DRTiD: Diabetic Retinopathy Two-field Image Dataset

3,100 paired two-field fundus images with DR grading labels. Only public two-field paired DR benchmark.

At a glance

Field	Value
Short name	drtid
Full name	DRTiD: Diabetic Retinopathy Two-field Image Dataset
Primary category	fundus
Contained modalities	fundus
Tasks	grading, classification
Samples	3,100
Classes	5 (Not reported)
Splits	train, test
Size	3.0 GB
Source-stated terms	Research only (application form)
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	controlled_or_manual
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	manual_access_blocked
Legacy sample-loader status	Metadata and access only

Notes

Wenjuanxing application form — no auto path.

Access preflight and acquisition

CLI

# This route requires upstream human action; no transfer starts.
eyehub download drtid --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('drtid')
print(preflight_dataset(ds, './data'))  # returns manual_access_blocked

Upstream page: github.com/FDU-VTS

Source-term evidence: github.com/FDU-VTS

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{drtid,
  title  = { DRTiD: Diabetic Retinopathy Two-field Image Dataset },
  note   = { Hou et al., 'Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images', IEEE BIBM 2022. arXiv:2211.14552 },
  year   = { 2022 },
  url    = { https://github.com/FDU-VTS/DRTiD },
}

Plain text

Hou et al., 'Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images', IEEE BIBM 2022. arXiv:2211.14552

Source-stated terms

• Raw source string: Research only (application form)
• 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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