_001 cypvar_2291_b_002 cypvar_320_l_002

Class #30: Dipfor

Number of samples : 12
Classification Accuracy : 100% (12/12)
Most confused with : Lutgri
dipfor_1833_a_001 dipfor_1833_b_002 dipfor_1834_a_001 dipfor_1834_b_002 dipfor_1865_a_001 dipfor_1865_b_001 dipfor_1866_a_001 dipfor_1866_b_001 dipfor_2202_a_001 dipfor_2202_b_001 dipfor_2203_a_001 dipfor_2203_b_001

Class #31: Dormac

Number of samples : 2
Classification Accuracy : 0% (0/2)
Most confused with : Poelat, Cypvar, Citspi, Fungra, Funsim, Ctebol, Evolyr, Goboce, Menber
dormac_2232_a_002 dormac_2232_b_001

Class #32: Dorpet

Number of samples : 27
Classification Accuracy : 85.19% (23/27)
Most confused with : Harjag
dorpet_1695_a_001 dorpet_1695_b_002 dorpet_1696_a_001 dorpet_1697_a_002 dorpet_1697_b_001 dorpet_187_a_003 dorpet_189_a_049 dorpet_189_b_002 dorpet_190_b_003 dorpet_192_a_052 dorpet_192_b_002 dorpet_193_a_002 dorpet_193_b_001 dorpet_194_a_001 dorpet_194_b_003 dorpet_195_a_004 dorpet_196_a_003 dorpet_196_b_001 dorpet_197_a_002 dorpet_197_b_002 dorpet_198_a_003 dorpet_198_b_002 dorpet_199_a_002 dorpet_199_b_003 dorpet_2278_a_001 dorpet_2279_a_001 dorpet_2279_b_002

Class #33: Erosma

Number of samples : 8
Classification Accuracy : 87.5% (7/8)
Most confused with : Lagrho, Sympla
erosma_171_a_038 erosma_171_b_002 erosma_2317_a_011 erosma_2317_b_013 erosma_2324_a_026 erosma_2324_b_026 erosma_2362_a_001 erosma_2362_b_001

Class #34: Eucarg

Number of samples : 12
Classification Accuracy : 50% (6/12)
Most confused with : Eucspp
eucarg_1361_a_001 eucarg_1361_b_002 eucarg_1362_a_001 eucarg_1362_b_002 eucarg_1363_a_001 eucarg_1363_b_002 eucarg_1364_a_001 eucarg_1364_b_002 eucarg_1365_a_002 eucarg_1365_b_001 eucarg_1366_a_002 eucarg_1366_b_001

Class #35: Eucgul

Number of samples : 14
Classification Accuracy : 57.14% (8/14)
Most confused with : Eucspp
eucgul_1354_a_002 eucgul_1354_b_001 eucgul_1355_a_002 eucgul_1355_b_001 eucgul_1356_a_002 eucgul_1356_b_001 eucgul_1357_a_002 eucgul_1357_b_001 eucgul_1358_a_002 eucgul_1358_b_001 eucgul_1359_a_001 eucgul_1360_a_001 eucgul_1360_b_002 eucgul_755_l_002

Class #36: Euchar

Number of samples : 9
Classification Accuracy : 33.33% (3/9)
Most confused with : Eucspp, Mugcur
euchar_385_a_002 euchar_385_b_002 euchar_386_a_003 euchar_387_a_003 euchar_387_b_003 euchar_388_a_002 euchar_389_a_001 euchar_389_b_003 euchar_390_a_002

Class #37: Eucmel

Number of samples : 34
Classification Accuracy : 91.18% (31/34)
Most confused with : Eucspp
eucmel_768_a_001 eucmel_768_b_002 eucmel_769_a_001 eucmel_769_b_002 eucmel_770_b_002 eucmel_771_a_002 eucmel_772_b_002 eucmel_773_a_003 eucmel_773_b_002 eucmel_774_a_003 eucmel_774_b_002 eucmel_775_a_002 eucmel_776_a_002 eucmel_776_b_002 eucmel_777_a_002 eucmel_777_b_001 eucmel_778_a_003 eucmel_778_b_002 eucmel_779_a_002 eucmel_779_b_005 eucmel_780_a_002 eucmel_780_b_002 eucmel_781_a_002 eucmel_781_b_002 eucmel_782_a_002 eucmel_782_b_002 eucmel_783_a_002 eucmel_783_b_002 eucmel_922_a_003 eucmel_922_b_002 eucmel_923_a_002 eucmel_923_b_002 eucmel_924_a_003 eucmel_924_b_002

Class #38: Eucspp

Number of samples : 113
Classification Accuracy : 79.65% (90/113)
Most confused with : Eucgul
eucspp_1323_a_001 eucspp_1323_b_002 eucspp_1324_b_001 eucspp_1325_a_001 eucspp_1325_b_002 eucspp_1326_a_001 eucspp_1326_b_002 eucspp_1327_a_001 eucspp_1328_a_002 eucspp_1328_b_002 eucspp_1329_a_002 eucspp_1329_b_001 eucspp_1330_a_002 eucspp_1330_b_001 eucspp_1331_a_002 eucspp_1331_b_001 eucspp_1332_a_002 eucspp_1332_b_001 eucspp_1333_a_002 eucspp_1333_b_001 eucspp_1334_a_002 eucspp_1334_b_001 eucspp_1335_a_002 eucspp_1335_b_001 eucspp_1336_a_002 eucspp_1336_b_001 eucspp_1337_a_003 eucspp_1337_b_001 eucspp_1338_a_002 eucspp_1338_b_001 eucspp_1339_a_002 eucspp_1339_b_003 eucspp_1340_a_001 eucspp_1340_b_002 eucspp_1341_a_001 eucspp_1341_b_002 eucspp_1342_a_001 eucspp_1342_b_002 eucspp_1343_a_001 eucspp_1343_b_002 eucspp_1344_a_001 eucspp_1344_b_002 eucspp_1345_a_001 eucspp_1345_b_002 eucspp_1346_a_001 eucspp_1346_b_002 eucspp_1347_a_001 eucspp_1347_b_002 eucspp_1348_a_001 eucspp_1348_b_002 eucspp_1349_a_001 eucspp_1349_b_002 eucspp_1350_a_001 eucspp_1351_a_001 eucspp_1351_b_002 eucspp_1352_a_001 eucspp_1352_b_002 eucspp_1353_b_001 eucspp_391_a_001 eucspp_392_a_003 eucspp_392_b_002 eucspp_393_b_003 eucspp_394_a_001 eucspp_395_b_002 eucspp_396_a_002 eucspp_396_b_001 eucspp_397_a_002 eucspp_397_b_001 eucspp_398_a_003 eucspp_398_b_002 eucspp_399_a_003 eucspp_399_b_002 eucspp_400_a_001 eucspp_400_b_001 eucspp_401_a_001 eucspp_401_b_002 eucspp_402_a_002 eucspp_402_b_001 eucspp_404_b_003 eucspp_405_a_002 eucspp_405_b_003 eucspp_406_b_003 eucspp_407_a_001 eucspp_408_b_003 eucspp_409_a_002 eucspp_410_a_002 eucspp_411_a_003 eucspp_411_b_003 eucspp_949_a_003 eucspp_949_b_001 eucspp_954_a_001 eucspp_954_b_003 eucspp_955_a_001 eucspp_955_b_002 eucspp_956_a_002 eucspp_956_b_002 eucspp_957_a_002 eucspp_957_b_002 eucspp_958_a_001 eucspp_958_b_002 eucspp_959_a_002 eucspp_959_b_003 eucspp_960_a_001 eucspp_961_a_002 eucspp_961_b_002 eucspp_962_a_002 eucspp_962_b_002 eucspp_963_a_002 eucspp_963_b_002 eucspp_964_a_002 eucspp_965_a_002 eucspp_967_a_002 eucspp_967_b_002

Class #39: Evolyr

Number of samples : 17
Classification Accuracy : 82.35% (14/17)
Most confused with : Ctebol
evolyr_154_a_014 evolyr_154_b_002 evolyr_155_a_002 evolyr_156_a_015 evolyr_156_b_001 evolyr_157_a_001 evolyr_157_b_001 evolyr_158_a_003 evolyr_158_b_001 evolyr_159_a_017 evolyr_159_b_002 evolyr_160_a_002 evolyr_160_b_002 evolyr_161_a_019 evolyr_161_b_002 evolyr_165_a_002 evolyr_165_b_002

Class #40: Fun

Number of samples : 7
Classification Accuracy : 100% (7/7)
Most confused with : Adixen, Cypvar, Ctebol, Sphpar
fun_pul_con_2313_a_001 fun_pul_con_2313_a_004 fun_pul_con_2314_a_004 fun_pul_con_2314_b_006 fun_pul_con_2315_a_006 fun_pul_con_2315_b_008 fun_pul_con_2316_b_010

Class #41: Fungra

Number of samples : 121
Classification Accuracy : 93.39% (113/121)
Most confused with : Funsim
fungra_1042_a_003 fungra_1042_b_001 fungra_1043_a_003 fungra_1043_b_001 fungra_1044_a_002 fungra_1044_b_002 fungra_1045_a_003 fungra_1045_b_001 fungra_1046_a_002 fungra_1046_b_001 fungra_1047_a_003 fungra_1047_b_001 fungra_1048_a_003 fungra_1048_b_002 fungra_1049_a_003 fungra_1049_b_001 fungra_1050_a_003 fungra_1050_b_001 fungra_1051_a_003 fungra_1051_b_001 fungra_1052_a_003 fungra_1052_b_001 fungra_1053_a_003 fungra_1053_b_001 fungra_1054_a_003 fungra_1054_b_001 fungra_1055_a_003 fungra_1055_b_001 fungra_1056_a_003 fungra_1056_b_001 fungra_1057_a_003 fungra_1057_b_001 fungra_1058_a_004 fungra_1058_b_001 fungra_1059_a_001 fungra_1059_b_003 fungra_1060_a_001 fungra_1060_b_003 fungra_1061_a_001 fungra_1061_b_003 fungra_1062_a_001 fungra_1062_b_003 fungra_1063_a_001 fungra_1063_b_003 fungra_1064_a_001 fungra_1064_b_003 fungra_1065_a_001 fungra_1065_b_003 fungra_1066_a_001 fungra_1066_b_003 fungra_1067_a_001 fungra_1067_b_003 fungra_1068_a_001 fungra_1068_b_003 fungra_1069_a_001 fungra_1069_b_003 fungra_1070_a_001 fungra_1070_b_003 fungra_1071_a_001 fungra_1071_b_003 fungra_2117_a_001 fungra_2118_a_001 fungra_2118_b_001 fungra_2119_a_001 fungra_2119_b_001 fungra_2120_a_001 fungra_2120_b_001 fungra_2121_a_001 fungra_2121_b_001 fungra_2122_a_001 fungra_2122_b_001 fungra_2123_a_001 fungra_2123_b_001 fungra_2124_a_001 fungra_2124_b_001 fungra_2125_a_001 fungra_2125_b_001 fungra_2126_a_001 fungra_2126_b_002 fungra_2127_a_001 fungra_2127_b_002 fungra_2128_a_001 fungra_2128_b_002 fungra_2129_a_001 fungra_2129_b_002 fungra_2130_a_001 fungra_2130_b_002 fungra_2131_a_001 fungra_2131_b_002 fungra_2132_a_001 fungra_2132_b_002 fungra_2133_a_001 fungra_2133_b_001 fungra_2134_a_001 fungra_2134_b_001 fungra_2135_a_001 fungra_2135_b_002 fungra_2136_a_003 fungra_2136_b_005 fungra_2137_a_005 fungra_2137_b_007 fungra_2138_a_007 fungra_2138_b_009 fungra_2139_a_009 fungra_2139_b_011 fungra_2140_a_011 fungra_2140_b_012 fungra_2141_a_012 fungra_2141_b_012 fungra_2566_a_001 fungra_2566_b_002 fungra_2567_a_001 fungra_2567_b_002 fungra_2568_a_001 fungra_2568_b_002 fungra_2569_a_001 fungra_2569_b_001 fungra_2570_a_001 fungra_2570_b_002 fungra_2571_a_001 fungra_2571_b_002

Class #42: Funmaj

Number of samples : 2
Classification Accuracy : 0% (0/2)
Most confused with : Funsim
funmaj_2513_a_001 funmaj_2513_b_002

Class #43: Funpul

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Funsim, Ctebol, Fungra
funpul_2116_a_001 funpul_2116_b_001

Class #44: Funsim

Number of samples : 96
Classification Accuracy : 95.83% (92/96)
Most confused with : Fungra
funsim_1027_a_002 funsim_1027_b_001 funsim_1028_a_003 funsim_1028_b_001 funsim_1029_a_003 funsim_1029_b_001 funsim_1030_a_003 funsim_1030_b_001 funsim_1031_a_002 funsim_1031_b_003 funsim_1032_a_001 funsim_1032_b_003 funsim_1033_a_001 funsim_1033_b_001 funsim_1034_a_001 funsim_1034_b_003 funsim_1035_a_001 funsim_1035_b_003 funsim_1137_a_001 funsim_1137_b_003 funsim_1138_a_001 funsim_1138_b_003 funsim_1139_a_001 funsim_1139_b_003 funsim_1140_a_001 funsim_1140_b_003 funsim_1141_a_001 funsim_1141_b_003 funsim_1142_a_001 funsim_1142_b_003 funsim_1143_a_001 funsim_1143_b_003 funsim_1144_a_001 funsim_1144_b_003 funsim_1145_a_001 funsim_1145_b_003 funsim_1146_a_001 funsim_1146_b_003 funsim_1147_a_001 funsim_1147_b_003 funsim_1148_a_001 funsim_1148_b_001 funsim_1149_a_001 funsim_1149_b_003 funsim_1150_a_001 funsim_1150_b_003 funsim_1151_a_001 funsim_1151_b_003 funsim_1152_a_001 funsim_1152_b_003 funsim_1153_a_001 funsim_1153_b_003 funsim_1154_a_001 funsim_1154_b_003 funsim_1272_a_001 funsim_1272_b_003 funsim_2514_a_001 funsim_2514_b_002 funsim_2515_a_001 funsim_2515_b_002 funsim_2516_a_001 funsim_2516_b_005 funsim_2517_a_001 funsim_2517_b_002 funsim_2518_a_001 funsim_2518_b_002 funsim_2519_a_001 funsim_2519_b_002 funsim_2520_a_001 funsim_2520_b_004 funsim_2521_a_001 funsim_2521_b_002 funsim_2522_a_001 funsim_2522_b_002 funsim_2523_a_001 funsim_2523_b_002 funsim_2524_a_001 funsim_2524_b_002 funsim_2525_a_001 funsim_2525_b_001 funsim_2526_a_001 funsim_2526_b_002 funsim_2527_a_001 funsim_2527_b_002 funsim_2528_a_002 funsim_2528_b_001 funsim_2529_a_002 funsim_2529_b_001 funsim_2530_a_001 funsim_2530_b_003 funsim_295_a_003 funsim_295_b_002 funsim_941_a_003 funsim_941_b_001 funsim_993_a_001 funsim_993_b_003

Class #45: Gamhol

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Mename, Citmac
gamhol_2233_a_002 gamhol_2233_b_001

Class #46: Gerreidae

Number of samples : 5
Classification Accuracy : 20% (1/5)
Most confused with : Eucmel
gerreidae_925_b_002 gerreidae_926_a_002 gerreidae_926_b_002 gerreidae_927_a_002 gerreidae_927_b_002

Class #47: Gobbos

Number of samples : 20
Classification Accuracy : 95% (19/20)
Most confused with : Citmac, Citspi, Baichr
gobbos_152_a_010 gobbos_152_b_001 gobbos_153_a_012 gobbos_153_b_003 gobbos_2449_a_001 gobbos_2449_b_002 gobbos_2562_a_002 gobbos_2562_b_002 gobbos_2563_a_001 gobbos_2563_b_002 gobbos_2564_a_002 gobbos_2564_b_001 gobbos_2565_a_001 gobbos_2565_b_001 gobbos_990_a_001 gobbos_990_b_001 gobbos_991_a_001 gobbos_991_b_003 gobbos_992_a_001 gobbos_992_b_001

Class #48: Goboce

Number of samples : 15
Classification Accuracy : 80% (12/15)
Most confused with : Ctebol
goboce_1461_a_001 goboce_1461_b_002 goboce_2323_a_023 goboce_2323_b_025 goboce_2363_a_001 goboce_2363_b_001 goboce_2364_a_001 goboce_2364_b_002 goboce_2365_a_003 goboce_2468_a_001 goboce_2468_b_001 goboce_2469_a_002 goboce_249_a_021 goboce_250_a_001 goboce_250_b_001

Class #49: Gobstr

Number of samples : 4
Classification Accuracy : 75% (3/4)
Most confused with : Lagrho, Scaridae, Sympla, Ctebol, Mugspp, Olisau
gobstr_2450_a_002 gobstr_2450_b_001 gobstr_2451_a_001 gobstr_2451_b_002

Class #50: Harjag

Number of samples : 121
Classification Accuracy : 96.69% (117/121)
Most confused with : Dorpet
harjag_1259_a_002 harjag_1259_b_001 harjag_1273_a_002 harjag_1273_b_002 harjag_1316_a_002 harjag_1316_b_002 harjag_1317_a_003 harjag_1317_b_002 harjag_1318_a_002 harjag_1319_a_001 harjag_1320_a_002 harjag_1320_b_002 harjag_1321_a_002 harjag_1322_a_002 harjag_1322_b_002 harjag_1512_a_002 harjag_1512_b_001 harjag_1513_a_002 harjag_1513_b_001 harjag_1514_a_002 harjag_1514_b_001 harjag_1515_a_002 harjag_1515_b_002 harjag_1516_a_003 harjag_1517_a_001 harjag_1517_b_002 harjag_1518_a_001 harjag_1518_b_002 harjag_1519_a_001 harjag_1519_b_002 harjag_1520_a_001 harjag_1520_b_002 harjag_1521_a_001 harjag_1522_a_002 harjag_1522_b_001 harjag_1523_a_002 harjag_1523_b_001 harjag_1524_a_002 harjag_1524_b_001 harjag_1525_a_002 harjag_1525_b_001 harjag_1526_a_001 harjag_1526_b_002 harjag_1527_a_001 harjag_1527_b_002 harjag_1528_a_001 harjag_1528_b_002 harjag_1529_a_001 harjag_1529_b_002 harjag_1530_a_001 harjag_1530_b_002 harjag_1531_a_002 harjag_1531_b_001 harjag_1532_a_002 harjag_1532_b_001 harjag_1533_a_002 harjag_1533_b_001 harjag_1534_a_002 harjag_1534_b_001 harjag_1535_a_002 harjag_1535_b_001 harjag_1536_a_002 harjag_1536_b_001 harjag_1537_a_002 harjag_1537_b_001 harjag_2433_a_001 harjag_2433_b_002 harjag_635_b_001 harjag_636_b_003 harjag_673_a_002 harjag_673_b_002 harjag_676_b_002 harjag_677_a_002 harjag_679_a_002 harjag_681_a_002 harjag_681_b_001 harjag_682_b_001 harjag_683_a_002 harjag_685_a_002 harjag_686_a_002 harjag_690_a_001 harjag_691_a_002 harjag_692_a_002 harjag_693_a_003 harjag_693_b_002 harjag_694_a_001 harjag_695_a_003 harjag_696_a_002 harjag_697_a_002 harjag_697_b_003 harjag_698_a_002 harjag_700_a_001 harjag_701_a_003 harjag_705_a_002 harjag_705_b_002 harjag_706_a_002 harjag_707_a_002 harjag_707_b_002 harjag_708_a_002 harjag_709_a_001 harjag_710_b_002 harjag_711_b_003 harjag_712_a_001 harjag_712_b_002 harjag_713_a_002 harjag_714_a_003 harjag_715_a_002 harjag_715_b_003 harjag_716_a_002 harjag_717_a_003 harjag_718_a_002 harjag_719_b_003 harjag_720_a_003 harjag_721_a_002 harjag_721_b_002 harjag_722_a_002 harjag_723_a_002 harjag_723_b_003 harjag_724_a_002 harjag_724_b_001 harjag_725_a_003

Class #51: Hypmee

Number of samples : 5
Classification Accuracy : 80% (4/5)
Most confused with : Scioce, Leixan
hypmee_749_a_001 hypmee_749_b_003 hypmee_750_a_001 hypmee_750_b_003 hypmee_751_a_001

Class #52: Lagrho

Number of samples : 137
Classification Accuracy : 87.59% (120/137)
Most confused with : Stecap
lagrho_10_a_001 lagrho_10_b_001 lagrho_11_a_002 lagrho_11_b_001 lagrho_1234_a_003 lagrho_1234_b_002 lagrho_1235_a_002 lagrho_1235_b_001 lagrho_1236_a_002 lagrho_1236_b_001 lagrho_1237_a_002 lagrho_1237_b_002 lagrho_1238_a_002 lagrho_1238_b_001 lagrho_1239_a_002 lagrho_1239_b_001 lagrho_1240_a_001 lagrho_1240_b_001 lagrho_1241_a_002 lagrho_1241_b_001 lagrho_1242_a_001 lagrho_1242_b_002 lagrho_1243_a_002 lagrho_1244_a_002 lagrho_1244_b_002 lagrho_1245_a_001 lagrho_1245_b_002 lagrho_1246_a_002 lagrho_1246_b_002 lagrho_12_a_004 lagrho_12_b_001 lagrho_13_a_002 lagrho_13_b_002 lagrho_14_a_002 lagrho_14_b_002 lagrho_15_a_002 lagrho_15_b_003 lagrho_16_a_001 lagrho_16_b_003 lagrho_17_a_002 lagrho_17_b_002 lagrho_1808_a_002 lagrho_1808_b_001 lagrho_1809_a_001 lagrho_1809_b_001 lagrho_1810_a_001 lagrho_1810_b_002 lagrho_1811_a_001 lagrho_1811_b_002 lagrho_1812_a_001 lagrho_1812_b_002 lagrho_1813_a_001 lagrho_1813_b_002 lagrho_1814_a_001 lagrho_1814_b_002 lagrho_1815_a_001 lagrho_1815_b_002 lagrho_1817_a_001 lagrho_1817_b_001 lagrho_1819_a_001 lagrho_1819_b_002 lagrho_1820_a_001 lagrho_1820_b_002 lagrho_1821_a_001 lagrho_1821_b_002 lagrho_1822_b_002 lagrho_1823_a_001 lagrho_1823_b_001 lagrho_1824_a_001 lagrho_1824_b_001 lagrho_1825_a_001 lagrho_1825_b_001 lagrho_1826_a_001 lagrho_1826_b_001 lagrho_1827_a_001 lagrho_1827_b_001 lagrho_1828_a_001 lagrho_1828_b_001 lagrho_18_a_004 lagrho_18_b_002 lagrho_19_a_003 lagrho_19_b_001 lagrho_1_a_002 lagrho_1_b_002 lagrho_20_a_001 lagrho_20_b_003 lagrho_21_a_001 lagrho_21_b_002 lagrho_22_a_001 lagrho_22_b_001 lagrho_23_a_008 lagrho_23_b_002 lagrho_24_a_003 lagrho_24_b_001 lagrho_2531_a_001 lagrho_2532_a_002 lagrho_2533_a_001 lagrho_2533_b_002 lagrho_2534_a_001 lagrho_2534_b_002 lagrho_2535_a_001 lagrho_2535_b_002 lagrho_2536_a_001 lagrho_2536_b_002 lagrho_2537_a_001 lagrho_2538_a_001 lagrho_2538_b_001 lagrho_2539_a_002 lagrho_2540_a_001 lagrho_2540_b_003 lagrho_2_a_001 lagrho_2_b_003 lagrho_3_a_002 lagrho_3_b_002 lagrho_4_a_002 lagrho_4_b_003 lagrho_543_a_002 lagrho_543_b_002 lagrho_544_a_003 lagrho_544_b_001 lagrho_545_b_001 lagrho_546_a_002 lagrho_546_b_003 lagrho_547_a_002 lagrho_547_b_003 lagrho_548_a_002 lagrho_549_a_001 lagrho_550_a_002 lagrho_5_a_002 lagrho_5_b_002 lagrho_6_a_004 lagrho_6_b_002 lagrho_7_a_006 lagrho_7_b_004 lagrho_8_b_001 lagrho_9_a_004 lagrho_9_b_002

Class #53: Larfas

Number of samples : 46
Classification Accuracy : 91.3% (42/46)
Most confused with : Leixan
larfas_1597_a_001 larfas_1597_b_001 larfas_1890_a_001 larfas_1890_b_001 larfas_1891_a_001 larfas_1891_b_001 larfas_1892_a_001 larfas_1892_b_001 larfas_1893_a_001 larfas_1893_b_001 larfas_1894_a_001 larfas_1894_b_001 larfas_312_a_020 larfas_312_b_002 larfas_313_a_022 larfas_313_b_002 larfas_314_a_024 larfas_314_b_003 larfas_315_a_026 larfas_315_b_002 larfas_977_a_002 larfas_977_b_002 larfas_978_a_002 larfas_978_b_001 larfas_979_a_001 larfas_979_b_002 larfas_980_a_001 larfas_980_b_001 larfas_981_a_002 larfas_981_b_001 larfas_982_a_003 larfas_982_b_001 larfas_983_a_003 larfas_983_b_002 larfas_984_a_003 larfas_984_b_003 larfas_985_a_001 larfas_985_b_002 larfas_986_a_001 larfas_986_b_001 larfas_987_a_002 larfas_987_b_002 larfas_988_a_002 larfas_988_b_003 larfas_989_a_002 larfas_989_b_003

Class #54: Leixan

Number of samples : 128
Classification Accuracy : 99.22% (127/128)
Most confused with : Scioce, Micund, Mename
leixan_1036_a_002 leixan_1036_b_002 leixan_1037_a_001 leixan_1037_b_002 leixan_1038_a_001 leixan_1038_b_001 leixan_1039_a_001 leixan_1039_b_001 leixan_1040_a_001 leixan_1040_b_001 leixan_1041_a_001 leixan_1041_b_001 leixan_1252_a_001 leixan_1252_b_001 leixan_1253_a_001 leixan_1253_b_001 leixan_1254_a_001 leixan_1254_b_001 leixan_1309_a_001 leixan_1309_b_002 leixan_1310_a_001 leixan_1310_b_002 leixan_1599_a_001 leixan_1599_b_001 leixan_1600_a_001 leixan_1600_b_001 leixan_1601_a_001 leixan_1601_b_001 leixan_1602_a_001 leixan_1602_b_001 leixan_1603_a_001 leixan_1603_b_001 leixan_1604_a_001 leixan_1604_b_001 leixan_1605_a_001 leixan_1605_b_001 leixan_1606_a_001 leixan_1606_b_001 leixan_1607_a_001 leixan_1607_a_002 leixan_1608_a_001 leixan_1608_b_001 leixan_1609_a_001 leixan_1609_b_001 leixan_1610_a_001 leixan_1610_b_001 leixan_1611_a_001 leixan_1611_b_001 leixan_1612_a_001 leixan_1612_b_001 leixan_1613_a_001 leixan_1613_b_001 leixan_1614_a_001 leixan_1614_b_001 leixan_1615_a_001 leixan_1615_b_001 leixan_1616_a_001 leixan_1616_b_001 leixan_1617_a_001 leixan_1617_b_001 leixan_1618_a_001 leixan_1618_b_001 leixan_1619_a_002 leixan_1619_b_001 leixan_1620_a_002 leixan_1620_b_001 leixan_1621_a_001 leixan_1621_b_002 leixan_1622_a_001 leixan_1622_b_002 leixan_1623_a_001 leixan_1623_b_002 leixan_1624_a_001 leixan_1624_b_002 leixan_1625_a_001 leixan_1625_b_002 leixan_1626_a_001 leixan_1626_b_002 leixan_1627_a_001 leixan_1627_b_002 leixan_1628_a_001 leixan_1628_b_002 leixan_1629_a_001 leixan_1629_b_002 leixan_1630_a_001 leixan_1630_b_001 leixan_1631_a_001 leixan_1631_b_002 leixan_1632_a_001 leixan_1632_b_002 leixan_1633_a_001 leixan_1633_b_002 leixan_1634_a_001 leixan_1634_b_002 leixan_1635_a_001 leixan_1635_b_002 leixan_1636_a_001 leixan_1636_b_002 leixan_1637_a_001 leixan_1637_b_002 leixan_1638_a_001 leixan_1638_b_002 leixan_1639_a_001 leixan_1639_b_001 leixan_1640_a_001 leixan_1640_b_002 leixan_1641_a_001 leixan_1641_b_002 leixan_1642_a_001 leixan_1642_b_002 leixan_1643_a_001 leixan_1643_b_002 leixan_1644_a_001 leixan_1644_b_002 leixan_2402_a_003 leixan_2402_b_002 leixan_758_l_002 leixan_758_r_002 leixan_759_l_002 leixan_759_r_002 leixan_760_l_003 leixan_760_r_002 leixan_761_l_003 leixan_761_r_002 leixan_933_a_001 leixan_933_b_002 leixan_940_a_002 leixan_940_b_002

Class #55: Lucpar

Number of samples : 5
Classification Accuracy : 80% (4/5)
Most confused with : Cypvar, Fungra, Citspi, Ctebol
lucpar_296_a_005 lucpar_799_a_001 lucpar_799_b_005 lucpar_800_a_002 lucpar_800_b_002

Class #56: Lutcam

Number of samples : 72
Classification Accuracy : 97.22% (70/72)
Most confused with : Lutsyn
lutcam_1395_a_001 lutcam_1395_b_002 lutcam_1396_a_002 lutcam_1396_b_001 lutcam_1397_a_002 lutcam_1397_b_002 lutcam_1398_a_002 lutcam_1398_b_002 lutcam_1399_a_002 lutcam_1399_b_001 lutcam_1400_a_002 lutcam_1400_b_001 lutcam_1401_a_002 lutcam_1401_b_001 lutcam_1402_a_001 lutcam_1402_b_002 lutcam_1403_a_001 lutcam_1403_b_002 lutcam_1404_a_002 lutcam_1404_b_001 lutcam_1405_a_002 lutcam_1405_b_001 lutcam_1406_a_002 lutcam_1406_b_001 lutcam_1407_a_002 lutcam_1407_b_001 lutcam_1408_a_002 lutcam_1408_b_002 lutcam_1409_a_002 lutcam_1409_b_001 lutcam_1410_a_002 lutcam_1410_b_001 lutcam_1411_a_001 lutcam_1411_b_002 lutcam_1412_a_002 lutcam_1412_b_001 lutcam_1413_a_002 lutcam_1413_b_001 lutcam_1414_a_001 lutcam_1414_b_002 lutcam_1415_a_001 lutcam_1415_b_002 lutcam_1416_a_001 lutcam_1416_b_002 lutcam_1417_a_002 lutcam_1417_b_002 lutcam_1418_a_002 lutcam_1418_b_002 lutcam_1419_a_002 lutcam_1419_b_001 lutcam_1420_a_002 lutcam_1420_b_001 lutcam_1421_a_002 lutcam_1421_b_002 lutcam_1422_a_002 lutcam_1422_b_001 lutcam_1831_a_001 lutcam_1831_b_001 lutcam_1854_a_001 lutcam_1854_b_001 lutcam_1914_a_001 lutcam_1914_b_001 lutcam_2093_a_001 lutcam_2093_b_001 lutcam_2101_a_001 lutcam_2101_b_001 lutcam_2103_a_001 lutcam_2103_b_001 lutcam_2104_a_001 lutcam_2104_b_001 lutcam_2106_a_001 lutcam_2106_b_001

Class #57: Lutgri

Number of samples : 147
Classification Accuracy : 95.24% (140/147)
Most confused with : Censtr
lutgri_109_a_002 lutgri_110_a_003 lutgri_111_a_047 lutgri_115_b_011 lutgri_118_a_006 lutgri_119_a_008 lutgri_119_b_023 lutgri_120_a_026 lutgri_121_a_029 lutgri_1224_a_002 lutgri_1224_b_001 lutgri_1225_a_001 lutgri_1226_a_002 lutgri_1226_b_002 lutgri_1227_a_001 lutgri_1227_b_002 lutgri_1228_a_001 lutgri_1228_b_002 lutgri_1229_a_001 lutgri_1229_b_002 lutgri_122_a_034 lutgri_1230_a_001 lutgri_1230_b_001 lutgri_1231_a_002 lutgri_1231_b_002 lutgri_1232_a_002 lutgri_1232_b_002 lutgri_1233_a_002 lutgri_1233_b_002 lutgri_123_b_039 lutgri_124_b_040 lutgri_125_b_002 lutgri_127_a_003 lutgri_128_b_002 lutgri_130_b_002 lutgri_132_a_002 lutgri_133_a_002 lutgri_133_b_003 lutgri_134_b_001 lutgri_135_a_002 lutgri_135_b_002 lutgri_136_b_002 lutgri_137_a_003 lutgri_137_b_001 lutgri_138_b_002 lutgri_139_a_002 lutgri_140_a_003 lutgri_140_b_002 lutgri_141_a_003 lutgri_142_a_003 lutgri_142_b_003 lutgri_143_a_001 lutgri_144_a_002 lutgri_144_b_001 lutgri_145_a_002 lutgri_145_b_002 lutgri_146_b_001 lutgri_147_a_003 lutgri_147_b_002 lutgri_148_a_002 lutgri_149_a_002 lutgri_150_a_002 lutgri_150_b_001 lutgri_151_a_002 lutgri_1708_a_001 lutgri_1708_b_001 lutgri_1709_a_001 lutgri_1709_b_001 lutgri_1710_a_001 lutgri_1710_b_001 lutgri_1712_a_002 lutgri_1712_b_001 lutgri_1714_a_001 lutgri_1714_b_001 lutgri_1715_a_002 lutgri_1715_b_001 lutgri_1716_a_001 lutgri_1716_b_004 lutgri_1717_a_001 lutgri_1718_a_001 lutgri_1718_b_002 lutgri_1719_a_001 lutgri_1719_b_002 lutgri_1720_a_001 lutgri_1720_b_002 lutgri_1721_a_001 lutgri_1721_b_002 lutgri_1722_a_001 lutgri_1722_b_002 lutgri_1751_a_001 lutgri_1751_a_002 lutgri_1752_a_001 lutgri_1752_b_002 lutgri_1753_a_001 lutgri_1753_b_002 lutgri_1754_a_001 lutgri_1754_b_002 lutgri_1755_a_001 lutgri_1755_b_002 lutgri_2023_a_001 lutgri_2023_b_001 lutgri_2024_a_001 lutgri_2024_b_001 lutgri_2025_a_001 lutgri_2025_b_001 lutgri_2048_a_002 lutgri_2049_a_001 lutgri_2049_b_001 lutgri_2051_a_001 lutgri_2051_b_001 lutgri_2054_a_001 lutgri_2055_a_001 lutgri_2058_a_001 lutgri_2058_b_001 lutgri_2059_a_001 lutgri_2059_b_001 lutgri_2060_a_001 lutgri_2060_b_001 lutgri_2061_a_001 lutgri_2062_a_001 lutgri_2062_b_001 lutgri_2063_a_001 lutgri_2064_a_002 lutgri_2071_a_001 lutgri_2071_b_001 lutgri_2086_a_001 lutgri_2086_b_001 lutgri_2092_a_001 lutgri_2092_b_001 lutgri_2100_a_001 lutgri_2102_a_001 lutgri_2102_b_001 lutgri_2105_a_001 lutgri_2105_b_001 lutgri_2294_a_001 lutgri_2295_a_001 lutgri_2296_a_001 lutgri_2297_a_001 lutgri_2297_b_001 lutgri_2298_b_002 lutgri_2329_a_029 lutgri_2329_b_029 lutgri_2330_a_029 lutgri_2330_b_029 lutgri_2346_a_002 lutgri_2346_b_001 lutgri_2392_a_001

Class #58: Lutsyn

Number of samples : 130
Classification Accuracy : 96.92% (126/130)
Most confused with : Lagrho
lutsyn_1423_a_001 lutsyn_1423_b_001 lutsyn_1424_a_002 lutsyn_1424_b_001 lutsyn_1425_a_001 lutsyn_1425_b_002 lutsyn_1832_a_001 lutsyn_1832_b_001 lutsyn_2012_a_002 lutsyn_2012_b_001 lutsyn_2013_a_001 lutsyn_2013_b_001 lutsyn_2014_a_001 lutsyn_2014_b_001 lutsyn_2015_a_002 lutsyn_2015_b_001 lutsyn_2016_a_001 lutsyn_2016_b_001 lutsyn_2017_a_001 lutsyn_2017_b_001 lutsyn_2018_a_001 lutsyn_2018_b_001 lutsyn_2019_a_001 lutsyn_2019_b_001 lutsyn_2020_a_001 lutsyn_2020_b_001 lutsyn_2021_a_001 lutsyn_2021_b_001 lutsyn_2022_a_001 lutsyn_2022_b_001 lutsyn_2031_a_001 lutsyn_2031_b_001 lutsyn_2032_a_001 lutsyn_2032_b_001 lutsyn_2033_a_001 lutsyn_2033_b_001 lutsyn_2034_a_001 lutsyn_2034_b_001 lutsyn_2035_a_001 lutsyn_2035_b_001 lutsyn_2036_a_001 lutsyn_2036_b_001 lutsyn_2037_a_001 lutsyn_2037_b_001 lutsyn_2050_a_001 lutsyn_2050_b_001 lutsyn_2069_a_001 lutsyn_2069_b_002 lutsyn_2087_a_001 lutsyn_2087_b_001 lutsyn_2088_a_001 lutsyn_2088_b_001 lutsyn_2089_a_001 lutsyn_2089_b_001 lutsyn_2090_a_001 lutsyn_2090_b_001 lutsyn_2091_a_001 lutsyn_2091_b_001 lutsyn_2142_a_012 lutsyn_2142_b_012 lutsyn_2143_a_012 lutsyn_2143_b_012 lutsyn_2144_a_012 lutsyn_2144_b_012 lutsyn_2145_a_012 lutsyn_2145_b_012 lutsyn_2146_a_012 lutsyn_2146_b_012 lutsyn_2147_a_012 lutsyn_2147_b_012 lutsyn_2148_a_012 lutsyn_2148_b_012 lutsyn_2149_a_012 lutsyn_2149_b_012 lutsyn_2150_a_012 lutsyn_2150_b_014 lutsyn_2151_a_014 lutsyn_2151_b_014 lutsyn_2152_a_014 lutsyn_2152_b_014 lutsyn_2153_a_014 lutsyn_2153_b_014 lutsyn_2163_a_028 lutsyn_2163_b_028 lutsyn_2164_a_028 lutsyn_2164_b_028 lutsyn_2206_a_001 lutsyn_2206_b_001 lutsyn_2207_a_001 lutsyn_2207_b_001 lutsyn_2208_a_001 lutsyn_2208_b_001 lutsyn_2209_a_001 lutsyn_2209_b_001 lutsyn_2210_a_001 lutsyn_2210_b_001 lutsyn_2211_a_001 lutsyn_2211_b_001 lutsyn_2212_a_001 lutsyn_2212_b_001 lutsyn_2213_a_001 lutsyn_2213_b_001 lutsyn_2214_a_001 lutsyn_2214_b_001 lutsyn_2215_a_001 lutsyn_2215_b_002 lutsyn_2216_a_001 lutsyn_2216_b_002 lutsyn_2217_a_001 lutsyn_2217_b_001 lutsyn_2218_a_001 lutsyn_2218_b_002 lutsyn_2219_a_001 lutsyn_2219_b_002 lutsyn_2224_a_001 lutsyn_2224_b_002 lutsyn_2225_a_001 lutsyn_2225_b_002 lutsyn_2226_a_001 lutsyn_2226_b_001 lutsyn_2227_a_001 lutsyn_2227_b_001 lutsyn_2228_a_001 lutsyn_2228_b_002 lutsyn_2229_a_001 lutsyn_2229_b_002 lutsyn_2307_a_001 lutsyn_2307_b_002 lutsyn_2432_a_001 lutsyn_2432_b_001

Class #59: Memmar

Number of samples : 81
Classification Accuracy : 91.36% (74/81)
Most confused with : Menber
memmar_1367_a_002 memmar_1367_b_001 memmar_1368_a_002 memmar_1368_b_001 memmar_1369_a_001 memmar_1369_b_002 memmar_1370_a_001 memmar_1370_b_002 memmar_1371_a_001 memmar_1371_b_002 memmar_1372_a_001 memmar_1372_b_002 memmar_1373_a_001 memmar_1373_b_002 memmar_1374_a_001 memmar_1374_b_002 memmar_1944_a_001 memmar_1944_b_002 memmar_1945_a_001 memmar_1945_b_002 memmar_1946_a_001 memmar_1946_b_002 memmar_1947_a_001 memmar_1947_b_002 memmar_1948_a_001 memmar_1948_b_002 memmar_1949_a_001 memmar_1950_a_001 memmar_1951_a_001 memmar_1951_b_002 memmar_1952_a_001 memmar_1952_b_003 memmar_1953_a_001 memmar_1953_b_002 memmar_1954_a_001 memmar_1954_b_002 memmar_1955_a_001 memmar_1955_b_002 memmar_1956_a_001 memmar_1956_b_002 memmar_1957_a_001 memmar_1957_b_002 memmar_1958_a_001 memmar_1958_b_004 memmar_1959_a_001 memmar_1959_b_002 memmar_1960_a_001 memmar_1960_b_002 memmar_1961_a_001 memmar_1961_b_002 memmar_1962_a_001 memmar_1962_b_002 memmar_1963_a_001 memmar_1963_b_002 memmar_1964_a_001 memmar_1964_b_002 memmar_1965_a_001 memmar_1965_b_002 memmar_1966_a_001 memmar_1966_b_002 memmar_1967_a_001 memmar_1967_b_002 memmar_1968_a_001 memmar_1968_b_002 memmar_1969_a_001 memmar_1969_b_001 memmar_1970_a_001 memmar_1970_b_002 memmar_1971_a_001 memmar_1971_b_002 memmar_2002_a_001 memmar_2002_b_002 memmar_2003_a_001 memmar_2003_b_002 memmar_2004_a_001 memmar_2005_a_001 memmar_2005_b_001 memmar_630_a_002 memmar_631_b_002 memmar_632_a_001 memmar_632_b_002

Class #60: Mename

Number of samples : 151
Classification Accuracy : 100% (151/151)
Most confused with : Cynneb
mename_1000_a_002 mename_1000_b_002 mename_1001_a_001 mename_1001_b_003 mename_1002_a_002 mename_1002_b_001 mename_1003_a_001 mename_1003_b_003 mename_1004_a_003 mename_1004_b_001 mename_1005_a_001 mename_1005_b_002 mename_1006_a_002 mename_1006_b_001 mename_1007_a_002 mename_1007_b_001 mename_1008_a_001 mename_1008_b_001 mename_1009_a_003 mename_1009_b_001 mename_1010_a_003 mename_1010_b_002 mename_1011_a_003 mename_1011_b_002 mename_1012_a_002 mename_1012_b_002 mename_1013_a_002 mename_1013_b_002 mename_1014_a_002 mename_1014_b_001 mename_1015_a_002 mename_1015_b_005 mename_1016_a_001 mename_1016_b_002 mename_1017_a_002 mename_1017_b_002 mename_1018_a_002 mename_1018_b_002 mename_1019_a_002 mename_1019_b_001 mename_1020_a_003 mename_1020_b_003 mename_1021_a_003 mename_1021_b_002 mename_1022_a_003 mename_1022_b_005 mename_1023_a_002 mename_1023_b_002 mename_1024_a_003 mename_1024_b_001 mename_1026_a_002 mename_1026_b_001 mename_1698_a_001 mename_1698_b_001 mename_1699_a_001 mename_1699_b_001 mename_1700_a_001 mename_1700_b_001 mename_1801_a_001 mename_1801_b_001 mename_1862_a_001 mename_1862_b_001 mename_1863_a_001 mename_1863_b_001 mename_1864_a_001 mename_1864_b_001 mename_1882_a_001 mename_1882_b_001 mename_1883_a_001 mename_1883_b_001 mename_1884_a_001 mename_1884_b_001 mename_1885_a_001 mename_1885_b_001 mename_1918_a_001 mename_1918_b_001 mename_1919_a_002 mename_1919_b_002 mename_1920_a_001 mename_1920_b_001 mename_1921_a_001 mename_1921_b_001 mename_1922_a_001 mename_1922_b_001 mename_1923_a_001 mename_1923_b_001 mename_1924_a_001 mename_1924_b_002 mename_1925_a_001 mename_1925_b_001 mename_1926_a_001 mename_1926_b_001 mename_1927_a_001 mename_1927_b_001 mename_1928_a_001 mename_1928_b_001 mename_1929_a_001 mename_1929_b_001 mename_1930_a_001 mename_1930_b_001 mename_1931_a_001 mename_1931_b_001 mename_1932_a_001 mename_1932_b_001 mename_1933_a_001 mename_1933_b_001 mename_1934_a_001 mename_1934_b_001 mename_1935_a_001 mename_1935_b_001 mename_1936_a_001 mename_1936_b_001 mename_1937_a_001 mename_1937_b_001 mename_1938_a_001 mename_1938_b_001 mename_1939_a_001 mename_1939_b_001 mename_1940_a_001 mename_1940_b_001 mename_1941_a_001 mename_1941_b_001 mename_1942_a_001 mename_1942_b_001 mename_596_a_002 mename_596_b_001 mename_597_a_001 mename_597_b_002 mename_598_a_002 mename_598_b_002 mename_599_b_002 mename_600_a_002 mename_600_b_001 mename_601_a_002 mename_601_b_001 mename_622_a_003 mename_622_b_002 mename_623_a_003 mename_623_b_002 mename_624_a_002 mename_624_b_001 mename_935_a_001 mename_935_b_002 mename_936_a_002 mename_936_b_001 mename_937_a_002 mename_937_b_001 mename_938_a_001 mename_938_b_002 mename_939_a_003 mename_939_b_002

Class #61: Menber

Number of samples : 149
Classification Accuracy : 91.95% (137/149)
Most confused with : Memmar
menber_1775_a_001 menber_1775_b_002 menber_1787_a_001 menber_1787_b_002 menber_1788_a_001 menber_1788_b_002 menber_1789_a_001 menber_1789_b_002 menber_1790_a_001 menber_1790_b_002 menber_1791_a_001 menber_1791_b_002 menber_1895_a_001 menber_1895_b_002 menber_1896_a_002 menber_1896_b_001 menber_1897_a_001 menber_1897_b_004 menber_1898_a_001 menber_1899_a_001 menber_1899_b_001 menber_1900_a_001 menber_1900_b_002 menber_1901_a_001 menber_1901_b_002 menber_1902_a_001 menber_1902_b_002 menber_1903_a_001 menber_1903_b_002 menber_1904_a_001 menber_1904_b_002 menber_1905_a_001 menber_1905_b_002 menber_1906_a_001 menber_1906_b_002 menber_1907_a_001 menber_1907_b_002 menber_1908_a_001 menber_1908_b_002 menber_1915_a_002 menber_1915_b_001 menber_1916_a_001 menber_1916_b_001 menber_1917_a_001 menber_1917_b_002 menber_602_a_001 menber_602_b_002 menber_603_a_002 menber_603_b_001 menber_604_a_002 menber_638_a_002 menber_638_b_002 menber_801_a_002 menber_801_b_002 menber_802_a_002 menber_802_b_002 menber_803_a_002 menber_803_b_002 menber_804_a_002 menber_804_b_002 menber_805_a_002 menber_805_b_002 menber_806_a_001 menber_806_b_003 menber_807_a_002 menber_807_b_002 menber_808_a_002 menber_808_b_003 menber_809_a_002 menber_809_b_002 menber_810_a_002 menber_810_b_002 menber_811_a_002 menber_811_b_002 menber_812_a_002 menber_812_b_002 menber_813_a_001 menber_813_b_002 menber_814_a_002 menber_814_b_003 menber_815_a_002 menber_815_b_002 menber_816_a_002 menber_816_b_002 menber_817_a_001 menber_817_b_003 menber_818_a_002 menber_818_b_002 menber_819_a_001 menber_819_b_002 menber_820_a_002 menber_820_b_002 menber_821_a_002 menber_821_b_002 menber_822_a_003 menber_822_b_001 menber_823_a_002 menber_823_b_002 menber_824_a_002 menber_824_b_003 menber_825_a_002 menber_825_b_001 menber_827_a_002 menber_827_b_003 menber_828_a_003 menber_828_b_003 menber_829_a_003 menber_829_b_002 menber_830_a_002 menber_830_b_005 menber_831_a_002 menber_831_b_002 menber_832_a_002 menber_832_b_002 menber_833_a_001 menber_833_b_006 menber_834_a_002 menber_834_b_002 menber_835_a_003 menber_835_b_002 menber_836_a_002 menber_836_b_002 menber_837_a_002 menber_837_b_001 menber_838_a_002 menber_838_b_002 menber_839_a_001 menber_839_b_002 menber_840_a_002 menber_840_b_003 menber_841_a_002 menber_841_b_002 menber_842_a_002 menber_842_b_003 menber_843_a_001 menber_843_b_002 menber_844_a_002 menber_844_b_004 menber_845_a_001 menber_845_b_002 menber_846_a_002 menber_846_b_002 menber_847_a_002 menber_847_b_002 menber_848_a_002 menber_848_b_003 menber_849_a_002 menber_849_b_003 menber_850_a_001

Class #62: Menlit

Number of samples : 6
Classification Accuracy : 66.67% (4/6)
Most confused with : Mename
menlit_1155_a_003 menlit_1155_b_001 menlit_1977_a_001 menlit_1977_b_002 menlit_1978_a_001 menlit_1978_b_002

Class #63: Menpen

Number of samples : 44
Classification Accuracy : 86.36% (38/44)
Most confused with : Lagrho
menpen_200_b_001 menpen_201_a_001 menpen_201_b_002 menpen_202_a_003 menpen_202_b_002 menpen_203_a_002 menpen_204_a_005 menpen_205_a_001 menpen_206_a_002 menpen_206_b_003 menpen_207_a_002 menpen_209_a_002 menpen_210_b_002 menpen_211_a_003 menpen_211_b_002 menpen_212_a_001 menpen_212_b_003 menpen_213_a_002 menpen_214_b_001 menpen_215_a_002 menpen_216_a_002 menpen_217_a_008 menpen_217_b_002 menpen_218_a_002 menpen_218_b_002 menpen_219_a_002 menpen_219_b_002 menpen_220_a_010 menpen_221_a_002 menpen_222_a_004 menpen_222_b_002 menpen_223_a_002 menpen_223_b_002 menpen_224_b_003 menpen_225_a_001 menpen_225_b_003 menpen_226_a_002 menpen_226_b_003 menpen_227_a_002 menpen_228_a_003 menpen_228_b_002 menpen_230_a_002 menpen_231_a_012 menpen_232_a_002

Class #64: Menspp

Number of samples : 4
Classification Accuracy : 100% (4/4)
Most confused with : Mename
menspp_1979_a_001 menspp_1979_b_002 menspp_1980_a_002 menspp_1980_b_001

Class #65: Micund

Number of samples : 177
Classification Accuracy : 98.31% (174/177)
Most confused with : Leixan
micund_1158_a_001 micund_1158_b_001 micund_1159_a_001 micund_1159_b_002 micund_1160_a_002 micund_1160_b_001 micund_1161_a_002 micund_1161_b_001 micund_1162_a_002 micund_1162_b_001 micund_1163_a_002 micund_1163_b_001 micund_1164_a_002 micund_1164_b_002 micund_1165_a_002 micund_1165_b_001 micund_1166_a_001 micund_1166_b_002 micund_1167_a_001 micund_1167_b_001 micund_1168_a_001 micund_1168_b_001 micund_1169_a_001 micund_1169_b_001 micund_1170_a_001 micund_1170_b_001 micund_1171_a_001 micund_1171_b_001 micund_1172_b_001 micund_1173_a_002 micund_1173_b_001 micund_1174_a_001 micund_1174_b_002 micund_1175_a_001 micund_1175_b_002 micund_1176_a_001 micund_1176_b_001 micund_1177_a_001 micund_1177_b_002 micund_1178_a_001 micund_1178_b_001 micund_1179_a_001 micund_1179_b_001 micund_1180_a_001 micund_1180_b_001 micund_1181_a_001 micund_1181_b_001 micund_1182_a_001 micund_1182_b_001 micund_1183_a_001 micund_1183_b_001 micund_1184_a_001 micund_1184_b_001 micund_1185_a_001 micund_1185_b_001 micund_1186_a_001 micund_1186_b_002 micund_1187_a_001 micund_1187_b_002 micund_1188_a_002 micund_1188_b_002 micund_1189_a_002 micund_1189_b_001 micund_1190_a_001 micund_1190_b_002 micund_1191_a_002 micund_1191_b_001 micund_1192_a_002 micund_1192_b_001 micund_1193_a_002 micund_1193_b_001 micund_1194_a_001 micund_1194_b_001 micund_1195_a_002 micund_1195_b_001 micund_1196_a_001 micund_1196_b_001 micund_1197_a_002 micund_1197_b_001 micund_1198_a_002 micund_1198_b_001 micund_1199_a_002 micund_1199_b_001 micund_1200_a_001 micund_1200_b_001 micund_1201_a_001 micund_1201_b_001 micund_1202_a_001 micund_1202_b_001 micund_1203_a_001 micund_1203_b_002 micund_1204_a_001 micund_1204_b_002 micund_1205_a_001 micund_1205_b_001 micund_1206_a_001 micund_1206_b_001 micund_1207_a_001 micund_1207_b_001 micund_1208_a_001 micund_1208_b_001 micund_1209_a_001 micund_1209_b_001 micund_1210_a_001 micund_1210_b_001 micund_1211_a_001 micund_1211_b_001 micund_1212_a_002 micund_1212_b_001 micund_1213_a_001 micund_1213_b_002 micund_1214_a_001 micund_1214_b_002 micund_1215_a_001 micund_1215_b_002 micund_1216_a_001 micund_1216_b_002 micund_1217_a_001 micund_1217_b_002 micund_1218_a_001 micund_1218_b_002 micund_1219_a_001 micund_1219_b_001 micund_1220_a_001 micund_1220_b_002 micund_1221_a_001 micund_1221_b_001 micund_1222_a_001 micund_1222_b_002 micund_1223_a_001 micund_1223_b_001 micund_1255_a_001 micund_1255_b_001 micund_1598_a_002 micund_1598_b_001 micund_25_a_001 micund_25_b_001 micund_26_a_009 micund_26_b_001 micund_27_a_002 micund_27_b_002 micund_28_a_012 micund_28_b_003 micund_31_a_003 micund_31_b_002 micund_32_a_014 micund_32_b_002 micund_33_a_003 micund_33_b_001 micund_34_a_001 micund_34_b_001 micund_35_a_016 micund_35_b_003 micund_36_a_002 micund_36_b_002 micund_37_a_002 micund_37_b_002 micund_881_a_001 micund_881_b_002 micund_882_a_001 micund_882_b_002 micund_883_a_001 micund_883_b_001 micund_884_a_001 micund_884_b_002 micund_885_a_001 micund_885_b_002 micund_886_a_001 micund_886_b_001 micund_887_a_002 micund_887_b_001 micund_888_a_001 micund_888_b_002 micund_889_a_002 micund_889_b_002 micund_890_a_003 micund_890_b_002

Class #66: Mugcep

Number of samples : 87
Classification Accuracy : 98.85% (86/87)
Most confused with : Mugcur
mugcep_1099_a_002 mugcep_1099_b_002 mugcep_1100_a_002 mugcep_1100_b_002 mugcep_2306_a_001 mugcep_2306_b_002 mugcep_2403_a_001 mugcep_2403_b_002 mugcep_2404_a_001 mugcep_2404_b_002 mugcep_2405_b_002 mugcep_2406_a_001 mugcep_2406_b_002 mugcep_2407_a_001 mugcep_2407_b_002 mugcep_2408_a_001 mugcep_2408_b_002 mugcep_2409_a_001 mugcep_2409_b_002 mugcep_2410_a_001 mugcep_2410_b_002 mugcep_2411_a_001 mugcep_2411_b_002 mugcep_2412_a_001 mugcep_2412_b_002 mugcep_2413_a_001 mugcep_2413_b_002 mugcep_2414_a_001 mugcep_2414_b_002 mugcep_2415_a_001 mugcep_2415_b_002 mugcep_2416_a_001 mugcep_2416_b_002 mugcep_2417_a_001 mugcep_2417_b_002 mugcep_2418_a_001 mugcep_2418_b_002 mugcep_2419_a_001 mugcep_2419_b_002 mugcep_2420_a_001 mugcep_2420_b_002 mugcep_2421_a_001 mugcep_2421_b_002 mugcep_2422_a_001 mugcep_2422_b_001 mugcep_2423_a_001 mugcep_2423_b_001 mugcep_2424_a_001 mugcep_2424_b_001 mugcep_2425_a_001 mugcep_2425_b_001 mugcep_2426_a_001 mugcep_2426_b_001 mugcep_2427_a_001 mugcep_2427_b_001 mugcep_2428_a_001 mugcep_2428_b_001 mugcep_2429_a_001 mugcep_2429_b_001 mugcep_2430_a_001 mugcep_2430_b_001 mugcep_2431_a_001 mugcep_2431_b_001 mugcep_337_a_001 mugcep_337_b_001 mugcep_338_a_001 mugcep_338_b_002 mugcep_339_a_065 mugcep_339_b_002 mugcep_340_a_067 mugcep_340_b_003 mugcep_341_a_002 mugcep_341_b_002 mugcep_342_a_070 mugcep_342_b_002 mugcep_343_a_003 mugcep_343_b_002 mugcep_641_a_002 mugcep_641_b_001 mugcep_642_a_002 mugcep_642_b_002 mugcep_643_a_002 mugcep_644_a_002 mugcep_644_b_002 mugcep_928_a_001 mugcep_929_a_001 mugcep_929_b_002

Class #67: Mugcur

Number of samples : 77
Classification Accuracy : 97.4% (75/77)
Most confused with : Mugcep
mugcur_1767_a_001 mugcur_1767_b_002 mugcur_1768_a_001 mugcur_1768_b_002 mugcur_2455_a_001 mugcur_2455_b_002 mugcur_451_a_040 mugcur_451_b_002 mugcur_452_a_041 mugcur_452_b_002 mugcur_453_a_042 mugcur_453_b_003 mugcur_454_a_043 mugcur_454_b_002 mugcur_455_a_044 mugcur_455_b_002 mugcur_456_a_045 mugcur_456_b_002 mugcur_457_a_046 mugcur_457_b_002 mugcur_458_a_047 mugcur_458_b_002 mugcur_459_a_048 mugcur_460_a_049 mugcur_460_b_002 mugcur_461_a_050 mugcur_461_b_001 mugcur_462_a_051 mugcur_462_b_002 mugcur_463_a_052 mugcur_463_b_002 mugcur_464_a_053 mugcur_464_b_002 mugcur_465_a_054 mugcur_465_b_003 mugcur_466_a_055 mugcur_466_b_002 mugcur_467_b_002 mugcur_468_a_057 mugcur_468_b_002 mugcur_469_a_058 mugcur_469_b_002 mugcur_470_a_059 mugcur_471_a_060 mugcur_471_b_001 mugcur_472_a_061 mugcur_472_b_003 mugcur_473_a_062 mugcur_473_b_001 mugcur_474_a_063 mugcur_474_b_002 mugcur_475_a_064 mugcur_475_b_002 mugcur_476_a_065 mugcur_476_b_002 mugcur_477_a_066 mugcur_477_b_002 mugcur_478_a_067 mugcur_478_b_002 mugcur_479_a_068 mugcur_479_b_004 mugcur_480_a_069 mugcur_480_b_002 mugcur_658_a_014 mugcur_659_a_015 mugcur_660_a_016 mugcur_661_a_017 mugcur_662_a_018 mugcur_663_a_019 mugcur_664_a_020 mugcur_665_a_021 mugcur_666_a_022 mugcur_667_a_023 mugcur_668_a_024 mugcur_669_a_025 mugcur_670_a_026 mugcur_671_a_027

Class #68: Mugspp

Number of samples : 38
Classification Accuracy : 97.37% (37/38)
Most confused with : Mugcep, Lagrho
mugspp_2541_a_001 mugspp_2541_b_002 mugspp_2542_a_001 mugspp_2542_b_002 mugspp_2543_a_001 mugspp_2543_b_002 mugspp_2544_a_001 mugspp_2544_b_002 mugspp_2545_a_001 mugspp_2546_a_001 mugspp_2546_b_002 mugspp_2547_a_001 mugspp_2547_b_002 mugspp_2548_a_001 mugspp_2548_b_002 mugspp_2549_a_001 mugspp_2549_b_002 mugspp_2550_a_001 mugspp_2550_b_002 mugspp_2551_a_001 mugspp_2551_b_002 mugspp_2552_a_001 mugspp_2553_b_001 mugspp_2554_a_002 mugspp_2554_b_001 mugspp_2555_a_001 mugspp_2555_b_002 mugspp_2556_a_001 mugspp_2556_b_002 mugspp_2557_a_001 mugspp_2557_b_002 mugspp_2558_a_001 mugspp_2558_b_002 mugspp_2559_a_001 mugspp_2559_b_002 mugspp_2560_a_001 mugspp_2561_a_002 mugspp_2561_b_001

Class #69: Mycmic

Number of samples : 10
Classification Accuracy : 100% (10/10)
Most confused with : Lutgri
mycmic_1877_a_001 mycmic_1877_b_001 mycmic_2026_a_001 mycmic_2026_b_001 mycmic_2044_b_001 mycmic_2052_a_001 mycmic_2052_b_001 mycmic_2053_a_001 mycmic_2442_a_001 mycmic_2442_b_001

Class #70: Myrpun

Number of samples : 7
Classification Accuracy : 100% (7/7)
Most confused with : Lagrho, Sympla
myrpun_1807_a_001 myrpun_1807_b_002 myrpun_2366_a_001 myrpun_2367_a_001 myrpun_2367_b_002 myrpun_2368_a_001 myrpun_2368_b_002

Class #71: Nicust

Number of samples : 13
Classification Accuracy : 84.62% (11/13)
Most confused with : Chlchr
nicust_2038_a_001 nicust_2038_b_002 nicust_2039_a_001 nicust_2040_a_002 nicust_2040_b_001 nicust_2041_a_002 nicust_2045_a_001 nicust_2046_a_001 nicust_2046_b_002 nicust_2047_a_001 nicust_2047_b_001 nicust_2070_a_001 nicust_2070_b_004

Class #72: Olisau

Number of samples : 6
Classification Accuracy : 16.67% (1/6)
Most confused with : Mugspp
olisau_1156_a_001 olisau_1311_a_001 olisau_1311_b_001 olisau_1975_a_001 olisau_1975_b_003 olisau_1976_a_001

Class #73: Opiogl

Number of samples : 4
Classification Accuracy : 25% (1/4)
Most confused with : Dorpet
opiogl_1860_a_001 opiogl_1860_b_002 opiogl_1861_a_001 opiogl_1878_a_001

Class #74: Opsbet

Number of samples : 8
Classification Accuracy : 100% (8/8)
Most confused with : Mugspp, Mugcep
opsbet_2319_a_015 opsbet_2319_b_017 opsbet_2320_a_017 opsbet_2320_b_019 opsbet_2321_a_019 opsbet_2321_b_021 opsbet_2322_a_021 opsbet_2322_b_023

Class #75: Ortchr

Number of samples : 2
Classification Accuracy : 0% (0/2)
Most confused with : Lutsyn, Lutcam
ortchr_2466_a_001 ortchr_2466_b_001

Class #76: Paralb

Number of samples : 36
Classification Accuracy : 86.11% (31/36)
Most confused with : Lagrho
paralb_1299_a_002 paralb_1299_b_003 paralb_1312_a_002 paralb_1313_a_001 paralb_1313_b_002 paralb_1314_a_001 paralb_1314_b_002 paralb_1987_a_001 paralb_1987_b_001 paralb_1988_a_001 paralb_1991_a_001 paralb_2010_a_001 paralb_2010_b_001 paralb_2072_a_001 paralb_2073_a_001 paralb_2074_a_001 paralb_2076_a_002 paralb_2077_a_001 paralb_2077_b_002 paralb_2221_a_001 paralb_2221_b_001 paralb_2222_a_001 paralb_2308_a_001 paralb_2308_b_001 paralb_2309_a_001 paralb_2310_b_001 paralb_2311_a_001 paralb_2311_b_002 paralb_2312_a_001 paralb_2312_b_002 paralb_2444_a_001 paralb_2444_b_001 paralb_2445_a_001 paralb_2445_b_001 paralb_795_a_001 paralb_795_b_003

Class #77: Parlet

Number of samples : 7
Classification Accuracy : 42.86% (3/7)
Most confused with : Paralb
parlet_1305_a_001 parlet_1305_b_002 parlet_1306_a_001 parlet_2084_a_001 parlet_2084_b_001 parlet_2085_a_001 parlet_2085_b_001

Class #78: Pepbur

Number of samples : 12
Classification Accuracy : 83.33% (10/12)
Most confused with : Chlchr, Selvom, Eucspp, Synfoe
pepbur_1850_a_001 pepbur_1850_b_001 pepbur_995_a_002 pepbur_995_b_003 pepbur_996_a_002 pepbur_996_b_002 pepbur_997_a_001 pepbur_997_b_002 pepbur_998_a_001 pepbur_998_b_003 pepbur_999_a_001 pepbur_999_b_003

Class #79: Peppar

Number of samples : 36
Classification Accuracy : 97.22% (35/36)
Most confused with : Eucspp, Lutcam
peppar_1248_a_002 peppar_1248_b_001 peppar_1249_a_002 peppar_1249_b_001 peppar_1250_a_002 peppar_1250_b_001 peppar_1251_a_002 peppar_1251_b_001 peppar_1269_a_001 peppar_1269_b_002 peppar_1270_a_002 peppar_1270_b_002 peppar_1430_a_002 peppar_1430_b_001 peppar_1431_a_001 peppar_1431_b_002 peppar_1432_a_002 peppar_1432_b_002 peppar_1433_a_002 peppar_1433_b_004 peppar_1434_a_001 peppar_1434_b_002 peppar_1435_a_001 peppar_1435_b_002 peppar_1436_a_001 peppar_1436_b_002 peppar_1437_a_001 peppar_1437_b_002 peppar_1438_a_001 peppar_1438_b_002 peppar_1439_a_001 peppar_1439_b_001 peppar_1701_a_001 peppar_1701_b_001 peppar_1702_a_001 peppar_1702_b_001

Class #80: Poelat

Number of samples : 39
Classification Accuracy : 97.44% (38/39)
Most confused with : Fungra, Cypvar
poelat_2238_a_001 poelat_2238_b_002 poelat_2239_a_001 poelat_2239_b_001 poelat_2240_a_001 poelat_2240_b_004 poelat_2241_a_001 poelat_2241_b_002 poelat_2242_a_001 poelat_2242_b_002 poelat_2244_a_001 poelat_2244_b_002 poelat_2245_a_001 poelat_2245_b_002 poelat_2246_a_001 poelat_2246_b_002 poelat_2247_a_001 poelat_2247_b_002 poelat_2248_a_001 poelat_2248_b_002 poelat_2249_a_001 poelat_2249_b_002 poelat_2250_a_001 poelat_2250_b_002 poelat_2251_a_001 poelat_2251_b_002 poelat_2252_a_001 poelat_2252_b_002 poelat_2253_a_001 poelat_2254_a_004 poelat_2255_a_001 poelat_2255_b_002 poelat_764_l_003 poelat_765_l_002 poelat_765_r_004 poelat_766_l_004 poelat_766_r_005 poelat_767_l_002 poelat_767_r_001

Class #81: Pogcro

Number of samples : 4
Classification Accuracy : 100% (4/4)
Most confused with : Bagmar, Scioce
pogcro_1707_a_001 pogcro_1707_a_002 pogcro_2439_a_001 pogcro_2439_b_001

Class #82: Pomsal

Number of samples : 4
Classification Accuracy : 50% (2/4)
Most confused with : Chlchr, Mugcur
pomsal_317_a_030 pomsal_317_b_003 pomsal_762_l_002 pomsal_762_r_003

Class #83: Priros

Number of samples : 7
Classification Accuracy : 100% (7/7)
Most confused with : Lutcam
priros_1800_a_001 priros_1800_b__002 priros_1838_a_001 priros_1839_a_001 priros_1839_b_001 priros_2198_a_001 priros_2198_b_001

Class #84: Pritri

Number of samples : 11
Classification Accuracy : 45.45% (5/11)
Most confused with : Eucspp, Mename
pritri_2374_a_001 pritri_2399_a_001 pritri_2399_b_002 pritri_2436_a_001 pritri_2436_b_002 pritri_2467_a_001 pritri_2467_b_002 pritri_756_l_002 pritri_756_r_002 pritri_757_l_002 pritri_757_r_003

Class #85: Raccan

Number of samples : 2
Classification Accuracy : 50% (1/2)
Most confused with : Chlchr, Lutgri, Lutsyn, Mugcur
raccan_2165_a_028 raccan_2166_a_030

Class #86: Scaridae

Number of samples : 5
Classification Accuracy : 80% (4/5)
Most confused with : Lagrho
scaridae_2336_a_001 scaridae_2336_b_003 scaridae_2398_a_001 scaridae_2398_b_002 scaridae_2446_a_001

Class #87: Scioce

Number of samples : 110
Classification Accuracy : 98.18% (108/110)
Most confused with : Lutcam, Cynare
scioce_1711_a_001 scioce_1711_b_001 scioce_1989_a_001 scioce_1989_b_001 scioce_1990_a_001 scioce_1990_b_001 scioce_2068_a_001 scioce_2068_b_001 scioce_2223_a_001 scioce_2223_b_001 scioce_2325_a_031 scioce_2325_b_031 scioce_2440_a_001 scioce_2440_b_002 scioce_2441_a_001 scioce_2443_a_001 scioce_2443_b_001 scioce_2474_a_002 scioce_2474_b_002 scioce_2475_a_001 scioce_2475_b_001 scioce_2476_a_001 scioce_2476_b_002 scioce_2477_a_002 scioce_2477_b_002 scioce_2478_b_001 scioce_2479_a_001 scioce_2479_b_002 scioce_2480_a_001 scioce_2480_b_002 scioce_2481_a_001 scioce_2481_b_001 scioce_2482_a_002 scioce_2482_b_001 scioce_2483_a_002 scioce_2483_b_002 scioce_2484_a_002 scioce_2484_b_001 scioce_2485_a_002 scioce_2485_b_001 scioce_2486_a_002 scioce_2486_b_001 scioce_2487_a_002 scioce_2487_b_001 scioce_2488_a_001 scioce_2488_b_004 scioce_2489_a_001 scioce_2489_b_002 scioce_2490_a_001 scioce_2490_b_002 scioce_2491_a_001 scioce_2491_b_002 scioce_2492_a_001 scioce_2492_b_002 scioce_2493_a_001 scioce_2493_b_002 scioce_2494_a_001 scioce_2494_b_002 scioce_2495_a_001 scioce_2495_b_001 scioce_2496_a_002 scioce_2496_b_002 scioce_2497_a_001 scioce_2497_b_002 scioce_2498_a_002 scioce_2498_b_002 scioce_2499_a_001 scioce_2499_b_002 scioce_2500_a_002 scioce_2500_b_001 scioce_2501_a_001 scioce_2501_b_002 scioce_2502_a_001 scioce_2502_b_002 scioce_2503_a_001 scioce_2503_b_002 scioce_2504_a_001 scioce_2504_b_002 scioce_2505_a_001 scioce_2505_b_002 scioce_2506_a_001 scioce_2506_b_002 scioce_2507_a_001 scioce_2507_b_002 scioce_2508_a_001 scioce_2508_b_002 scioce_2509_a_001 scioce_2509_b_002 scioce_2510_a_001 scioce_2510_b_002 scioce_2511_a_001 scioce_2511_b_002 scioce_2512_a_001 scioce_2512_b_002 scioce_854_a_002 scioce_854_b_002 scioce_855_a_002 scioce_855_b_001 scioce_856_a_001 scioce_856_b_002 scioce_857_a_002 scioce_857_b_001 scioce_968_a_002 scioce_968_b_002 scioce_969_a_001 scioce_969_b_002 scioce_970_a_001 scioce_970_b_001 scioce_971_a_002 scioce_971_b_002

Class #88: Selvom

Number of samples : 36
Classification Accuracy : 86.11% (31/36)
Most confused with : Menber, Eucspp
selvom_1247_a_002 selvom_1426_a_002 selvom_1426_b_002 selvom_1427_a_002 selvom_1538_a_001 selvom_1538_b_001 selvom_1539_a_001 selvom_1539_b_001 selvom_1540_a_002 selvom_1540_b_001 selvom_1541_a_002 selvom_1541_b_002 selvom_1542_a_002 selvom_1542_b_001 selvom_1543_a_001 selvom_1543_b_002 selvom_1544_a_001 selvom_1544_b_002 selvom_1545_a_001 selvom_1545_b_002 selvom_1546_a_001 selvom_1546_b_002 selvom_1547_a_001 selvom_1547_b_002 selvom_1703_a_002 selvom_1703_b_001 selvom_1704_a_001 selvom_1704_b_002 selvom_1705_a_001 selvom_1845_a_002 selvom_1845_b_001 selvom_1856_a_001 selvom_1856_b_002 selvom_324_a_041 selvom_324_b_001 selvom_976_a_001

Class #89: Sparad

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Mugcur, Menber, Eucgul, Menpen, Eucspp, Tracar, Trilep
sparad_2155_a_014 sparad_2155_b_016

Class #90: Sparub

Number of samples : 4
Classification Accuracy : 50% (2/4)
Most confused with : Lutgri
sparub_2027_a_002 sparub_2027_b_001 sparub_2162_a_026 sparub_2162_b_028

Class #91: Sphbar

Number of samples : 2
Classification Accuracy : 50% (1/2)
Most confused with : Synfoe
sphbar_932_a_001 sphbar_932_b_002

Class #92: Sphgua

Number of samples : 10
Classification Accuracy : 100% (10/10)
Most confused with : Chlchr, Cenphi
sphgua_1262_a_002 sphgua_1262_b_002 sphgua_1263_a_002 sphgua_1263_b_002 sphgua_1264_a_001 sphgua_1264_b_003 sphgua_1835_a_001 sphgua_1835_b_001 sphgua_1836_a_001 sphgua_1836_b_001

Class #93: Sphpar

Number of samples : 57
Classification Accuracy : 96.49% (55/57)
Most confused with : Ctebol
sphpar_1647_a_001 sphpar_1647_b_001 sphpar_1648_a_001 sphpar_1648_b_001 sphpar_1649_a_001 sphpar_1649_b_001 sphpar_1650_a_001 sphpar_1650_a_002 sphpar_1651_a_001 sphpar_1652_a_001 sphpar_1652_b_001 sphpar_1653_a_001 sphpar_1653_b_001 sphpar_1655_a_001 sphpar_1655_b_001 sphpar_1656_a_001 sphpar_1656_b_001 sphpar_1657_a_001 sphpar_1658_a_001 sphpar_1658_b_001 sphpar_1660_a_001 sphpar_1776_a_001 sphpar_1776_b_002 sphpar_1777_a_001 sphpar_1778_a_001 sphpar_1778_a_004 sphpar_1779_a_001 sphpar_1779_b_001 sphpar_1780_a_002 sphpar_1781_a_001 sphpar_1781_b_001 sphpar_1782_a_002 sphpar_1782_b_001 sphpar_1783_a_002 sphpar_1783_b_002 sphpar_1784_a_002 sphpar_1784_b_001 sphpar_1785_a_002 sphpar_1785_b_001 sphpar_1786_a_001 sphpar_1786_b_002 sphpar_1792_a_002 sphpar_1792_b_001 sphpar_1793_a_001 sphpar_1793_b_002 sphpar_1794_a_001 sphpar_1794_b_002 sphpar_1795_a_001 sphpar_1795_b_002 sphpar_1796_a_001 sphpar_1796_b_002 sphpar_1797_a_001 sphpar_1797_b_002 sphpar_234_a_014 sphpar_236_a_015 sphpar_239_a_017 sphpar_241_a_020

Class #94: Stecap

Number of samples : 114
Classification Accuracy : 98.25% (112/114)
Most confused with : Lutsyn, Lagrho, Memmar
stecap_1548_a_002 stecap_1548_b_001 stecap_1549_a_001 stecap_1549_b_002 stecap_1550_a_003 stecap_1550_b_001 stecap_1551_a_002 stecap_1551_b_001 stecap_1552_a_001 stecap_1552_b_002 stecap_1553_a_001 stecap_1553_b_002 stecap_1554_a_001 stecap_1554_b_002 stecap_1555_a_001 stecap_1555_b_002 stecap_1556_a_001 stecap_1556_b_002 stecap_1557_a_001 stecap_1557_b_002 stecap_1558_a_001 stecap_1558_b_002 stecap_1559_a_001 stecap_1559_b_002 stecap_1560_a_001 stecap_1560_b_002 stecap_1561_a_001 stecap_1561_b_002 stecap_1562_a_001 stecap_1562_b_002 stecap_1563_a_001 stecap_1563_b_002 stecap_1564_a_001 stecap_1565_a_002 stecap_1565_b_001 stecap_1566_a_002 stecap_1566_b_001 stecap_1567_a_002 stecap_1567_b_001 stecap_1568_a_002 stecap_1568_b_001 stecap_1569_a_002 stecap_1569_b_001 stecap_1570_a_001 stecap_1570_b_002 stecap_1571_a_001 stecap_1571_b_002 stecap_1572_a_001 stecap_1572_b_002 stecap_1573_a_001 stecap_1573_b_002 stecap_1574_a_001 stecap_1574_b_002 stecap_1575_a_001 stecap_1575_b_002 stecap_1576_a_001 stecap_1576_b_002 stecap_1577_a_001 stecap_1577_b_002 stecap_1578_a_001 stecap_1578_b_002 stecap_1579_a_001 stecap_1579_b_002 stecap_1580_a_001 stecap_1580_b_002 stecap_1581_a_001 stecap_1581_b_002 stecap_1582_a_001 stecap_1582_b_002 stecap_1583_a_001 stecap_1583_b_002 stecap_1584_a_001 stecap_1584_b_002 stecap_1585_a_001 stecap_1586_a_001 stecap_1586_b_002 stecap_1587_a_002 stecap_1587_b_002 stecap_1588_a_001 stecap_1588_b_002 stecap_1589_a_001 stecap_1589_b_002 stecap_1590_a_001 stecap_1590_b_002 stecap_1591_a_002 stecap_1591_b_002 stecap_1592_a_001 stecap_1592_b_002 stecap_1593_a_001 stecap_1593_b_002 stecap_1594_a_001 stecap_1594_b_002 stecap_1595_a_001 stecap_1595_b_002 stecap_1867_a_001 stecap_1867_b_001 stecap_1868_a_001 stecap_1868_b_001 stecap_1869_a_002 stecap_1869_b_001 stecap_1870_a_001 stecap_1870_b_001 stecap_1871_a_001 stecap_1871_b_001 stecap_1872_a_001 stecap_1872_b_001 stecap_1873_a_001 stecap_1873_b_001 stecap_1874_a_001 stecap_1874_b_001 stecap_1875_a_001 stecap_1875_b_001 stecap_1876_a_001 stecap_1876_b_001

Class #95: Stelan

Number of samples : 22
Classification Accuracy : 100% (22/22)
Most confused with : Erosma, Menber
stelan_1080_a_001 stelan_1080_b_001 stelan_1303_a_001 stelan_1303_b_002 stelan_1304_a_002 stelan_1304_b_001 stelan_1596_a_002 stelan_1596_b_001 stelan_1886_a_001 stelan_1886_b_001 stelan_1887_a_001 stelan_1887_b_001 stelan_1888_a_001 stelan_1888_b_001 stelan_1889_a_001 stelan_1889_b_001 stelan_2205_a_001 stelan_2205_b_001 stelan_2456_a_001 stelan_2456_b_002 stelan_330_a_002 stelan_330_b_002

Class #96: Stelan2

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Peppar, Leixan, Priros
stelan2_331_c_053ast stelan2_331_d_002

Class #97: Strtim

Number of samples : 2
Classification Accuracy : 100% (2/2)
Most confused with : Lutsyn, Lagrho, Lutgri, Censtr, Cynneb, Paralb, Scioce
strtim_1394_a_002 strtim_1394_b_001

Class #98: Sygspp

Number of samples : 1
Classification Accuracy : 0% (0/1)
Most confused with : Cynare, Cynneb, Ancmit, Dipfor, Gamhol, Menber, Mugcep
sygspp_2030_a_001

Class #99: Sympla

Number of samples : 65
Classification Accuracy : 96.92% (63/65)
Most confused with : Ctebol
sympla_2369_a_003 sympla_2369_b_002 sympla_2370_a_001 sympla_2370_b_002 sympla_2371_a_001 sympla_2372_a_002 sympla_2372_b_001 sympla_2373_a_001 sympla_2373_b_003 sympla_2394_a_001 sympla_2394_b_002 sympla_2395_a_001 sympla_2395_b_002 sympla_2396_a_001 sympla_2397_a_001 sympla_2397_b_004 sympla_2437_a_001 sympla_2437_b_001 sympla_2452_a_001 sympla_2452_b_002 sympla_2453_a_001 sympla_2454_a_001 sympla_2470_a_002 sympla_2470_b_001 sympla_251_a_024 sympla_252_a_001 sympla_253_a_001 sympla_254_b_001 sympla_255_a_029 sympla_257_a_002 sympla_257_b_001 sympla_258_a_002 sympla_259_a_001 sympla_260_a_026 sympla_260_b_001 sympla_261_a_003 sympla_261_b_001 sympla_262_a_002 sympla_263_b_001 sympla_264_a_003 sympla_264_b_002 sympla_265_a_027 sympla_265_b_003 sympla_266_a_002 sympla_266_b_002 sympla_267_a_001 sympla_267_b_003 sympla_268_a_001 sympla_269_a_002 sympla_269_b_002 sympla_270_a_003 sympla_270_b_001 sympla_271_a_003 sympla_271_b_002 sympla_272_a_002 sympla_272_b_002 sympla_307_a_001 sympla_307_b_001 sympla_308_a_001 sympla_308_b_001 sympla_309_a_004 sympla_309_b_001 sympla_310_a_001 sympla_311_a_001 sympla_311_b_002

Class #100: Synfoe

Number of samples : 73
Classification Accuracy : 97.26% (71/73)
Most confused with : Lutgri, Mugcep
synfoe_1462_a_001 synfoe_1462_b_002 synfoe_1463_a_001 synfoe_1463_b_002 synfoe_1464_a_001 synfoe_1464_b_002 synfoe_1465_a_001 synfoe_1466_a_001 synfoe_1467_a_001 synfoe_1467_b_002 synfoe_1468_a_001 synfoe_1468_b_002 synfoe_1469_a_002 synfoe_1469_b_001 synfoe_1470_a_002 synfoe_1471_a_001 synfoe_1472_a_001 synfoe_1472_b_002 synfoe_1473_a_001 synfoe_1473_b_002 synfoe_1474_a_001 synfoe_1474_b_002 synfoe_1475_a_001 synfoe_1475_b_002 synfoe_1476_a_001 synfoe_1476_b_002 synfoe_1477_a_001 synfoe_1477_b_002 synfoe_1478_a_001 synfoe_1478_b_002 synfoe_1479_a_001 synfoe_1661_a_001 synfoe_1661_b_001 synfoe_1662_a_002 synfoe_1662_b_001 synfoe_1663_a_002 synfoe_1663_b_001 synfoe_1664_a_001 synfoe_1664_b_002 synfoe_1665_a_001 synfoe_1665_b_002 synfoe_1666_a_001 synfoe_1666_b_002 synfoe_1667_a_001 synfoe_1667_b_002 synfoe_1668_a_001 synfoe_1668_b_002 synfoe_1802_a_002 synfoe_1802_b_001 synfoe_1837_a_001 synfoe_1837_b_002 synfoe_1855_a_001 synfoe_1855_b_002 synfoe_1879_a_002 synfoe_1879_b_001 synfoe_2094_a_001 synfoe_2094_b_001 synfoe_2095_a_001 synfoe_2096_a_001 synfoe_2096_b_001 synfoe_2097_a_001 synfoe_2097_b_001 synfoe_2098_a_001 synfoe_2098_b_001 synfoe_2195_a_001 synfoe_2195_b_001 synfoe_323_a_039 synfoe_323_b_001 synfoe_798_a_002 synfoe_798_b_002 synfoe_851_a_001 synfoe_934_a_001 synfoe_934_b_002

Class #101: Synlou

Number of samples : 1
Classification Accuracy : 0% (0/1)
Most confused with : Chlchr, Anchep, Arcpro, Lagrho, Memmar, Menber, Synfoe
synlou_2361_a_001

Class #102: Tracar

Number of samples : 16
Classification Accuracy : 75% (12/16)
Most confused with : Chlchr
tracar_1077_a_001 tracar_1077_b_001 tracar_1078_a_001 tracar_1078_b_001 tracar_1079_a_001 tracar_1307_b_002 tracar_1308_a_003 tracar_1982_a_001 tracar_1982_b_002 tracar_1983_a_001 tracar_1985_a_001 tracar_2006_a_002 tracar_2007_a_001 tracar_2008_a_001 tracar_2009_a_001 tracar_2401_a_001

Class #103: Trilep

Number of samples : 4
Classification Accuracy : 100% (4/4)
Most confused with : Tracar, Synfoe
trilep_972_a_005 trilep_972_b_002 trilep_973_a_002 trilep_973_b_002

Class #104: Trimac

Number of samples : 5
Classification Accuracy : 40% (2/5)
Most confused with : Menber
trimac_1803_a_001 trimac_1803_b_002 trimac_1804_a_001 trimac_1804_b_001 trimac_2457_a_001 trimac_2457_b_002

Intra-Class Statistics

This section presents embedding statistics on all possible image pairs (excluding identities) for each class.
(Beware: This does not include ICP steps).

Achlin Adixen Anchep Anclyo Ancmit Ancomm Arcpro Arifel Bagmar Baichr Baichr2 Batsop Brepat Carcry Carhip2 Cenphi Censtr Chafab Chasab Chisch Chlchr Citmac Citspi Citspp Cryros Ctebol Cynare Cynneb Cypvar Dipfor Dormac Dorpet Erosma Eucarg Eucgul Euchar Eucmel Eucspp Evolyr Fun Fungra Funmaj Funpul Funsim Gamhol Gerreidae Gobbos Goboce Gobstr Harjag Hypmee Lagrho Larfas Leixan Lucpar Lutcam Lutgri Lutsyn Memmar Mename Menber Menlit Menpen Menspp Micund Mugcep Mugcur Mugspp Mycmic Myrpun Nicust Olisau Opiogl Opsbet Ortchr Paralb Parlet Pepbur Peppar Poelat Pogcro Pomsal Priros Pritri Raccan Scaridae Scioce Selvom Sparad Sparub Sphbar Sphgua Sphpar Stecap Stelan Stelan2 Strtim Sympla Synfoe Tracar Trilep Trimac