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
Primary category	octa
Contained modalities	octa, text, tabular
Tasks	segmentation, classification, progression_analysis
Samples	178
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	anonymous_direct
Route backend	Figshare
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Metadata and access only

Notes

The six source-reported longitudinal subsets total 178 samples. The release includes raw images, vessel annotations, and clinical text.

Access preflight and acquisition

CLI

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

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

Python

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

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

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

@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 },
}

Plain text

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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