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iChallenge-AMD: Age-related Macular Degeneration

400 training fundus images with AMD classification (non-AMD vs AMD) and lesion annotations. Challenge dataset from ISBI 2020.

At a glance

FieldValue
Short nameichallenge_amd
Full nameiChallenge-AMD: Age-related Macular Degeneration
First published2018-10-20
Publication date precisionday
Publication date evidenceamd.grand-challenge.org/Home
Publication date source fieldOfficial ADAM/iChallenge-AMD challenge Updates: Training images and annotations are released
Publication date reviewed2026-09-11
Primary categoryfundus
Resource rolecurrent_dataset
Dataset familyichallenge_amd
Contained modalitiesfundus
Tasksclassification
Primary reported quantity400 images
Classes2 (Non-AMD, AMD)
Splitstrain, test
Size1.5 GB
Source-stated termsResearch only — requires registration
Normalized termsresearch-only
Descriptive screening labelResearch or challenge restriction recorded; check source
Terms scopedataset_files
Access frictionself_service_authenticated
Route backendManual (upstream-gated)
Availabilityavailable (checked 2026-07-21)
Acquisition supportguided_instructions_only
Legacy sample-loader statusStandard loader included

Reported quantities

RoleCountUnitScopeBasisEvidence
Primary400imagesPrimary quantity reported in the reviewed catalog sourcelegacy_catalog_fieldamd.grand-challenge.org/download

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

Grand Challenge login is required: https://amd.grand-challenge.org/download/ The original Baidu BROAD portal has returned intermittent 5xx errors since 2024. Alternative partial resource:

Access information and download

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

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

Upstream page: amd.grand-challenge.org/download

Source-term evidence: amd.grand-challenge.org/download

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

Citation

@misc{ichallenge_amd,
title = { iChallenge-AMD: Age-related Macular Degeneration },
note = { Fu et al., 'Age-Related Macular Degeneration and Pathologic Myopia Fundus Image Analysis Challenge', ISBI 2020 },
year = { 2020 },
url = { https://amd.grand-challenge.org/download/ },
}

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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