OCT5k: Multi-Disease Retinal Layer Annotations
1,672 OCT B-scans from AMD, DME, and healthy controls with 5,016 multi-grader layer annotations + lesion detection labels.
At a glance
| Field | Value |
|---|---|
| Short name | oct5k |
| Full name | OCT5k: Multi-Disease Retinal Layer Annotations |
| Primary category | oct |
| Contained modalities | oct |
| Tasks | segmentation, classification |
| Samples | 1,672 |
| Classes | 8 (Not reported) |
| Splits | all |
| Size | 1.0 GB |
| Source-stated terms | CC0 1.0 |
| Normalized terms | cc0 |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Direct HTTP |
| Availability | available (checked 2026-07-21) |
| Acquisition support | loader_implemented_not_live_tested |
| Legacy sample-loader status | Metadata and access only |
Notes
UCL Research Data Repository — Figshare-backed, free download.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download oct5k --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download oct5k --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('oct5k')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: https://doi.org/10.5522/04/22128671
Source-term evidence: https://doi.org/10.5522/04/22128671
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{oct5k,
title = { OCT5k: Multi-Disease Retinal Layer Annotations },
note = { Morano et al., 'OCT5k: a dataset of multi-disease and multi-graded annotations for retinal layers in OCT images', Scientific Data 2024. doi:10.1038/s41597-024-04259-z },
year = { 2024 },
url = { https://doi.org/10.5522/04/22128671 },
}
Morano et al., 'OCT5k: a dataset of multi-disease and multi-graded annotations for retinal layers in OCT images', Scientific Data 2024. doi:10.1038/s41597-024-04259-z
Source-stated terms
- Raw source string: CC0 1.0
- Normalized category:
cc0 - Apparent scope:
dataset_files - Descriptive screening label: Standard label without an explicit NC clause; not a permission finding
⚠️ 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.
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