Tsukazaki Hospital UWF Fundus Dataset

13,047 ultra-widefield fundus photographs (Optos, 200° FOV) from Tsukazaki Hospital, annotated with 8 binary disease labels: AO, AMD, DR, Glaucoma, MH, RD, RP, RVO. Associated with Scientific Data 2024.

At a glance

Field	Value
Short name	tsukazaki_uwf
Full name	Tsukazaki Hospital UWF Fundus Dataset
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	uwf_fundus
Resource role	current_dataset
Dataset family	tsukazaki_uwf
Contained modalities	uwf_fundus
Tasks	multilabel, classification
Primary reported quantity	13,047 images
Classes	8 (AO, AMD, DR, Gla, MH, RD, RP, RVO)
Splits	train, test
Size	15.0 GB
Source-stated terms	Research only — contact authors for data access
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	author_contact
Route backend	GitHub
Availability	available (checked 2026-07-21)
Acquisition support	manual_access_blocked
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	13,047	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	github.com/DateCazuki

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

Full dataset is subject to Japanese export restrictions. Contact the authors for access. A public subset may be available via the GitHub repo or linked Figshare.

Access information and download

CLI

# This route requires upstream human action; no transfer starts.
eyehub download tsukazaki_uwf --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.

Python

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

ds = REGISTRY.get_dataset('tsukazaki_uwf')
print(preflight_dataset(ds, './data'))  # returns manual_access_blocked

Upstream page: github.com/DateCazuki

Source-term evidence: github.com/DateCazuki

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('tsukazaki_uwf')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{tsukazaki_uwf,
  title  = { Tsukazaki Hospital UWF Fundus Dataset },
  note   = { Nagasawa T et al., 'Automatic detection of multiple retinal diseases in ultra-widefield fundus images using deep learning', Nature Machine Intelligence 2022. https://www.nature.com/articles/s42256-022-00566-5 — Data: https://github.com/DateCazuki/Fundus_Diagnosis },
  year   = { 2022 },
  url    = { https://github.com/DateCazuki/Fundus_Diagnosis },
}

Plain text

Nagasawa T et al., 'Automatic detection of multiple retinal diseases in ultra-widefield fundus images using deep learning', Nature Machine Intelligence 2022. https://www.nature.com/articles/s42256-022-00566-5 — Data: https://github.com/DateCazuki/Fundus_Diagnosis

Source-stated terms

• Raw source string: Research only — contact authors for data access
• Normalized category: research-only
• Apparent scope: dataset_files
• Descriptive screening label: Research or challenge restriction recorded; check source

⚠️ 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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