Datasets › MeDAL Retina Dataset
MeDAL Retina Dataset (MeDAL Retina Dataset)
Our primary objective in creating this dataset is to support researchers in the advancement of algorithms for keypoints detection and the pretraining of large models on retinal images using a self-supervised approach. The keypoints in the dataset have been carefully annotated by students from our lab, ensuring meticulous accuracy.
The dataset contains 261 annotated images 1920 images for auxiliary training of the decoder of the descriptors 93209 images for training large models in self-supervised manner
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- MeDAL Retina Dataset
1 variant name, as the archive lists them.
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