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Fundus-AVSeg: Artery-Vein-Crossing Segmentation

100 high-resolution color fundus images with pixel-wise artery / vein / crossing labels from a mixed disease cohort.

At a glance

FieldValue
Short namefundus_avseg
Full nameFundus-AVSeg: Artery-Vein-Crossing Segmentation
Primary categoryfundus
Contained modalitiesfundus
Taskssegmentation
Samples100
Classes4 (background, artery, vein, crossing)
Splitsall
Size0.5 GB
Source-stated termsCC BY 4.0
Normalized termscc-by
Descriptive screening labelStandard label without an explicit NC clause; not a permission finding
Terms scopedataset_files
Access frictionanonymous_direct
Route backendFigshare
Availabilityavailable (checked 2026-07-21)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Access preflight and acquisition

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

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

Upstream page: https://doi.org/10.6084/m9.figshare.27938034

Source-term evidence: https://doi.org/10.6084/m9.figshare.27938034

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

@misc{fundus_avseg,
title = { Fundus-AVSeg: Artery-Vein-Crossing Segmentation },
note = { Fundus-AVSeg dataset, Figshare project 229986 (2025). Companion paper: Basit & Alam, 'AVSeg-XAI', BioData Mining, doi:10.1186/s13040-026-00573-x (2026). Sci. Data DOI 10.1038/s41597-025-05381-2 was the paper venue at time of indexing — verify at final publication },
year = { 2025 },
url = { https://doi.org/10.6084/m9.figshare.27938034 },
}

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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  • eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 records, research-only)
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  • angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records, unknown)
  • ffa_ir: FFA-IR Medical Report Dataset (47,247 records, unknown)
  • bidr: BiDR: Diabetic Retinopathy Diagnosis Dataset (35,126 records, unknown)