Resources
Database
Credentialed Access
Luis Filipe Nakayama, Mariana Goncalves, Lucas Zago Ribeiro, et al.
This is the first Brazilian Multilabel Ophthalmological Dataset with demographic information and retinal photos labeled images according to anatomical parameters, quality control, and presumed diagnosis.
dataset
ophthalmology
retina
Published: Aug. 14, 2024.
Version: 1.0.1
Database
Credentialed Access
Luis Filipe Nakayama, Mariana Goncalves, Lucas Zago Ribeiro, et al.
This is the first Brazilian Multilabel Ophthalmological Dataset with demographic information and retinal photos labeled images according to anatomical parameters, quality control, and presumed diagnosis.
dataset
ophthalmology
retina
Published: Aug. 14, 2024.
Version: 1.0.1
Database
Credentialed Access
David Restrepo, Chenwei Wu, Michael Morley, et al.
Precomputed image embeddings for the BRSET and mBRSET Brazilian retinal datasets to support efficient, secure, and equitable ophthalmic AI research, enabling tasks such as classification, clustering, multimodal modeling, and fairness analysis.
computer vision
ophthalmology
vector embeddings
Published: March 30, 2026.
Version: 1.0.0
Database
Credentialed Access
David Restrepo, Chenwei Wu, Michael Morley, et al.
Precomputed image embeddings for the BRSET and mBRSET Brazilian retinal datasets to support efficient, secure, and equitable ophthalmic AI research, enabling tasks such as classification, clustering, multimodal modeling, and fairness analysis.
computer vision
ophthalmology
vector embeddings
Published: March 30, 2026.
Version: 1.0.0
Database
Open Access
Itziar Fernández, Ruben Cuadrado Asensio, Yolanda Larriba, et al.
336 CSV records with 1354 PERG responses (microvolts) from 304 subjects at IOBA. Includes age (years), gender, diagnoses, and visual acuity in logMar scale.
Published: Jan. 19, 2024.
Version: 1.0.0
Database
Open Access
Or Abramovich, Hadas Pizem, Jonathan Fhima, et al.
HYGD is a rigorously annotated fundus image dataset with gold-standard clinical labels designed to improve and benchmark deep learning models for accurate glaucoma detection.
ophthalmology
retina
glaucoma
dfi
gon
fundus
gold-standard
Published: March 16, 2026.
Version: 1.1.0
Database
Credentialed Access
Luis Filipe Nakayama, Lucas Zago Ribeiro, David Restrepo, et al.
mBRSET - a Mobile Brazilian Retinal Dataset
ophthalmology
retina
Published: June 26, 2024.
Version: 1.0
Database
Open Access
Or Abramovich, Hadas Pizem, Jonathan Fhima, et al.
HYGD is a rigorously annotated fundus image dataset with gold-standard clinical labels designed to improve and benchmark deep learning models for accurate glaucoma detection.
ophthalmology
retina
glaucoma
dfi
gon
fundus
gold-standard
Published: March 16, 2026.
Version: 1.1.0
Database
Credentialed Access
Luis Filipe Nakayama, Lucas Zago Ribeiro, David Restrepo, et al.
mBRSET - a Mobile Brazilian Retinal Dataset
ophthalmology
retina
Published: June 26, 2024.
Version: 1.0