OCTA-500: Large-scale OCTA Multi-task Benchmark
500 subjects with OCTA volumes, vessel segmentation, FAZ (foveal avascular zone) annotations, and layer segmentation. Largest public OCTA dataset.
At a glance
| Field | Value |
|---|---|
| Short name | octa_500 |
| Full name | OCTA-500: Large-scale OCTA Multi-task Benchmark |
| First published | Unknown |
| Publication date precision | Unknown |
| Publication date evidence | Unknown |
| Publication date source field | Unknown |
| Publication date reviewed | Unknown |
| Primary category | octa |
| Resource role | current_dataset |
| Dataset family | octa_500 |
| Contained modalities | octa |
| Tasks | segmentation, classification |
| Primary reported quantity | 500 participants |
| Classes | 4 (Not reported) |
| Splits | train, val, test |
| Size | 70.0 GB |
| Source-stated terms | IEEE DataPort Open Access (research only) |
| Normalized terms | research-only |
| Descriptive screening label | Research or challenge restriction recorded; check source |
| Terms scope | dataset_files |
| Access friction | author_contact |
| Route backend | Manual (upstream-gated) |
| Availability | available (checked 2026-07-21) |
| Acquisition support | manual_access_blocked |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 500 | participants | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | ieee-dataport.org/open-access |
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
IEEE login + password-protected zip — email [email protected] for the unlock password.
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
# This route requires upstream human action; no transfer starts.
eyehub download octa_500 --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('octa_500')
print(preflight_dataset(ds, './data')) # returns manual_access_blocked
Upstream page: ieee-dataport.org/open-access
Source-term evidence: ieee-dataport.org/open-access
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{octa_500,
title = { OCTA-500: Large-scale OCTA Multi-task Benchmark },
note = { Li et al., 'OCTA-500: A retinal dataset for optical coherence tomography angiography study', Medical Image Analysis 2024 },
year = { 2024 },
url = { https://ieee-dataport.org/open-access/octa-500 },
}
Li et al., 'OCTA-500: A retinal dataset for optical coherence tomography angiography study', Medical Image Analysis 2024.
Source-stated terms
- Raw source string: IEEE DataPort Open Access (research only)
- 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.
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