BRSET: Brazilian Multilabel Ophthalmological Dataset

16,266 color fundus images from 8,524 Brazilian patients with 14 disease labels (DR, AMD, glaucoma, drusen, others), image quality flags, and demographic attributes.

At a glance

Field	Value
Short name	brset
Full name	BRSET: Brazilian Multilabel Ophthalmological Dataset
First published	2023-03-08
Publication date precision	day
Publication date evidence	physionet.org/content
Publication date source field	PhysioNet landing page: Published
Publication date reviewed	2026-09-11
Primary category	fundus
Resource role	current_dataset
Dataset family	brset
Contained modalities	fundus
Tasks	multilabel, classification, quality
Primary reported quantity	16,266 images
Classes	14 (Not reported)
Splits	all
Size	9.0 GB
Source-stated terms	PhysioNet Credentialed Health Data License 1.5.0 (Research only)
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	controlled_or_manual
Route backend	PhysioNet
Availability	available (checked 2026-07-21)
Acquisition support	manual_access_blocked
Legacy sample-loader status	Metadata and access only

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	16,266	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	physionet.org/content

Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.

Notes

Requires PhysioNet credentialed-user account + CITI training + signed Data Use Agreement. Set PHYSIONET_USERNAME and PHYSIONET_PASSWORD in .env to auto-download.

Documented relationships

These links record source-supported lineage or overlap, not merely similar modality tags.

• brset_mbrset_embeddings is derived from this record: The PhysioNet record supplies precomputed representations for BRSET images. (evidence)

Access information and download

CLI

# This route requires upstream human action; no transfer starts.
eyehub download brset --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('brset')
print(preflight_dataset(ds, './data'))  # returns manual_access_blocked

Upstream page: physionet.org/content

Source-term evidence: physionet.org/content

Loader status

This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.

Citation

BibTeX

@misc{brset,
  title  = { BRSET: Brazilian Multilabel Ophthalmological Dataset },
  note   = { Nakayama LF, Restrepo D, Matos J, et al., 'BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos', PLOS Digital Health 3(7):e0000454, 2024. doi:10.1371/journal.pdig.0000454 · PhysioNet DOI: 10.13026/1pht-2b69 },
  year   = { 2024 },
  url    = { https://physionet.org/content/brazilian-ophthalmological/1.0.1/ },
}

Plain text

Nakayama LF, Restrepo D, Matos J, et al., 'BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos', PLOS Digital Health 3(7):e0000454, 2024. doi:10.1371/journal.pdig.0000454 · PhysioNet DOI: 10.13026/1pht-2b69

Source-stated terms

• Raw source string: PhysioNet Credentialed Health Data License 1.5.0 (Research only)
• Normalized category: research-only
• Apparent scope: dataset_files
• Descriptive screening label: Research or challenge restriction recorded; check source

⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.

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