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AGE — Angle-Closure Glaucoma Evaluation Challenge (AS-OCT)

4800 AS-OCT images from 199 patients. Two tasks: angle closure classification and scleral spur localization.

At a glance

FieldValue
Short nameage_challenge
Full nameAGE — Angle-Closure Glaucoma Evaluation Challenge (AS-OCT)
First published2019-07-10
Publication date precisionday
Publication date evidenceage.grand-challenge.org/Home
Publication date source fieldOfficial AGE challenge Updates: Training images and annotations are released
Publication date reviewed2026-09-11
Primary categoryoct
Resource rolecurrent_dataset
Dataset familyage_challenge
Contained modalitiesoct
Tasksclassification
Primary reported quantity4,800 images
Classes2 (open, closed)
Splitstrain, test
Size1.2 GB
Source-stated termsChallenge data-use agreement (IEEE DataPort)
Normalized termsresearch-only
Descriptive screening labelResearch or challenge restriction recorded; check source
Terms scopechallenge_participation
Access frictioncontrolled_or_manual
Route backendGoogle Drive
Availabilityavailable (checked 2026-07-21)
Acquisition supportmanual_access_blocked
Legacy sample-loader statusStandard loader included

Reported quantities

RoleCountUnitScopeBasisEvidence
Primary4,800imagesPrimary quantity reported in the reviewed catalog sourcelegacy_catalog_fielddrive.google.com/file

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.

Access information and download

# This route requires upstream human action; no transfer starts.
eyehub download age_challenge --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.

Upstream page: drive.google.com/file

Source-term evidence: drive.google.com/file

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

Citation

@misc{age_challenge,
title = { AGE — Angle-Closure Glaucoma Evaluation Challenge (AS-OCT) },
note = { Fu H. et al., 'AGE Challenge: Angle Closure Glaucoma Evaluation', MICCAI 2019 Workshop },
year = { 2019 },
url = { https://drive.google.com/file/d/1Qlkqj74SW8DJRKdYL_-ApC_0H5Z7uyvr/view },
}

Source-stated terms

  • Raw source string: Challenge data-use agreement (IEEE DataPort)
  • Normalized category: research-only
  • Apparent scope: challenge_participation
  • 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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