Table 2. Model performance using BBFID-1, BBFID-2 and BBFID in EfficientNetV2s architecture.
Learning rate starts from 1e−4 and the epoch is limited to less than 51. Test accuracy/Test loss means the accuracy / loss of the saved model.
| Order | MODE | Dataset | Scale | >x images each taxon | Number of categories | Learning rate in the end | Epochs | Max. training accuracy | Min. training loss | Max. validation accuracy | Min. validation loss | Last epoch test accuracy | Last epoch test loss | Test accuracy | Test loss |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13 | Genus | BBFID-1 | C | 10 | 156 | 1.25E−05 | 49 | 0.9972 | 0.0080 | 0.5990 | 1.8758 | 0.5848 | 1.9234 | 0.5834 | 1.9320 |
| 14 | Genus | BBFID-1 | B | 50 | 34 | 1.25E−05 | 34 | 0.9939 | 0.0281 | 0.7185 | 1.1308 | 0.6916 | 1.1420 | 0.7173 | 1.1142 |
| 15 | Genus | BBFID-1 | A | 100 | 13 | 5.00E−05 | 29 | 0.9866 | 0.0446 | 0.8090 | 0.6661 | 0.8256 | 0.6719 | 0.8210 | 0.6650 |
| 16 | Genus | BBFID-2 | C | 10 | 223 | 1.00E−04 | 22 | 0.9908 | 0.0848 | 0.5320 | 2.1067 | 0.4919 | 2.2493 | 0.5004 | 2.2021 |
| 17 | Genus | BBFID-2 | B | 50 | 32 | 5.00E−05 | 21 | 0.9929 | 0.0483 | 0.7370 | 0.9765 | 0.7170 | 1.0273 | 0.7135 | 1.0625 |
| 18 | Genus | BBFID-2 | A | 100 | 9 | 5.00E−05 | 25 | 0.9878 | 0.0486 | 0.8636 | 0.5007 | 0.8259 | 0.5409 | 0.8543 | 0.4904 |
| 19 | Genus | BBFID | C | 10 | 379 | 2.50E−05 | 35 | 0.9974 | 0.0134 | 0.5567 | 2.0772 | 0.5353 | 2.2279 | 0.5371 | 2.2333 |
| 20 | Genus | BBFID | B | 50 | 66 | 2.50E−05 | 27 | 0.9933 | 0.0299 | 0.7335 | 1.1080 | 0.7192 | 1.1866 | 0.7066 | 1.2000 |
| 21 | Genus | BBFID | / | 60 | 47 | 1.25E−05 | 34 | 0.9961 | 0.0177 | 0.7538 | 1.0721 | 0.7742 | 0.8506 | 0.7626 | 0.8921 |
| 22 | Genus | BBFID | A | 100 | 22 | 5.00E−05 | 26 | 0.9907 | 0.0335 | 0.8261 | 0.6590 | 0.8190 | 0.6615 | 0.8145 | 0.6759 |
| 23 | Species | BBFID-1 | E | 6 | 241 | 5.00E−05 | 31 | 0.9949 | 0.0345 | 0.6117 | 1.8168 | 0.5971 | 1.9054 | 0.6080 | 1.9233 |
| 24 | Species | BBFID-1 | D | 8 | 179 | 1.00E−04 | 28 | 0.9938 | 0.0645 | 0.6251 | 1.6484 | 0.5810 | 1.8759 | 0.6299 | 1.6987 |
| 25 | Species | BBFID-1 | C | 10 | 148 | 2.50E−05 | 32 | 0.9975 | 0.0289 | 0.6629 | 1.4035 | 0.6642 | 1.4147 | 0.6790 | 1.4161 |
| 26 | Species | BBFID-1 | B | 50 | 8 | 5.00E−05 | 27 | 0.9871 | 0.0789 | 0.7460 | 0.7560 | 0.7984 | 0.7489 | 0.8140 | 0.6747 |
| 27 | Species | BBFID-2 | E | 6 | 396 | 1.00E−04 | 23 | 0.9950 | 0.0726 | 0.5128 | 2.3015 | 0.4677 | 2.5728 | 0.4813 | 2.5160 |
| 28 | Species | BBFID-2 | D | 8 | 265 | 1.00E−04 | 28 | 0.9983 | 0.0492 | 0.5590 | 1.9957 | 0.5411 | 2.0768 | 0.5349 | 2.1075 |
| 29 | Species | BBFID-2 | C | 10 | 195 | 1.00E−04 | 25 | 0.9969 | 0.0647 | 0.6162 | 1.6714 | 0.5540 | 1.9768 | 0.5791 | 1.8711 |
| 30 | Species | BBFID-2 | B | 50 | 8 | 5.00E−05 | 24 | 0.9968 | 0.0472 | 0.9494 | 0.1308 | 0.9615 | 0.1806 | 0.9519 | 0.1610 |
| 31 | Species | BBFID | / | 2 | 1436 | 5.00E−05 | 41 | 0.9956 | 0.0271 | 0.4975 | 2.4540 | 0.4274 | 2.8980 | 0.4330 | 2.9233 |
| 32 | Species | BBFID | / | 4 | 914 | 1.00E−04 | 28 | 0.9920 | 0.0758 | 0.4958 | 2.4228 | 0.4707 | 2.5650 | 0.4899 | 2.5005 |
| 33 | Species | BBFID | E | 6 | 637 | 1.00E−04 | 25 | 0.9934 | 0.0677 | 0.5521 | 2.0340 | 0.5067 | 2.3438 | 0.5142 | 2.2276 |
| 34 | Species | BBFID | D | 8 | 444 | 5.00E−05 | 26 | 0.9975 | 0.0291 | 0.6148 | 1.6785 | 0.5752 | 1.8458 | 0.5957 | 1.8470 |
| 35 | Species | BBFID | C | 10 | 343 | 2.50E−05 | 34 | 0.9991 | 0.0143 | 0.6472 | 1.5119 | 0.6476 | 1.4888 | 0.6397 | 1.5602 |
| 36 | Species | BBFID | B | 50 | 16 | 1.00E−04 | 23 | 0.9787 | 0.1037 | 0.8399 | 0.5760 | 0.8283 | 0.5472 | 0.8283 | 0.5487 |