PRIME-FP20: Ultra-Widefield Vessel Segmentation

15 ultra-widefield (Optos) fundus images with pixel-level vessel segmentation ground truth.

At a glance

Field	Value
Short name	prime_fp20
Full name	PRIME-FP20: Ultra-Widefield Vessel Segmentation
Primary category	uwf_fundus
Contained modalities	uwf_fundus
Tasks	segmentation
Samples	15
Classes	2 (background, vessel)
Splits	all
Size	0.5 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	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Metadata and access only

Notes

IEEE DataPort free account login required.

Access preflight and acquisition

CLI

# Read-only preflight
eyehub download prime_fp20 --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download prime_fp20 --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('prime_fp20')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: ieee-dataport.org/open-access

Source-term evidence: ieee-dataport.org/open-access

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{prime_fp20,
  title  = { PRIME-FP20: Ultra-Widefield Vessel Segmentation },
  note   = { Ding et al., 'A Novel Deep Learning Pipeline for Retinal Vessel Detection in Fluorescein Angiography', IEEE TMI 2021 },
  year   = { 2021 },
  url    = { https://ieee-dataport.org/open-access/prime-fp20-ultra-widefield-fundus-photography-vessel-segmentation-dataset },
}

Plain text

Ding et al., 'A Novel Deep Learning Pipeline for Retinal Vessel Detection in Fluorescein Angiography', IEEE TMI 2021.

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.

Related datasets with shared modalities

• mmrdr: MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset (24,460 records, cc-by)
• oculoscope: OculoScope: Fairer AI in Ophthalmology Dataset (16,530 records, cc-by)
• tsukazaki_uwf: Tsukazaki Hospital UWF Fundus Dataset (13,047 records, research-only)
• birdshot_wide: Birdshot-WIDE Widefield Fundus Dataset (6,352 records, cc-by)
• deepdrid: DeepDRiD: Diabetic Retinopathy Grading and Image Quality Dataset (2,256 records, cc-by-sa)
• uwf_tumor: UWF Fundus Intraocular Tumor Dataset (2,031 records, cc-by)
• uwf_dr_peng: UWF Fundus DR Dataset (Peng et al., 2026) (1,630 records, cc-by)
• uwf_zhejiang: Open UWF Fundus Dataset with Disease + Quality Labels (700 records, cc-by)