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  license: apache-2.0
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  tags:
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  - vision
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- - image-segmentatiom
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-
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  datasets:
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  - ade-20k
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-
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- widget:
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- - src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg
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- example_title: House
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- - src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000002.jpg
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- example_title: Castle
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-
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  ---
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- # Mask
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- Mask model trained on ade-20k. It was introduced in the paper [Per-Pixel Classification is Not All You Need for Semantic Segmentation](https://arxiv.org/abs/2107.06278) and first released in [this repository](https://github.com/facebookresearch/MaskFormer/blob/da3e60d85fdeedcb31476b5edd7d328826ce56cc/mask_former/modeling/criterion.py#L169).
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  Disclaimer: The team releasing Mask did not write a model card for this model so this model card has been written by the Hugging Face team.
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@@ -59,6 +51,4 @@ Here is how to use this model:
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  >>> output = feature_extractor.post_process_panoptic_segmentation(outputs)
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  ```
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-
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-
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  For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/maskformer).
 
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  license: apache-2.0
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  tags:
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  - vision
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+ - image-segmentation
 
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  datasets:
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  - ade-20k
 
 
 
 
 
 
 
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  ---
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+ # MaskFormer
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+ MaskFormer model trained on ade-20k. It was introduced in the paper [Per-Pixel Classification is Not All You Need for Semantic Segmentation](https://arxiv.org/abs/2107.06278) and first released in [this repository](https://github.com/facebookresearch/MaskFormer/blob/da3e60d85fdeedcb31476b5edd7d328826ce56cc/mask_former/modeling/criterion.py#L169).
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  Disclaimer: The team releasing Mask did not write a model card for this model so this model card has been written by the Hugging Face team.
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  >>> output = feature_extractor.post_process_panoptic_segmentation(outputs)
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  ```
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  For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/maskformer).