nvidia
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segformer-b2-finetuned-ade-512-512

Image Segmentation

Inference Endpoints

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nielsr HF staff commited on Feb 21, 2022

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-# SegFormer (b0-sized) model fine-tuned on ADE20k
 SegFormer model fine-tuned on ADE20k at resolution 512x512. It was introduced in the paper [SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers](https://arxiv.org/abs/2105.15203) by Xie et al. and first released in [this repository](https://github.com/NVlabs/SegFormer).

   example_title: Castle
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+# SegFormer (b2-sized) model fine-tuned on ADE20k
 SegFormer model fine-tuned on ADE20k at resolution 512x512. It was introduced in the paper [SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers](https://arxiv.org/abs/2105.15203) by Xie et al. and first released in [this repository](https://github.com/NVlabs/SegFormer).