retina
Datasets
All datasets matching “retina”open-retina
OpenRetina
Data repository for the OpenRetina project.
Contains datasets of paired stimuli and neural responses of the retina, recorded across laboratories, recording techniques and species, ready to use with the companion openretina Python package.
Data sources and attribution
All datasets are shared under a CC-BY Share-Alike license, and we acknowledge and credit the original sources below:
euler_lab/hoefling_2024: Originally published by Höfling et al. (2024)… See the full description on the dataset page: https://huggingface.co/datasets/open-retina/open-retina.retina-age-analysis
Retina Age Analysis Dataset
Dataset Description
This dataset contains 9,857 retinal fundus images from 5,393 patients for age prediction tasks.
Dataset Summary
Task: Age prediction from retinal fundus images
Images: 9,857 high-quality retinal images
Patients: 5,393 unique patients
Age Range: 5-97 years
Image Format: JPEG
Average Image Size: ~1 MB
Supported Tasks
Regression: Predict continuous age (5-97 years)
Classification: Predict age group (5… See the full description on the dataset page: https://huggingface.co/datasets/ramankamran/retina-age-analysis.DRIVE-digital-retinal-images-for-vessel-extractionarXiv:2501.18921https://arxiv.org/abs/2501.18921
retinal-dr-longitudinal
Retinal DR Longitudinal: Paired Baseline and 2-Year Follow-up Fundus Images
Paired retinal fundus photographs from 574 diabetic retinopathy (DR) patients, with baseline and two-year follow-up images plus clinical metadata.
Dataset Description
This dataset contains longitudinal retinal fundus image pairs acquired at Tianjin Medical University Eye Hospital. Each patient has a baseline fundus photograph and a corresponding two-year follow-up photograph, enabling… See the full description on the dataset page: https://huggingface.co/datasets/usama10/retinal-dr-longitudinal.awg_retina_tomography_uiMM-Retinal-Reason
Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
🔥 Overview
We introduce MM-Retinal-Reason, the first ophthalmic multimodal dataset with the full spectrum of perception and reasoning. It encompasses both basic reasoning tasks and complex reasoning tasks, aiming to enhance visual-centric fundamental reasoning capabilities and emulate realistic clinical thinking patterns. Building upon… See the full description on the dataset page: https://huggingface.co/datasets/lxirich/MM-Retinal-Reason.