Natural Robustness Benchmark for Retinal Vessel Segmentation

Augmented DRIVE, STARE, and CHASE_DB1 vessel-segmentation images for out-of-distribution robustness evaluation.

At a glance

Field	Value
Short name	retinal_vessel_robustness
Full name	Natural Robustness Benchmark for Retinal Vessel Segmentation
Primary category	fundus
Contained modalities	fundus
Tasks	segmentation
Samples	Not reported
Classes	Not reported (Not reported)
Splits	all
Size	8.15 GB
Source-stated terms	MIT
Normalized terms	mit
Descriptive screening label	Standard label without an explicit NC clause; verify that it applies to data
Terms scope	unknown
Access friction	anonymous_direct
Route backend	Zenodo
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Metadata and access only

Notes

Derivative robustness benchmark from existing vessel datasets.

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: zenodo.org/records

Source-term evidence: zenodo.org/records

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{retinal_vessel_robustness,
  title  = { Natural Robustness Benchmark for Retinal Vessel Segmentation },
  note   = { Evaluation benchmark for natural robustness evaluation of retinal vessel segmentation models. Zenodo, 2024. doi:10.5281/zenodo.12659652 },
  year   = { 2024 },
  url    = { https://zenodo.org/records/12659652 },
}

Plain text

Evaluation benchmark for natural robustness evaluation of retinal vessel segmentation models. Zenodo, 2024. doi:10.5281/zenodo.12659652

Source-stated terms

• Raw source string: MIT
• Normalized category: mit
• Apparent scope: unknown
• Descriptive screening label: Standard label without an explicit NC clause; verify that it applies to data

⚠️ 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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