RIGA: Retinal Fundus Images for Glaucoma Analysis
750 fundus images with optic disc and optic cup segmentations from 6 ophthalmologists per image. Multi-rater benchmark.
At a glance
| Field | Value |
|---|---|
| Short name | riga |
| Full name | RIGA: Retinal Fundus Images for Glaucoma Analysis |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | segmentation |
| Samples | 750 |
| Classes | 3 (background, optic_disc, optic_cup) |
| Splits | all |
| Size | 2.0 GB |
| Source-stated terms | CC BY-NC 4.0 |
| Normalized terms | cc-by-nc |
| Descriptive screening label | Explicit noncommercial clause recorded; check source |
| 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 | Metadata and access only |
Notes
Three sub-archives (BinRushed, Magrabi, MESSIDOR). The MESSIDOR sub-archive is large; if download fails, try the Academic Torrents mirror (infohash eb9dd9216a1c9a622250ad70a400204e7531196d).
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download riga --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download riga --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('riga')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: deepblue.lib.umich.edu/data
Source-term evidence: deepblue.lib.umich.edu/data
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
- Plain text
@misc{riga,
title = { RIGA: Retinal Fundus Images for Glaucoma Analysis },
note = { Almazroa et al., 'Retinal Fundus Images for Glaucoma Analysis: The RIGA Dataset', J. Medical Imaging 2018 },
year = { 2018 },
url = { https://deepblue.lib.umich.edu/data/concern/data_sets/3b591905z },
}
Almazroa et al., 'Retinal Fundus Images for Glaucoma Analysis: The RIGA Dataset', J. Medical Imaging 2018.
Source-stated terms
- Raw source string: CC BY-NC 4.0
- Normalized category:
cc-by-nc - 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.
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)