Harvard Glaucoma Fundus Image Dataset

Fundus images for glaucoma detection from Harvard Medical School / Mass Eye and Ear. Binary glaucoma classification.

At a glance

Field	Value
Short name	harvard_glaucoma
Full name	Harvard Glaucoma Fundus Image Dataset
Primary category	fundus
Contained modalities	fundus
Tasks	classification
Samples	1,000
Classes	2 (Non-glaucoma, Glaucoma)
Splits	all
Size	1.5 GB
Source-stated terms	CC0 1.0 (Public Domain)
Normalized terms	cc0
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Direct HTTP
Availability	available (checked 2026-07-21)
Acquisition support	loader_implemented_not_live_tested
Legacy sample-loader status	Standard loader included

Access preflight and acquisition

CLI

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

# Explicit transfer, only when preflight reports supported behavior
eyehub download harvard_glaucoma --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('harvard_glaucoma')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: https://doi.org/10.7910/DVN/1YRRAC

Source-term evidence: https://doi.org/10.7910/DVN/1YRRAC

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

Citation

BibTeX

@misc{harvard_glaucoma,
  title  = { Harvard Glaucoma Fundus Image Dataset },
  note   = { Luo X. et al., 'Harvard Glaucoma Detection and Progression Dataset', Harvard Dataverse, doi:10.7910/DVN/1YRRAC, 2023 },
  year   = { 2023 },
  url    = { https://doi.org/10.7910/DVN/1YRRAC },
}

Plain text

Luo X. et al., 'Harvard Glaucoma Detection and Progression Dataset', Harvard Dataverse, doi:10.7910/DVN/1YRRAC, 2023.

Source-stated terms

• Raw source string: CC0 1.0 (Public Domain)
• Normalized category: cc0
• 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.

Related datasets with shared modalities

• airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 records, cc-by-nc-nd)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records, unknown)
• justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 records, cc-by-nc-nd)
• eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 records, research-only)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records, mit)
• angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records, unknown)
• ffa_ir: FFA-IR Medical Report Dataset (47,247 records, unknown)
• bidr: BiDR: Diabetic Retinopathy Diagnosis Dataset (35,126 records, unknown)