JustRAIGS: Just Referral AI Glaucoma Screening Dataset
101,442 gradable fundus images labeled as referable (RG) or non-referable (NRG) for glaucoma. Image data from EyePACS LLC; labels from Rotterdam Eye Hospital expert graders.
At a glance
| Field | Value |
|---|---|
| Short name | justraigs |
| Full name | JustRAIGS: Just Referral AI Glaucoma Screening Dataset |
| First published | 2024-01-08 |
| Publication date precision | day |
| Publication date evidence | zenodo.org/api |
| Publication date source field | metadata.publication_date (earliest repository version) |
| Publication date reviewed | 2026-09-11 |
| Primary category | fundus |
| Resource role | current_dataset |
| Dataset family | justraigs |
| Contained modalities | fundus |
| Tasks | classification |
| Primary reported quantity | 101,442 images |
| Classes | 2 (No Referable Glaucoma, Referable Glaucoma) |
| Splits | train |
| Size | 100.0 GB |
| Source-stated terms | CC BY-NC-ND 4.0 |
| Normalized terms | cc-by-nc-nd |
| Descriptive screening label | Explicit noncommercial clause recorded; check source |
| Terms scope | dataset_files |
| Access friction | self_service_clickthrough |
| Route backend | Zenodo |
| 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 | 101,442 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | 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
Large dataset (~100 GB). The record is publicly accessible but downloading requires accepting the CC BY-NC-ND terms on the Zenodo page. Set ZENODO_TOKEN in .env if access is denied.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download justraigs --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download justraigs --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('justraigs')
print(preflight_dataset(ds, './data')) # no download
Upstream page: zenodo.org/records
Source-term evidence: zenodo.org/records
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('justraigs')
samples = ds.load(data_dir, split='train')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)
Citation
- BibTeX
- Plain text
@misc{justraigs,
title = { JustRAIGS: Just Referral AI Glaucoma Screening Dataset },
note = { Thakoor et al., 'JustRAIGS: Justify Your Artificial Intelligence Prediction for Referable or Not Referable Glaucoma Screening', MICCAI 2023. Zenodo: https://zenodo.org/records/10035093 },
year = { 2023 },
url = { https://zenodo.org/records/10035093 },
}
Thakoor et al., 'JustRAIGS: Justify Your Artificial Intelligence Prediction for Referable or Not Referable Glaucoma Screening', MICCAI 2023. Zenodo: https://zenodo.org/records/10035093
Source-stated terms
- Raw source string: CC BY-NC-ND 4.0
- Normalized category:
cc-by-nc-nd - 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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