REFUGE2 — Retinal Fundus Glaucoma Challenge 2

2000 fundus images for glaucoma classification, optic disc/cup segmentation, and fovea localisation. Extends REFUGE1.

At a glance

Field	Value
Short name	refuge2
Full name	REFUGE2 — Retinal Fundus Glaucoma Challenge 2
Primary category	fundus
Contained modalities	fundus
Tasks	classification, segmentation
Samples	2,000
Classes	2 (non-glaucoma, glaucoma)
Splits	train, val, test
Size	1.2 GB
Source-stated terms	Research use (Grand Challenge)
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	challenge_participation
Access friction	anonymous_direct
Route backend	Google Drive
Availability	available (checked 2026-07-21)
Acquisition support	loader_implemented_not_live_tested
Legacy sample-loader status	Standard loader included

Access preflight and acquisition

CLI

# Read-only preflight
eyehub download refuge2 --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download refuge2 --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('refuge2')
print(preflight_dataset(ds, './data'))  # no transfer

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('refuge2')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{refuge2,
  title  = { REFUGE2 — Retinal Fundus Glaucoma Challenge 2 },
  note   = { Fang H. et al., 'REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment', MIA 2022 },
  year   = { 2022 },
  url    = { https://drive.google.com/file/d/1DspRzDqypeBOxZnWPQxmXprNVmJwkBRJ/view },
}

Plain text

Fang H. et al., 'REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment', MIA 2022.

Source-stated terms

• Raw source string: Research use (Grand Challenge)
• 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.

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)