RETA Benchmark for Retinal Vascular Tree Analysis

Retinal vessel analysis benchmark with vessel masks, artery/vein masks and skeletons, bifurcation points, vascular trees, and abnormality annotations.

At a glance

Field	Value
Short name	reta_benchmark
Full name	RETA Benchmark for Retinal Vascular Tree Analysis
Publication date	2022-05-16
Date basis	Initial dataset release
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
Date notes	Figshare v2 API versions list v1 as earliest public version.
Primary category	fundus
Resource role	annotation_layer
Dataset family	reta_benchmark
Contained modalities	fundus
Tasks	segmentation, vessel_analysis
Primary reported quantity	81 images
Classes	Not reported (Not reported)
Splits	all
Size	0.84 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	81	images	IDRiD-derived images with vascular-tree annotations	official_source_description	https://doi.org/10.6084/m9.figshare.16960855

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

RETA inherits the 81 images from the first subset of IDRiD and adds retinal vascular-tree annotations; keep it separate as an annotation/benchmark layer, not an independent imaging cohort.

Documented relationships

These links record source-supported lineage or overlap, not merely similar modality tags.

• This record is derived from idrid: RETA reuses 81 images from the first IDRiD subset and adds vascular-tree annotations. (evidence)

Access information and download

CLI

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

# Download, only when preflight reports supported behavior
eyehub download reta_benchmark --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('reta_benchmark')
print(preflight_dataset(ds, './data'))  # no download

Upstream page: https://doi.org/10.6084/m9.figshare.16960855

Source-term evidence: https://doi.org/10.6084/m9.figshare.16960855

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{reta_benchmark,
  title  = { RETA Benchmark for Retinal Vascular Tree Analysis },
  note   = { Lyu X, Cheng L, Zhang S. The RETA Benchmark for Retinal Vascular Tree Analysis. Scientific Data. 2022;9:397. doi:10.1038/s41597-022-01507-y },
  year   = { 2022 },
  url    = { https://doi.org/10.6084/m9.figshare.16960855 },
}

Plain text

Lyu X, Cheng L, Zhang S. The RETA Benchmark for Retinal Vascular Tree Analysis. Scientific Data. 2022;9:397. doi:10.1038/s41597-022-01507-y

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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