Fundus DR Grading

Rye PyTorch Lightning

Description

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.

Downloads last month
97
Safetensors
Model size
7.04M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and HF Inference API was unable to determine this model’s pipeline type.

Collection including ClementP/FundusDRGrading-densenet121.tv_in1k