DDR: Diabetic Retinopathy Detection & Grading

12522 fundus images with DR grading (0-5) and lesion-level segmentation annotations.

At a glance

Field	Value
Short name	ddr
Full name	DDR: Diabetic Retinopathy Detection & Grading
Primary category	fundus
Contained modalities	fundus
Tasks	grading, classification
Samples	12,522
Classes	6 (No DR, Mild, Moderate, Severe, Proliferative, Ungradable)
Splits	train, valid, test
Size	4.0 GB
Source-stated terms	MIT
Normalized terms	mit
Descriptive screening label	Standard label without an explicit NC clause; verify that it applies to data
Terms scope	unknown
Access friction	anonymous_direct
Route backend	Google Drive
Availability	available (checked 2026-07-21)
Acquisition support	loader_implemented_not_live_tested
Legacy sample-loader status	Standard loader included

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: drive.google.com/drive

Source-term evidence: drive.google.com/drive

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

Citation

BibTeX

@misc{ddr,
  title  = { DDR: Diabetic Retinopathy Detection & Grading },
  note   = { Li et al., 'Diagnostic Assessment of Deep Learning Algorithms for Diabetic Retinopathy Screening', Information Sciences 2019. Data: https://github.com/nkicsl/DDR-dataset — GDrive: https://drive.google.com/drive/folders/1z6tSFmxW_aNayUqVxx6h6bY4kwGzUTEC },
  year   = { 2019 },
  url    = { https://drive.google.com/drive/folders/1z6tSFmxW_aNayUqVxx6h6bY4kwGzUTEC },
}

Plain text

Li et al., 'Diagnostic Assessment of Deep Learning Algorithms for Diabetic Retinopathy Screening', Information Sciences 2019. Data: https://github.com/nkicsl/DDR-dataset — GDrive: https://drive.google.com/drive/folders/1z6tSFmxW_aNayUqVxx6h6bY4kwGzUTEC

Source-stated terms

• Raw source string: MIT
• Normalized category: mit
• Apparent scope: unknown
• Descriptive screening label: Standard label without an explicit NC clause; verify that it applies to data

⚠️ 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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