SmilingWolf
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Update README.md
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README.md
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Tags with less than 600 images were filtered out.
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## Validation results
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`P=R: threshold = 0.
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## What's new
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Model v1.0/Dataset v3:
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More training images, more and up-to-date tags (up to 2024-02-28).
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Now `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 v2 series of 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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## Final words
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Subject to change and updates.
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Tags with less than 600 images were filtered out.
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## Validation results
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`P=R: threshold = 0.2521, F1 = 0.4411`
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## What's new
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Model v1.0/Dataset v3:
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More training images, more and up-to-date tags (up to 2024-02-28).
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Now `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 v2 series of 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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## Final words
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Subject to change and updates.
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