Skip to main content

MuReD: Multi-label Retinal Diseases Dataset

2,208 color fundus images with 20-class multi-label disease annotations.

At a glance

FieldValue
Short namemured
Full nameMuReD: Multi-label Retinal Diseases Dataset
First published2022-07-25
Publication date precisionday
Publication date evidencedata.mendeley.com/datasets
Publication date source fieldcitation_publication_date (version 1)
Publication date reviewed2026-09-11
Primary categoryfundus
Resource rolederivative_dataset
Dataset familymured
Contained modalitiesfundus
Tasksmultilabel, classification
Primary reported quantity2,208 images
Classes20 (Not reported)
Splitstrain, test
Size2.0 GB
Source-stated termsCC BY 4.0
Normalized termscc-by
Descriptive screening labelStandard label without an explicit NC clause; not a permission finding
Terms scopedataset_files
Access frictionself_service_authenticated
Route backendMendeley Data
Availabilityavailable (checked 2026-07-21)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Reported quantities

RoleCountUnitScopeBasisEvidence
Primary2,208imagesPrimary quantity reported in the reviewed catalog sourcelegacy_catalog_fielddata.mendeley.com/datasets

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

The official source states that images from STARE, RFMiD, and ARIA were post-processed for this release. ARIA is not a separate EyeDataHub record.

Documented relationships

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

  • x_pcr is derived from this record: Source labels in the version-pinned public X-PCR deposit identify this catalog record as upstream material. (evidence)
  • This record is derived from rfmid: The MuReD description identifies STARE, RFMiD, and ARIA as image sources and applies post-processing. (evidence)
  • This record is derived from stare: The MuReD description identifies STARE, RFMiD, and ARIA as image sources and applies post-processing. (evidence)

Access information and download

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

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

Upstream page: data.mendeley.com/datasets

Source-term evidence: data.mendeley.com/datasets

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

@misc{mured,
title = { MuReD: Multi-label Retinal Diseases Dataset },
note = { Rodriguez MA, AlMarzouqi H, Liatsis P, 'Multi-label Retinal Disease Classification using Transformers', IEEE Journal of Biomedical and Health Informatics 27(6):2739-2750, 2022. arXiv:2207.02335 },
year = { 2022 },
url = { https://data.mendeley.com/datasets/pc4mb3h8hz/1 },
}

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.

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)