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GRAPE: Glaucoma Real-world Appraisal Progression Ensemble

263 eyes × 1,115 visits. Multi-modal: VF (HFA 24-2), fundus photographs, OCT RNFL, IOP, CCT. Labels: VF progression, OD segmentation, glaucoma stage.

At a glance

FieldValue
Short namegrape
Full nameGRAPE: Glaucoma Real-world Appraisal Progression Ensemble
First published2023-08-02
Publication date precisionday
Publication date evidenceapi.figshare.com/v2
Publication date source fieldcollection.timeline.firstOnline (version 1)
Publication date reviewed2026-09-11
Primary categorymultimodal
Resource rolecurrent_dataset
Dataset familygrape
Contained modalitiesfundus, oct, visual_field, tabular
Tasksregression, segmentation, classification
Primary reported quantity1,115 examinations
Classes2 (Stable, Progressing)
Splitsall
Size1.5 GB
Source-stated termsCC0 1.0
Normalized termscc0
Descriptive screening labelStandard label without an explicit NC clause; not a permission finding
Terms scopedataset_files
Access frictionself_service_authenticated
Route backendFigshare
Availabilityavailable (checked 2026-07-21)
Acquisition supportend_to_end_tested
Legacy sample-loader statusStandard loader included

Reported quantities

RoleCountUnitScopeBasisEvidence
Primary1,115examinationsPrimary quantity reported in the reviewed catalog sourcelegacy_catalog_fieldhttps://doi.org/10.6084/m9.figshare.c.6406319

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

Multi-modal: contains fundus images, VF data, OCT measurements, and clinical metadata. Requires manual download from Figshare.

Access information and download

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

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

Upstream page: https://doi.org/10.6084/m9.figshare.c.6406319

Source-term evidence: https://doi.org/10.6084/m9.figshare.c.6406319

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

Citation

@misc{grape,
title = { GRAPE: Glaucoma Real-world Appraisal Progression Ensemble },
note = { Wen et al., 'GRAPE: A multi-modal dataset for glaucoma progression ',Figshare collection 2022 },
year = { 2022 },
url = { https://doi.org/10.6084/m9.figshare.c.6406319 },
}

Source-stated terms

  • Raw source string: CC0 1.0
  • 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.

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