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  # Camie Tagger v2
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- An advanced deep learning model for automatically tagging anime/manga illustrations with relevant tags across multiple categories, achieving **67.3% micro F1 score** (using the micro optimized threshold profile) and **50.6% macro F1 score** (using the macro optimized threshold preset) across **70,527 possible tags** on a test set of 20,116 samples. Now with Vision Transformer backbone and significantly improved performance.
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  ![Application Interface](images/app_screenshot.png)
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  # Camie Tagger v2
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+ An advanced deep learning model for automatically tagging anime/manga illustrations with relevant tags across multiple categories, achieving an amazing **67.3% micro F1 score** (using the micro optimized threshold profile) and **50.6% macro F1 score** (using the macro optimized threshold preset) across **70,527 possible tags** on a test set of 20,116 samples. Now with Vision Transformer backbone and significantly improved performance. This dataset is notoriously long-tailed and sparse.
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  ![Application Interface](images/app_screenshot.png)
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