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README.md
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# FFDNet-
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FFDNet-S is the 6 million parameter object detector trained on the dataset from the paper [CommonForms: A Large, Diverse Dataset for Form Field Detection](https://arxiv.org/abs/2509.16506).
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The model detects widgets from among three classes: TextBoxes, ChoiceButtons (checkboxes), and Signature fields.
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## Results
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| Model | Text | Choice | Signature | AP (↑) |
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# FFDNet-L-cpu
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FFDNet-S is the 6 million parameter object detector trained on the dataset from the paper [CommonForms: A Large, Diverse Dataset for Form Field Detection](https://arxiv.org/abs/2509.16506).
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The model detects widgets from among three classes: TextBoxes, ChoiceButtons (checkboxes), and Signature fields.
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⚠️ This is the CPU-optimized ONNX export of the model!
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## Results
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| Model | Text | Choice | Signature | AP (↑) |
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