Skip to main content

MAPLES-DR: Montreal Annotation Project for DR

198 fundus images (from MESSIDOR) with pixel-wise segmentation for 10 biomarkers (lesions + structures) + DR and ME severity grades.

At a glance​

FieldValue
Short namemaples_dr
Full nameMAPLES-DR: Montreal Annotation Project for DR
Publication date2023-12-15
Date basisInitial dataset release
Publication date precisionday
Publication date evidenceapi.figshare.com/v2
Publication date source fieldpublished_date (Figshare version 1)
Publication date reviewed2026-09-11
Date notesVersion 1 is earliest; current record is version 3.
Primary categoryfundus
Resource rolecurrent_dataset
Dataset familymaples_dr
Contained modalitiesfundus
Taskssegmentation, grading, classification
Primary reported quantity198 images
Classes5 (No DR, Mild DR, Moderate DR, Severe DR, PDR)
Splitstrain, test
Size0.5 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 backendFigshare
Availabilityavailable (checked 2026-07-21)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusStandard loader included

Reported quantities​

RoleCountUnitScopeBasisEvidence
Primary198imagesPrimary quantity reported in the reviewed catalog sourcelegacy_catalog_fieldhttps://doi.org/10.6084/m9.figshare.24328660

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​

Segmentation maps for 10 retinal biomarkers.

Access information and download​

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

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

Upstream page: https://doi.org/10.6084/m9.figshare.24328660

Source-term evidence: https://doi.org/10.6084/m9.figshare.24328660

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('maples_dr')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)

Citation​

@misc{maples_dr,
title = { MAPLES-DR: Montreal Annotation Project for DR },
note = { Morin et al., 'MAPLES-DR: MESSIDOR Annotation Project for Lesion and Structures Evaluation in Diabetic Retinopathy', Scientific Data 2024 },
year = { 2024 },
url = { https://doi.org/10.6084/m9.figshare.24328660 },
}

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)