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
| Field | Value |
|---|---|
| Short name | maples_dr |
| Full name | MAPLES-DR: Montreal Annotation Project for DR |
| First published | 2023-12-15 |
| 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 |
| Primary category | fundus |
| Resource role | current_dataset |
| Dataset family | maples_dr |
| Contained modalities | fundus |
| Tasks | segmentation, grading, classification |
| Primary reported quantity | 198 images |
| Classes | 5 (No DR, Mild DR, Moderate DR, Severe DR, PDR) |
| Splits | train, test |
| Size | 0.5 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 | standard_platform_supported |
| Legacy sample-loader status | Standard loader included |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 198 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | https://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
- CLI
- Python
# 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
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('maples_dr')
print(preflight_dataset(ds, './data')) # no download
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
- BibTeX
- Plain text
@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 },
}
Morin et al., 'MAPLES-DR: MESSIDOR Annotation Project for Lesion and Structures Evaluation in Diabetic Retinopathy', Scientific Data 2024.
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)