ROCC: Retinal OCT Classification Challenge

Grand Challenge OCT classification dataset for diabetic-retinopathy related OCT classification.

At a glance

Field	Value
Short name	rocc
Full name	ROCC: Retinal OCT Classification Challenge
Primary category	oct
Contained modalities	oct
Tasks	classification
Samples	165
Classes	Not reported (Not reported)
Splits	all
Size	Not reported
Source-stated terms	Research only (Grand Challenge terms)
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	challenge_participation
Access friction	self_service_clickthrough
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Metadata and access only

Notes

Grand Challenge account and challenge terms apply.

Access preflight and acquisition

CLI

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

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

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('rocc')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: rocc.grand-challenge.org

Source-term evidence: rocc.grand-challenge.org

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

@misc{rocc,
  title  = { ROCC: Retinal OCT Classification Challenge },
  note   = { Retinal OCT Classification Challenge (ROCC). Grand Challenge, 2017 },
  year   = { 2017 },
  url    = { https://rocc.grand-challenge.org/ },
}

Plain text

Retinal OCT Classification Challenge (ROCC). Grand Challenge, 2017.

Source-stated terms

• Raw source string: Research only (Grand Challenge terms)
• Normalized category: research-only
• Apparent scope: challenge_participation
• 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

• syn_oct: SYN-OCT Synthetic Glaucoma OCT Dataset (200,000 records, cc-by)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records, unknown)
• kermany_oct: Kermany OCT 2018: Retinal OCT Image Classification (84,484 records, cc-by)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records, mit)
• lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records, unknown)
• harvard_fairvision: Harvard-FairVision (AMD + DR + Glaucoma, paired SLO + OCT) (30,000 records, cc-by-nc-nd)
• mario: MARIO: AMD-Progression Longitudinal OCT (MICCAI 2024) (30,000 records, cc-by)
• mmrdr: MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset (24,460 records, cc-by)