Fundus Dataset for Domain Generalization in Optic Disc/Cup Segmentation

Five-domain optic disc/cup segmentation benchmark composed from REFUGE, Drishti-GS, ORIGA, RIGA, and related sources.

At a glance

Field	Value
Short name	fundus_domain_generalization
Full name	Fundus Dataset for Domain Generalization in Optic Disc/Cup Segmentation
First published	2023-06-06
Publication date precision	day
Publication date evidence	zenodo.org/api
Publication date source field	metadata.publication_date (earliest public Zenodo version)
Publication date reviewed	2026-09-11
Primary category	fundus
Resource role	derivative_dataset
Dataset family	fundus_domain_generalization
Contained modalities	fundus
Tasks	segmentation
Primary reported quantity	1,441 images
Classes	Not reported (Not reported)
Splits	all
Size	0.62 GB
Source-stated terms	CC BY 4.0
Normalized terms	cc-by
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
Access friction	self_service_authenticated
Route backend	Zenodo
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Metadata and access only

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	1,441	images	Five source domains after the documented train/test composition The images reuse REFUGE, Drishti-GS, ORIGA, and RIGA sources.	derived_from_reported_components	zenodo.org/records

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

Composite of datasets already indexed separately; retained as a benchmark split/annotation resource.

Documented relationships

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

• This record is derived from drishti_gs: 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)
• This record is derived from refuge2: 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)
• This record is derived from riga: 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)

Access information and download

CLI

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

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

Python

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

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

Upstream page: zenodo.org/records

Source-term evidence: zenodo.org/records

Loader status

This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.

Citation

BibTeX

@misc{fundus_domain_generalization,
  title  = { Fundus Dataset for Domain Generalization in Optic Disc/Cup Segmentation },
  note   = { A Fundus Image Dataset for Domain Generalization in Joint Segmentation of Optic Disc and Optic Cup. Zenodo, 2023. doi:10.5281/zenodo.8009107 },
  year   = { 2023 },
  url    = { https://zenodo.org/records/8009107 },
}

Plain text

A Fundus Image Dataset for Domain Generalization in Joint Segmentation of Optic Disc and Optic Cup. Zenodo, 2023. doi:10.5281/zenodo.8009107

Source-stated terms

• Raw source string: CC BY 4.0
• Normalized category: cc-by
• Apparent scope: dataset_files
• Descriptive screening label: Standard label without an explicit NC clause; not a permission finding

⚠️ 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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