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--- |
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license: apache-2.0 |
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library_name: timm |
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--- |
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# IdolSankaku EVA02-Large Tagger v1 |
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Supports ratings, characters and general tags. |
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Trained using https://github.com/SmilingWolf/JAX-CV. |
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TPUs used for training kindly provided by the [TRC program](https://sites.research.google/trc/about/). |
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## Dataset |
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Trained on a human annotated dataset of real world photos. |
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## Validation results |
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`v1.0: P=R: threshold = 0.4985, F1 = 0.6017` |
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## What's new |
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Model v1.0/Dataset v1: |
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First version of the dataset, tags updated on 2024-08-31. |
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`timm` compatible! Load it up and give it a spin using the canonical one-liner! |
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ONNX model is compatible with code developed for the v3 series of WD tagger models. |
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The batch dimension of the ONNX model is not fixed to 1 anymore. Now you can go crazy with batch inference. |
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Switched to Macro-F1 to measure model performance since it gives me a better gauge of overall training progress. |
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# Runtime deps |
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ONNX model requires `onnxruntime >= 1.17.0` |
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# Inference code examples |
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For timm: https://github.com/neggles/wdv3-timm |
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For ONNX: https://huggingface.co/spaces/SmilingWolf/wd-tagger |
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For JAX: https://github.com/SmilingWolf/wdv3-jax |
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## Final words |
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Subject to change and updates. |
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Downstream users are encouraged to use tagged releases rather than relying on the head of the repo. |
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## Thanks |
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Thanks to the whole DeepGHS team for data gathering and encouraging me to push the models much further than they had any reason to attempt to reach, much less succeed. |
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