REFUGE Multi-Rater — Glaucoma with Multi-Expert Annotations

1200 fundus images from REFUGE1 with optic disc/cup segmentation masks annotated by multiple expert raters.

At a glance

Field	Value
Short name	refuge1_multirater
Full name	REFUGE Multi-Rater — Glaucoma with Multi-Expert Annotations
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	annotation_layer
Dataset family	refuge1_multirater
Contained modalities	fundus
Tasks	classification, segmentation
Primary reported quantity	1,200 images
Classes	2 (non-glaucoma, glaucoma)
Splits	train, val, test
Size	0.8 GB
Source-stated terms	CC BY-NC-SA (see HuggingFace page)
Normalized terms	cc-by-nc-sa
Descriptive screening label	Explicit noncommercial clause recorded; check source
Terms scope	dataset_files
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	1,200	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.

Documented relationships

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

• This record is derived from refuge2: The source provides seven-rater annotations for the 1,200 original REFUGE images incorporated into the current REFUGE2 release. (evidence)

Access information and download

CLI

# Read-only preflight
eyehub download refuge1_multirater --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download refuge1_multirater --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('refuge1_multirater')
print(preflight_dataset(ds, './data'))  # no download

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('refuge1_multirater')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{refuge1_multirater,
  title  = { REFUGE Multi-Rater — Glaucoma with Multi-Expert Annotations },
  note   = { Orlando J.I. et al., 'REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs', MIA 2020 },
  year   = { 2020 },
  url    = { https://drive.google.com/file/d/1TXTrZyaZ76faXek46pEzaYQmAejLf30d/view },
}

Plain text

Orlando J.I. et al., 'REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs', MIA 2020.

Source-stated terms

• Raw source string: CC BY-NC-SA (see HuggingFace page)
• Normalized category: cc-by-nc-sa
• Apparent scope: dataset_files
• Descriptive screening label: Explicit noncommercial clause 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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