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 |
| Publication date | 2024-06-26 |
| Date basis | Initial dataset release |
| Publication date precision | day |
| Publication date evidence | physionet.org/content |
| Publication date source field | PhysioNet landing page: Published |
| Publication date reviewed | 2026-09-11 |
| Date notes | The version 1.0 PhysioNet page states Published: June 26, 2024 and its Release Notes identify v1.0 as the first public release. |
| Primary category | fundus |
| Resource role | current_dataset |
| Dataset family | mbrset |
| Contained modalities | fundus |
| Tasks | grading, classification |
| Primary reported quantity | 5,164 images |
| 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 |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 5,164 | 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
Same PhysioNet credentialed flow as BRSET. Modality EyeDataHub otherwise lacks (portable smartphone-based fundus).
Documented relationships
These links record source-supported lineage or overlap, not merely similar modality tags.
- brset_mbrset_embeddings is
derived fromthis record: The PhysioNet record supplies precomputed representations for mBRSET images. (evidence)
Access information and download
- 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.
Similar resources by shared modality
- airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 images,
cc-by-nc-nd) - multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images,
mit) - eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs,
unknown) - justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 images,
cc-by-nc-nd) - eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 images,
research-only) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 images,
unknown) - mfiddr: MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy (34,452 images,
mit)