SOUL: OCTA Human-Machine Collaborative Annotation Dataset
Longitudinal OCT angiography projection maps with vessel labels, clinical text, and treatment/follow-up groupings.
At a glance
| Field | Value |
|---|---|
| Short name | soul_octa |
| Full name | SOUL: OCTA Human-Machine Collaborative Annotation Dataset |
| First published | 2023-12-22 |
| Publication date precision | day |
| Publication date evidence | api.figshare.com/v2 |
| Publication date source field | published_date (Figshare version 1) |
| Publication date reviewed | 2026-09-11 |
| Primary category | octa |
| Resource role | current_dataset |
| Dataset family | soul_octa |
| Contained modalities | octa, text, tabular |
| Tasks | segmentation, classification, progression_analysis |
| Primary reported quantity | 178 longitudinal samples |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.113 GB |
| Source-stated terms | CC BY 4.0 |
| Normalized terms | cc-by |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | self_service_authenticated |
| Route backend | Figshare |
| Availability | available (checked 2026-07-21) |
| Acquisition support | end_to_end_tested |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 178 | longitudinal_samples | Six source-reported longitudinal subsets The current archive contains 2,046 JPG assets including raw images and corresponding labels; these are not 2,046 independent samples. | official_source_description | https://doi.org/10.6084/m9.figshare.24893358.v3 |
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
The six source-reported longitudinal subsets total 178 samples. The release includes raw images, vessel annotations, and clinical text.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download soul_octa --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download soul_octa --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('soul_octa')
print(preflight_dataset(ds, './data')) # no download
Upstream page: https://doi.org/10.6084/m9.figshare.24893358.v3
Source-term evidence: https://doi.org/10.6084/m9.figshare.24893358.v3
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{soul_octa,
title = { SOUL: OCTA Human-Machine Collaborative Annotation Dataset },
note = { Xue J, Feng Z, Zeng L, et al. Soul: An OCTA dataset based on Human Machine Collaborative Annotation Framework. Scientific Data. 2024;11. doi:10.1038/s41597-024-03665-7 },
year = { 2024 },
url = { https://doi.org/10.6084/m9.figshare.24893358.v3 },
}
Xue J, Feng Z, Zeng L, et al. Soul: An OCTA dataset based on Human Machine Collaborative Annotation Framework. Scientific Data. 2024;11. doi:10.1038/s41597-024-03665-7
Source-stated terms
- Raw source string: CC BY 4.0
- Normalized category:
cc-by - 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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