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license: apache-2.0 |
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# WD 1.4 SwinV2 Tagger V2 |
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Supports ratings, characters and general tags. |
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Trained using https://github.com/SmilingWolf/SW-CV-ModelZoo. |
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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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Last image id: 5944504 |
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Trained on Danbooru images with IDs modulo 0000-0899. |
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Validated on images with IDs modulo 0950-0999. |
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Images with less than 10 general tags were filtered out. |
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Tags with less than 600 images were filtered out. |
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## Validation results |
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`v2.0: P=R: threshold = 0.3771, F1 = 0.6854` |
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## What's new |
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Model v2.1/Dataset v2: |
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Re-exported to work around an ONNXRuntime v1.17.1 bug. |
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Bumped the minimum ONNXRuntime version to `>= 1.17.0`. |
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Now `timm` compatible! Load it up and give it a spin using the canonical one-liner! |
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Exported to `msgpack` for compatibility with the [JAX-CV](https://github.com/SmilingWolf/JAX-CV) codebase. |
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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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No change to the trained weights themselves. There might be small prediction discrepancies across frameworks due to implementation details. |
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Model v2.0/Dataset v2: |
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Initial release. |
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# Runtime deps |
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ONNX model requires `onnxruntime >= 1.17.0` |
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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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