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
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	fundus
Resource role	current_dataset
Dataset family	messidor2
Contained modalities	fundus
Tasks	grading, classification
Primary reported quantity	1,748 images
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

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	1,748	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	adcis.net/en

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

Free registration required at adcis.net before downloading.

Documented relationships

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

• multieye is derived from this record: The MultiEYE paper names this record as one of the public fundus or OCT sources assembled for the benchmark. (evidence)

Access information and download

CLI

# Read-only preflight
eyehub download messidor2 --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download messidor2 --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('messidor2')
print(preflight_dataset(ds, './data'))  # no download

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

@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/ },
}

Plain text

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.

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