Skip to main content

ROC: Retinopathy Online Challenge

100 fundus images with microaneurysm annotations from the Retinopathy Online Challenge.

At a glance

FieldValue
Short nameroc
Full nameROC: Retinopathy Online Challenge
Primary categoryfundus
Contained modalitiesfundus
Taskssegmentation, classification
Samples100
Classes2 (Not reported)
Splitstrain, test
Size0.3 GB
Source-stated termsResearch only (free for research, University of Iowa)
Normalized termsresearch-only
Descriptive screening labelResearch or challenge restriction recorded; check source
Terms scopedataset_files
Access frictionanonymous_direct
Route backendManual (upstream-gated)
Availabilityavailable (checked 2026-07-21)
Acquisition supportguided_instructions_only
Legacy sample-loader statusMetadata and access only

Notes

University of Iowa registration form required — no auto path.

Access preflight and acquisition

# Read-only preflight
eyehub download roc --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download roc --data-dir ./data

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

@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/ },
}

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.

  • 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)