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  tags:
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- - pytorch_model_hub_mixin
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- - model_hub_mixin
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
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- This model has been pushed to the Hub using ****:
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- - Repo: [More Information Needed]
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- - Docs: [More Information Needed]
 
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  ---
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+ language: en
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+ license: mit
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  tags:
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+ - fundus
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+ - diabetic retinopathy
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+ - classification
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+ datasets:
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+ - APTOS
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+ - EYEPACS
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+ - IDRID
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+ - DDR
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+ library: timm
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+ model-index:
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+ - name: swinv2_large_window12to16_192to256.ms_in22k_ft_in1k
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+ results:
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+ - task:
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+ type: image-classification
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+ dataset:
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+ name: EYEPACS
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+ type: EYEPACS
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+ metrics:
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+ - type: kappa
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+ value: 0.7938311696052551
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+ name: Quadratic Kappa
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+ - task:
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+ type: image-classification
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+ dataset:
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+ name: IDRID
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+ type: IDRID
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+ metrics:
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+ - type: kappa
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+ value: 0.768999457359314
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+ name: Quadratic Kappa
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+ - task:
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+ type: image-classification
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+ dataset:
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+ name: DDR
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+ type: DDR
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+ metrics:
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+ - type: kappa
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+ value: 0.7947348952293396
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+ name: Quadratic Kappa
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  ---
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+ # Fundus DR Grading
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+
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+ [![Rye](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/rye/main/artwork/badge.json)](https://rye-up.com)
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+ [![PyTorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white)](https://pytorch.org/docs/stable/index.html)
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+ [![Lightning](https://img.shields.io/badge/Lightning-792ee5?logo=lightning&logoColor=white)](https://lightning.ai/docs/pytorch/stable/)
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+
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+ ## Description
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+
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+ This project aims to evaluate the performance of different models for the classification of diabetic retinopathy (DR) in fundus images. The reported perfomance metrics are not always consistent in the literature. Our goal is to provide a fair comparison between different models using the same datasets and evaluation protocol.
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