Hugging Face's logo

ClementP
/
FundusDRGrading-seresnet50

Transformers
PyTorch
Safetensors
English
fundus
diabetic retinopathy
classification
Eval Results
Inference Endpoints
Model card Files Community
FundusDRGrading-seresnet50
File size: 1,510 Bytes 
f454ebd
9bcc873
 
f454ebd
9bcc873
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f454ebd
9bcc873
 
 
 
 
 
 
 
 
 
f454ebd
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
 
---
language: en
license: mit
tags:
- fundus
- diabetic retinopathy
- classification
datasets:
- APTOS
- EYEPACS
- IDRID
- DDR
library: timm
model-index:
- name: seresnet50
  results:
  - task:
      type: image-classification
    dataset:
      name: EYEPACS
      type: EYEPACS
    metrics:
    - type: kappa
      value: 0.7506328821182251
      name: Quadratic Kappa
  - task:
      type: image-classification
    dataset:
      name: IDRID
      type: IDRID
    metrics:
    - type: kappa
      value: 0.6988881230354309
      name: Quadratic Kappa
  - task:
      type: image-classification
    dataset:
      name: DDR
      type: DDR
    metrics:
    - type: kappa
      value: 0.7436707019805908
      name: Quadratic Kappa
---
# Fundus DR Grading

[![Rye](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/rye/main/artwork/badge.json)](https://rye-up.com)
[![PyTorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white)](https://pytorch.org/docs/stable/index.html)
[![Lightning](https://img.shields.io/badge/Lightning-792ee5?logo=lightning&logoColor=white)](https://lightning.ai/docs/pytorch/stable/)

## 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.