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README.md

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+# SegFormer model fine-tuned on AROI
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+SegFormer model fine-tuned on AROI dataset [AROI: Annotated Retinal OCT Images Database](https://ieeexplore.ieee.org/abstract/document/9596934).
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+Disclaimer: The team releasing SegFormer 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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+## Model description
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+SegFormer consists of a hierarchical Transformer encoder and a lightweight all-MLP decode head to achieve great results on semantic segmentation benchmarks such as ADE20K and Cityscapes. The hierarchical Transformer is first pre-trained on ImageNet-1k, after which a decode head is added and fine-tuned altogether on a downstream dataset.