RetinaMNIST

Dataset Information

The RetinaMNIST is based on the DeepDRiD challenge, which provides a dataset of 1,600 retina fundus images. The task is ordinal regression for 5-level grading of diabetic retinopathy severity. We split the source training set with a ratio of 9:1 into training and validation set, and use the source validation set as the test set. The source images of 3×1,736×1,824 are center-cropped and resized into 3×28×28.

Task: ordinal-regression

Labels:

0: 0, 1: 1, 2: 2, 3: 3, 4: 4

Samples:

• Train: 1080
• Validation: 120
• Test: 400

Experiment Parameter

Learning Rate: 3e-4

Training Epoch: 100

Convergence Epoch: 7