DRISHTI-GS: Optic Disc and Cup Segmentation

101 fundus images annotated for optic disc and cup segmentation by 4 clinicians. Train/test: 50/51.

At a glance

Field	Value
Short name	drishti_gs
Full name	DRISHTI-GS: Optic Disc and Cup Segmentation
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	drishti_gs
Contained modalities	fundus
Tasks	segmentation
Primary reported quantity	101 images
Classes	Not reported (Not reported)
Splits	train, test
Size	0.8 GB
Source-stated terms	Research only
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	self_service_authenticated
Route backend	Kaggle
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	101	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	kaggle.com/datasets

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.

• fundus_domain_generalization is derived from this 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)
• higancnn_generated_glaucoma is derived from this record: The official dataset description names ACRIMA, DRISHTI-GS, and HRF among the human fundus sources used to construct the synthetic glaucoma resource. (evidence)
• mendeley_utilizing_responsive_web_portal_studying_disc is derived from this record: The Mendeley deposit is a distinct annotation and task layer built from DRISHTI-GS fundus images. (evidence)
• mm_retinal_reason is derived from this record: The version-pinned official dataset card lists this record among the CFP or OCT sources used to construct MM-Retinal-Reason. (evidence)
• smdg is derived from this record: The official SMDG source table lists this catalog record among the 19 standardized source domains. (evidence)

Access information and download

CLI

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

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

Python

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

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

Upstream page: kaggle.com/datasets

Source-term evidence: kaggle.com/datasets

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

Citation

BibTeX

@misc{drishti_gs,
  title  = { DRISHTI-GS: Optic Disc and Cup Segmentation },
  note   = { Sivaswamy et al., 'Drishti-GS: Retinal image dataset for optic nerve head (ONH) segmentation', ISBI 2014 },
  year   = { 2014 },
  url    = { https://www.kaggle.com/datasets/lokeshsaipureddi/drishtigs-retina-dataset-for-onh-segmentation },
}

Plain text

Sivaswamy et al., 'Drishti-GS: Retinal image dataset for optic nerve head (ONH) segmentation', ISBI 2014.

Source-stated terms

• Raw source string: Research only
• Normalized category: research-only
• Apparent scope: dataset_files
• 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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