We provide data split and model checkpoints to facilitate model comparison. Please remember to adjust the data_path, task, and nb_classes for model fine-tuning and evaluation.
Dataset | Download Link 1 | Download Link 2 |
---|---|---|
APTOS2019 | Google Drive | Baidu code:a2wg |
MESSIDOR2 | Google Drive | Baidu code:a2wg |
IDRID | Google Drive | Baidu code:a2wg |
PAPILA | Google Drive | Baidu code:a2wg |
Glaucoma_fundus | Google Drive | Baidu code:a2wg |
JSIEC | Google Drive | Baidu code:a2wg |
Retina | Google Drive | Baidu code:a2wg |
OCTID | Google Drive | Baidu code:a2wg |
Dataset | Download Link 1 | Download Link 2 |
---|---|---|
APTOS2019 | Google Drive | Baidu code:ai05 |
MESSIDOR2 | Google Drive | Baidu code:ai05 |
IDRID | Google Drive | Baidu code:ai05 |
PAPILA | Google Drive | Baidu code:ai05 |
Glaucoma_fundus | Google Drive | Baidu code:ai05 |
JSIEC | Google Drive | Baidu code:ai05 |
Retina | Google Drive | Baidu code:ai05 |
OCTID | Google Drive | Baidu code:ai05 |
- APTOS2019: https://www.kaggle.com/competitions/aptos2019-blindness-detection/data
- MESSIDOR2: https://www.adcis.net/en/third-party/messidor2/
- IDRID: https://ieee-dataport.org/open-access/indian-diabetic-retinopathy-image-dataset-idrid
- PAPILA: https://figshare.com/articles/dataset/PAPILA/14798004/1
- Glaucoma_fundus: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/1YRRAC
- JSIEC: https://zenodo.org/records/3477553
- Retina: https://www.kaggle.com/datasets/jr2ngb/cataractdataset
- OCTID: https://borealisdata.ca/dataverse/OCTID