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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 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)
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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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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) for how to use Florence-2 model in inference. 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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