RBAD Retinal Branching-Angle Detection Benchmark
Fundus-image benchmark with retinal vessel branching-angle annotations for evaluating branching-angle detection and measurement algorithms.
At a glance
| Field | Value |
|---|---|
| Short name | rbad |
| Full name | RBAD Retinal Branching-Angle Detection Benchmark |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | landmark_detection, measurement |
| Samples | 40 |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | ASU non-commercial research license |
| Normalized terms | research-only |
| Descriptive screening label | Research or challenge restriction recorded; check source |
| Terms scope | unknown |
| Access friction | anonymous_direct |
| Route backend | GitHub |
| Availability | available (checked 2026-07-21) |
| Acquisition support | loader_implemented_not_live_tested |
| Legacy sample-loader status | Metadata and access only |
Notes
Repository provides 40 benchmark images and annotations under an academic non-commercial license from Arizona Board of Regents; verify terms before redistribution or commercial use.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download rbad --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download rbad --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('rbad')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: github.com/Retinal-Research
Source-term evidence: github.com/Retinal-Research
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{rbad,
title = { RBAD Retinal Branching-Angle Detection Benchmark },
note = { Yu F, Yu S, Ma S, Williams MA, Yu H. RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection. IEEE BHI. 2024. doi:10.1109/BHI62660.2024.10913865 },
year = { 2024 },
url = { https://github.com/Retinal-Research/RBAD },
}
Yu F, Yu S, Ma S, Williams MA, Yu H. RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection. IEEE BHI. 2024. doi:10.1109/BHI62660.2024.10913865
Source-stated terms
- Raw source string: ASU non-commercial research license
- Normalized category:
research-only - Apparent scope:
unknown - Descriptive screening label: Research or challenge restriction 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)