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# DETR-Resnet50 (semantic segmentation) Core ML Models
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See [the Files tab](tree/main) for converted models.
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DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) by Carion et al. and first released in [this repository](https://github.com/facebookresearch/detr).
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# DETR-Resnet50 (semantic segmentation) Core ML Models
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Semantic Segmentation.
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![Semantic Segmentation](DETRSegmentation_2x.png)
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See [the Files tab](tree/main) for converted models.
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DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) by Carion et al. and first released in [this repository](https://github.com/facebookresearch/detr).
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