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 |
| First published | Unknown |
| Publication date precision | Unknown |
| Publication date evidence | Unknown |
| Publication date source field | Unknown |
| Publication date reviewed | Unknown |
| Primary category | fundus |
| Resource role | current_dataset |
| Dataset family | riga |
| Contained modalities | fundus |
| Tasks | segmentation |
| Primary reported quantity | 750 images |
| 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 | guided_instructions_only |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 750 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | deepblue.lib.umich.edu/data |
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
Deep Blue provides BinRushed, Magrabi, and MESSIDOR components. Its current documentation directs users to Globus for the large MESSIDOR component.
Documented relationships
These links record source-supported lineage or overlap, not merely similar modality tags.
- fundus_domain_generalization is
derived fromthis record: The official description states that the benchmark is based on the original REFUGE images, now represented by the current REFUGE2 record, plus Drishti-GS, ORIGA, and RIGA. (evidence) - riga_plus is
derived fromthis record: RIGA+ is built from RIGA components plus the original MESSIDOR resource after duplicate removal. (evidence)
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download riga --data-dir ./data --dry-run --json
# Download, 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 download
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.
Similar resources by shared modality
- airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 images,
cc-by-nc-nd) - multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images,
mit) - eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs,
unknown) - justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 images,
cc-by-nc-nd) - eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 images,
research-only) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 images,
unknown) - mfiddr: MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy (34,452 images,
mit)