From 46a205aa2a0d3c8bbbab90804ca58f29ae1e36fb Mon Sep 17 00:00:00 2001 From: Niels Rogge Date: Fri, 2 Sep 2022 09:06:04 +0000 Subject: [PATCH] Update README.md --- README.md | 16 +++------------- 1 file changed, 3 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index e054203..fd36ed0 100644 --- a/README.md +++ b/README.md @@ -2,22 +2,14 @@ license: apache-2.0 tags: - vision -- image-segmentatiom - +- image-segmentation datasets: - ade-20k - -widget: -- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg - example_title: House -- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000002.jpg - example_title: Castle - --- -# Mask +# MaskFormer -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). +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). 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. @@ -59,6 +51,4 @@ Here is how to use this model: >>> output = feature_extractor.post_process_panoptic_segmentation(outputs) ``` - - For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/maskformer). \ No newline at end of file