mBRSET: Mobile Brazilian Retinal Dataset
5,164 fundus images from 1,291 patients captured with the Phelcom Eyer handheld smartphone-based fundus camera. Labels for DR grading + clinical/demographic prediction.
At a glance
| Field | Value |
|---|---|
| Short name | mbrset |
| Full name | mBRSET: Mobile Brazilian Retinal Dataset |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | grading, classification |
| Samples | 5,164 |
| Classes | 5 (0_no_dr, 1_mild, 2_moderate, 3_severe, 4_proliferative) |
| Splits | all |
| Size | 3.0 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 |
Notes
Same PhysioNet credentialed flow as BRSET. Modality EyeDataHub otherwise lacks (portable smartphone-based fundus).
Access preflight and acquisition
- CLI
- Python
# This route requires upstream human action; no transfer starts.
eyehub download mbrset --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('mbrset')
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
- Plain text
@misc{mbrset,
title = { mBRSET: Mobile Brazilian Retinal Dataset },
note = { Wu C, Restrepo D, Nakayama LF, et al., 'A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction', Scientific Data 12:323, 2025. doi:10.1038/s41597-025-04627-3 },
year = { 2025 },
url = { https://physionet.org/content/mbrset/1.0/ },
}
Wu C, Restrepo D, Nakayama LF, et al., 'A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction', Scientific Data 12:323, 2025. doi:10.1038/s41597-025-04627-3
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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