MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset

Multi-modal DR dataset combining color fundus photographs (CFP), OCT B-scans, and ultra-widefield (UWF) fundus images, annotated for DR detection and severity grading. Published in Nature Scientific Data 2026.

At a glance

Field	Value
Short name	mmrdr
Full name	MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset
Publication date	2025-06-30
Date basis	Initial dataset release
Publication date precision	day
Publication date evidence	api.figshare.com/v2
Publication date source field	published_date (Figshare version 1)
Publication date reviewed	2026-09-11
Date notes	Version 1 is earliest; current record is version 2.
Primary category	multimodal
Resource role	derivative_dataset
Dataset family	mmrdr
Contained modalities	fundus, oct, uwf_fundus
Tasks	grading, classification
Primary reported quantity	24,460 images
Classes	5 (No DR, Mild DR, Moderate DR, Severe DR, Proliferative DR)
Splits	train, test
Size	18.61 GB
Source-stated terms	CC BY 4.0
Normalized terms	cc-by
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
Access friction	self_service_authenticated
Route backend	Figshare
Availability	available (checked 2026-07-21)
Acquisition support	end_to_end_tested
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	24,460	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	https://doi.org/10.6084/m9.figshare.29423747

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

Contains 24,460 images across CFP, OCT, and UWF modalities. The CFP component is derived from OIA-DDR; OCT and UWF components are independently collected QEH cohorts. The source-reported unit is images rather than unique patients. Evaluation code: https://github.com/Vladimirovich2019/MMRDR_Evaluation

Documented relationships

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

• This record is derived from ddr: The MMRDR Data Descriptor identifies OIA-DDR as the source of its CFP images; MMRDR also adds independently collected OCT and UWF cohorts and new annotations. (evidence)

Access information and download

CLI

# Read-only preflight
eyehub download mmrdr --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download mmrdr --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('mmrdr')
print(preflight_dataset(ds, './data'))  # no download

Upstream page: https://doi.org/10.6084/m9.figshare.29423747

Source-term evidence: https://doi.org/10.6084/m9.figshare.29423747

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('mmrdr')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{mmrdr,
  title  = { MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset },
  note   = { MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset. Nature Scientific Data 2026. Figshare: https://doi.org/10.6084/m9.figshare.29423747 — GitHub: https://github.com/Vladimirovich2019/MMRDR_Evaluation },
  year   = { 2026 },
  url    = { https://doi.org/10.6084/m9.figshare.29423747 },
}

Plain text

MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset. Nature Scientific Data 2026. Figshare: https://doi.org/10.6084/m9.figshare.29423747 — GitHub: https://github.com/Vladimirovich2019/MMRDR_Evaluation

Source-stated terms

• Raw source string: CC BY 4.0
• Normalized category: cc-by
• Apparent scope: dataset_files
• Descriptive screening label: Standard label without an explicit NC clause; not a permission finding

⚠️ 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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