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license: mit |
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Original repo: https://github.com/gifu-wildlife/MDetToolsForJCameraTraps |
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The model weights have been soptred here for easy integration with AddaxAI: https://addaxdatascience.com/addaxai/ |
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Gifu-wildlife cls model v0.2 (resnet50) for AddaxAI v6.14 |
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Filename (weight): gifu-wildlife_cls_resnet50_v0.2.1.pth |
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Changes from v0.1: |
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* Trained using data excluding “human” and “dog” due to insufficient data. As a result, the number of categories decreased from 15 to 13. |
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* Modified classify_datections.py to match changes in AddaxAI v6.14. |
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* Changed “rabbit” to “hare.” |
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* Carefully rewrote classes.csv. |
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Test results[2025-05-20]: |
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* Top1 Accuracy : 0.926069438457489 |
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* Top3 Accuracy : 0.9869807958602905 |
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* class wise acc | bear:0.816 | bird:0.571 | boar:0.941 | cat:0.200 | deer:0.971 | fox:0.607 | masked:0.519 | monkey:0.000 | mustelidae:0.600 | rabbit:0.235 | raccoondog:0.871 | serow:0.884 | squirrel:0.649 |
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