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authoredDec 19, 2023
Update README.md
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‎DETA/README.md

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DETA is a new model that improves upon Deformable DETR. Equipped with a Swin-large backbone and pre-trained on Object 365, it obtains an average precision (AP) of 63 on COCO.
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`DetaForObjectDetection` has the same API as models like DETR, Deformable DETR and Conditional DETR, hence I refer to my notebooks [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/DETR) regarding fine-tuning on custom data.
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`DetaForObjectDetection` has the same API as models like DETR, Deformable DETR and Conditional DETR, hence they can be fine-tuned in the same way.
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This folder just contains a notebook illustrating inference.
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This folder contains notebooks both for inference and fine-tuning on a custom dataset.

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