MESSIDOR-2
1748 fundus images with DR grading (0-3 Retinopathy Grade) and macular edema risk (0-2).
At a glance
| Field | Value |
|---|---|
| Short name | messidor2 |
| Full name | MESSIDOR-2 |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | grading, classification |
| Samples | 1,748 |
| Classes | 4 (Grade 0, Grade 1, Grade 2, Grade 3) |
| Splits | all |
| Size | 3.0 GB |
| Source-stated terms | Research only — requires registration |
| Normalized terms | research-only |
| Descriptive screening label | Research or challenge restriction recorded; check source |
| Terms scope | dataset_files |
| Access friction | self_service_authenticated |
| Route backend | Manual (upstream-gated) |
| Availability | available (checked 2026-07-21) |
| Acquisition support | guided_instructions_only |
| Legacy sample-loader status | Standard loader included |
Notes
Free registration required at adcis.net before downloading.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download messidor2 --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download messidor2 --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('messidor2')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: adcis.net/en
Source-term evidence: adcis.net/en
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('messidor2')
samples = ds.load(data_dir, split='all')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)
Citation
- BibTeX
- Plain text
@misc{messidor2,
title = { MESSIDOR-2 },
note = { Decencière et al., 'Feedback on a publicly distributed image database: the Messidor database', Image Analysis & Stereology 2014 },
year = { 2014 },
url = { https://www.adcis.net/en/third-party/messidor2/ },
}
Decencière et al., 'Feedback on a publicly distributed image database: the Messidor database', Image Analysis & Stereology 2014.
Source-stated terms
- Raw source string: Research only — requires registration
- 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.
Related datasets with shared modalities
- airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 records,
cc-by-nc-nd) - eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records,
unknown) - justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 records,
cc-by-nc-nd) - eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 records,
research-only) - multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records,
mit) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 records,
unknown) - bidr: BiDR: Diabetic Retinopathy Diagnosis Dataset (35,126 records,
unknown)