HiGANCNN Generated Glaucoma Dataset

Synthetic glaucoma/normal fundus images with documented human source collections.

At a glance

Field	Value
Short name	higancnn_generated_glaucoma
Full name	HiGANCNN Generated Glaucoma Dataset
First published	2022-08-13
Publication date precision	day
Publication date evidence	kaggle.com/api
Publication date source field	versions[0].creationDate (version 1, Initial release)
Publication date reviewed	2026-09-11
Primary category	fundus
Resource role	derivative_dataset
Dataset family	higancnn_generated_glaucoma
Contained modalities	fundus
Tasks	classification
Primary reported quantity	30,000 images
Classes	Not reported (Not reported)
Splits	all
Size	Not reported
Source-stated terms	Unknown
Normalized terms	unknown
Descriptive screening label	Unknown or unclear; do not assume permission
Terms scope	dataset_files
Access friction	self_service_authenticated
Route backend	Kaggle
Availability	available (checked 2026-08-02)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Metadata and access only

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	30,000	images	Source reports 30,000 generated eye images. Source-stated quantity; repository file count is separate.	official_source_description	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.

Notes

Source also names ORIGA-LIGHT and generic RIM-ONE. The catalog has RIM-ONE DL, but public evidence does not establish that exact release; no edge is asserted for either external source.

Documented relationships

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

• This record is derived from acrima: The official dataset description names ACRIMA, DRISHTI-GS, and HRF among the human fundus sources used to construct the synthetic glaucoma resource. (evidence)
• This record is derived from drishti_gs: The official dataset description names ACRIMA, DRISHTI-GS, and HRF among the human fundus sources used to construct the synthetic glaucoma resource. (evidence)
• This record is derived from hrf: The official dataset description names ACRIMA, DRISHTI-GS, and HRF among the human fundus sources used to construct the synthetic glaucoma resource. (evidence)

Access information and download

CLI

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

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

Python

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

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

Upstream page: kaggle.com/datasets

Source-term evidence: kaggle.com/datasets

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{higancnn_generated_glaucoma,
  title  = { HiGANCNN Generated Glaucoma Dataset },
  note   = { Repository dataset record. hindsaud/datasets-higancnn-glaucoma-detection },
  url    = { https://www.kaggle.com/datasets/hindsaud/datasets-higancnn-glaucoma-detection },
}

Plain text

Repository dataset record. hindsaud/datasets-higancnn-glaucoma-detection.

Source-stated terms

• Raw source string: Unknown
• Normalized category: unknown
• Apparent scope: dataset_files
• Descriptive screening label: Unknown or unclear; do not assume permission

⚠️ 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

• airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 images, cc-by-nc-nd)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images, mit)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs, unknown)
• justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 images, cc-by-nc-nd)
• eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 images, research-only)
• angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images, unknown)
• ffa_ir: FFA-IR Medical Report Dataset (47,247 images, unknown)
• mfiddr: MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy (34,452 images, mit)