BiDR: Diabetic Retinopathy Diagnosis Dataset

35,126 fundus images for 5-class diabetic retinopathy grading (No DR: 25,810 / Mild: 2,443 / Moderate: 5,292 / Severe: 873 / Proliferative: 708). Available via Kaggle.

At a glance

Field	Value
Short name	bidr
Full name	BiDR: Diabetic Retinopathy Diagnosis Dataset
Primary category	fundus
Contained modalities	fundus
Tasks	grading, classification
Samples	35,126
Classes	5 (No DR, Mild DR, Moderate DR, Severe DR, Proliferative DR)
Splits	train, test
Size	1.0 GB
Source-stated terms	See Kaggle dataset page
Normalized terms	unknown
Descriptive screening label	Unknown or unclear; do not assume permission
Terms scope	unknown
Access friction	self_service_authenticated
Route backend	Kaggle
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Standard loader included

Notes

OVERLAP: BiDR is a Kaggle re-upload of the EyePACS Kaggle 2015 competition TRAIN split (35,126 images). Already in EyeDataHub as eyepacs (full 88,702 train+test) and also as dr_arranged (Tianchi mirror of the same train split). Kept for users who specifically reference the BiDR slug.

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: kaggle.com/datasets

Source-term evidence: kaggle.com/datasets

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

Citation

BibTeX

@misc{bidr,
  title  = { BiDR: Diabetic Retinopathy Diagnosis Dataset },
  note   = { BiDR Dataset. Kaggle. https://www.kaggle.com/datasets/pkdarabi/diagnosis-of-diabetic-retinopathy },
  url    = { https://www.kaggle.com/datasets/pkdarabi/diagnosis-of-diabetic-retinopathy },
}

Plain text

BiDR Dataset. Kaggle. https://www.kaggle.com/datasets/pkdarabi/diagnosis-of-diabetic-retinopathy

Source-stated terms

• Raw source string: See Kaggle dataset page
• Normalized category: unknown
• Apparent scope: unknown
• Descriptive screening label: Unknown or unclear; do not assume permission

⚠️ 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

• airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 records, cc-by-nc-nd)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records, unknown)
• justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 records, cc-by-nc-nd)
• eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 records, research-only)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records, mit)
• angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records, unknown)
• ffa_ir: FFA-IR Medical Report Dataset (47,247 records, unknown)
• dr_arranged: Diabetic Retinopathy Arranged Dataset (Tianchi 93926) (35,126 records, cc-by-nc-sa)