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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

FieldValue
Short nameriga
Full nameRIGA: Retinal Fundus Images for Glaucoma Analysis
Primary categoryfundus
Contained modalitiesfundus
Taskssegmentation
Samples750
Classes3 (background, optic_disc, optic_cup)
Splitsall
Size2.0 GB
Source-stated termsCC BY-NC 4.0
Normalized termscc-by-nc
Descriptive screening labelExplicit noncommercial clause recorded; check source
Terms scopedataset_files
Access frictionanonymous_direct
Route backendDirect HTTP
Availabilityavailable (checked 2026-07-21)
Acquisition supportloader_implemented_not_live_tested
Legacy sample-loader statusMetadata 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

# 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

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

@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 },
}

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.

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  • 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)