ROC: Retinopathy Online Challenge
100 fundus images with microaneurysm annotations from the Retinopathy Online Challenge.
At a glance
| Field | Value |
|---|---|
| Short name | roc |
| Full name | ROC: Retinopathy Online Challenge |
| 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 | roc |
| Contained modalities | fundus |
| Tasks | segmentation, classification |
| Primary reported quantity | 100 images |
| Classes | 2 (Not reported) |
| Splits | train, test |
| Size | 0.3 GB |
| Source-stated terms | Research only (free for research, University of Iowa) |
| Normalized terms | research-only |
| Descriptive screening label | Research or challenge restriction recorded; check source |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Manual (upstream-gated) |
| 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 | 100 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | webeye.ophth.uiowa.edu/ROC |
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
University of Iowa registration form required — no auto path.
Documented relationships
These links record source-supported lineage or overlap, not merely similar modality tags.
- mm_retinal_reason is
derived fromthis record: The version-pinned official dataset card lists this record among the CFP or OCT sources used to construct MM-Retinal-Reason. (evidence)
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download roc --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download roc --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('roc')
print(preflight_dataset(ds, './data')) # no download
Upstream page: webeye.ophth.uiowa.edu/ROC
Source-term evidence: webeye.ophth.uiowa.edu/ROC
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{roc,
title = { ROC: Retinopathy Online Challenge },
note = { Niemeijer et al., 'Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs', IEEE TMI 2010 },
year = { 2010 },
url = { http://webeye.ophth.uiowa.edu/ROC/ },
}
Niemeijer et al., 'Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs', IEEE TMI 2010.
Source-stated terms
- Raw source string: Research only (free for research, University of Iowa)
- Normalized category:
research-only - Apparent scope:
dataset_files - 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.
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)