FARFUM-ROP: Fundus Annotation Repository for Retinopathy of Prematurity

Wide-field fundus images from premature infants for ROP staging (Stages 1–5 + Plus Disease). Expert-annotated for AI-assisted ROP diagnosis and screening.

At a glance

Field	Value
Short name	farfum_rop
Full name	FARFUM-ROP: Fundus Annotation Repository for Retinopathy of Prematurity
Primary category	fundus
Contained modalities	fundus
Tasks	classification
Samples	1,533
Classes	3 (Normal, Pre-Plus, Plus)
Splits	train, test
Size	1.0 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	Standard loader included

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: https://doi.org/10.6084/m9.figshare.c.6721269

Source-term evidence: https://doi.org/10.6084/m9.figshare.c.6721269

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('farfum_rop')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{farfum_rop,
  title  = { FARFUM-ROP: Fundus Annotation Repository for Retinopathy of Prematurity },
  note   = { Riazi-Esfahani H et al., 'FARFUM-RoP: A dataset for machine learning-based plus disease diagnosis in retinopathy of prematurity', Scientific Data 2024. https://doi.org/10.6084/m9.figshare.c.6721269 },
  year   = { 2024 },
  url    = { https://doi.org/10.6084/m9.figshare.c.6721269 },
}

Plain text

Riazi-Esfahani H et al., 'FARFUM-RoP: A dataset for machine learning-based plus disease diagnosis in retinopathy of prematurity', Scientific Data 2024. https://doi.org/10.6084/m9.figshare.c.6721269

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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