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README.md
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It achieves the following results on the evaluation set:
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- Loss: 0.7601
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[microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft) can detect various objects in
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The following Colab notebook showcases how you can finetune the model with your custom data to detect objects.
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[Florence2-Object Detection-Finetuning-HF-Trainer.ipynb](https://colab.research.google.com/drive/1Y8GVjwzBIgfmfD3ZypDX5H1JA_VG0YDL?usp=sharing)
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## Model description
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It achieves the following results on the evaluation set:
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- Loss: 0.7601
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[microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft) can detect various objects in zero-shot setting with the task prompt "\<OD\>". Please check [Florence-2-large sample inference](https://huggingface.co/microsoft/Florence-2-large/blob/main/sample_inference.ipynb) However, the ft-base model is not able to detect tables on a given image.
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The following Colab notebook showcases how you can finetune the model with your custom data to detect objects.
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[Florence2-Object Detection-Finetuning-HF-Trainer.ipynb](https://colab.research.google.com/drive/1Y8GVjwzBIgfmfD3ZypDX5H1JA_VG0YDL?usp=sharing)
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## Model description
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