datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GAMMA
GAMMA — Glaucoma grading from Multi-Modality imAges (Challenge dataset)
Image: Dataset Samples.
Short description
GAMMA is the first public multi-modality glaucoma grading dataset that pairs 2D color fundus photographs with 3D OCT volumes for each sample. It was released as part of the GAMMA challenge (OMIA8 / MICCAI 2021) to encourage algorithms that combine fundus and OCT information for automatic… See the full description on the dataset page: https://huggingface.co/datasets/ctmedtech/GAMMA.DDR-dataset
DDR - Diabetic Retinopathy Detection Dataset
Image: Dataset Samples.
The DDR (Diabetic Retinopathy Detection) dataset is a large-scale collection of retinal fundus images designed for training and evaluating algorithms in diabetic retinopathy (DR) grading and lesion-level segmentation. It provides both image-level DR labels and pixel-level annotations of pathological features, making it suitable for… See the full description on the dataset page: https://huggingface.co/datasets/ctmedtech/DDR-dataset.PALM
🩺 PALM — Pathologic Myopia Fundus Image Dataset
Image: Dataset Samples.
📘 Overview
PALM (Pathologic Myopia) is a publicly available fundus image dataset developed for detecting pathologic myopia (PM) and analyzing associated retinal lesions and anatomical structures.
It was released for the Pathologic Myopia Challenge (PALM), hosted by the Chinese Academy of Sciences and Sun Yat-sen University, and… See the full description on the dataset page: https://huggingface.co/datasets/ctmedtech/PALM.RFMID
🩺 RFMiD — Retinal Fundus Multi-Disease Image Dataset
Image: Dataset Samples.
The Retinal Fundus Multi-Disease Image Dataset (RFMiD) is designed for multi-disease detection and classification in retinal fundus photographs.It includes 3,200 high-quality color images with 46 labeled retinal disease conditions, curated by expert ophthalmologists from India.This dataset enables development of generalized deep learning… See the full description on the dataset page: https://huggingface.co/datasets/ctmedtech/RFMID.EYEPACS
EyePACS — Diabetic Retinopathy Fundus Image Dataset
Image: EYEPACS Preprocess Samples.
📘 Overview
EyePACS (Eye Picture Archive Communication System) is a large-scale collection of retinal fundus images used for automated diabetic retinopathy (DR) detection.It formed the basis of the Kaggle Diabetic Retinopathy Detection challenge, enabling research into DR classification and screening.
The… See the full description on the dataset page: https://huggingface.co/datasets/ctmedtech/EYEPACS.MR-RATE-nvseg-ctmr
MR-RATE: A Vision-Language Foundation Model and Dataset for Magnetic Resonance Imaging
This is the MR-RATE-nvseg-ctmr repository, part of the MR-RATE dataset release. It contains multi-label segmentations predicted with the NV-Segment-CTMR model. For full dataset details, native-space MRI volumes, radiology reports, metadata, and data splits, please refer to the MR-RATE repository. To explore, download, and work with the… See the full description on the dataset page: https://huggingface.co/datasets/Forithmus/MR-RATE-nvseg-ctmr.