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 |
| 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 | refuge2 |
| Contained modalities | fundus |
| Tasks | classification, segmentation |
| Primary reported quantity | 2,000 images |
| 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 |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 2,000 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | drive.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.
Notes
Current release containing all 1,200 REFUGE 2018 images plus 800 additional images. REFUGE 2018 is retained as version history below and is not counted separately.
Documented relationships
These links record source-supported lineage or overlap, not merely similar modality tags.
- fundus_domain_generalization is
derived fromthis record: The official description states that the benchmark is based on the original REFUGE images, now represented by the current REFUGE2 record, plus Drishti-GS, ORIGA, and RIGA. (evidence) - lmod_plus is
derived fromthis record: The LMOD+ project page lists nine component datasets, including the five cataloged targets represented by these edges. (evidence) - mm_retinal_reason is
derived fromthis record: The version-pinned official dataset card lists this record among the CFP or OCT sources used to construct MM-Retinal-Reason. (evidence) - refuge1_multirater is
derived fromthis record: The source provides seven-rater annotations for the 1,200 original REFUGE images incorporated into the current REFUGE2 release. (evidence) - smdg is
derived fromthis record: The official SMDG source table lists this catalog record among the 19 standardized source domains. (evidence)
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download refuge2 --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download refuge2 --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('refuge2')
print(preflight_dataset(ds, './data')) # no download
Upstream page: drive.google.com/file
Other documented locations
These links identify alternate deposits, components, metadata records, mirrors, versions, or related derived materials. They do not create additional canonical catalog records.
- grand_challenge: previous version (REFUGE-2018, version 2018): Earlier 1,200-image release incorporated into REFUGE2; not counted as a separate current catalog record.
- kaggle: mirror (victorlemosml/refuge2): Non-authoritative mirror of the current REFUGE2 release.
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
- Plain text
@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 },
}
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.
Similar resources by shared modality
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cc-by-nc-nd) - multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images,
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unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 images,
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