EyePACS — Diabetic Retinopathy Detection (Kaggle 2015)

~88,000 fundus images graded 0–4 for DR severity. Largest public DR dataset; competition images from EyePACS clinics.

At a glance

Field	Value
Short name	eyepacs
Full name	EyePACS — Diabetic Retinopathy Detection (Kaggle 2015)
First published	2015-02-17
Publication date precision	day
Publication date evidence	kaggle.com/c
Publication date source field	Kaggle competition Overview: Start
Publication date reviewed	2026-09-11
Primary category	fundus
Resource role	current_dataset
Dataset family	eyepacs
Contained modalities	fundus
Tasks	grading, classification
Primary reported quantity	88,702 images
Classes	5 (No DR, Mild, Moderate, Severe, Proliferative DR)
Splits	train, test
Size	89.0 GB
Source-stated terms	Kaggle competition rules (non-commercial research)
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	challenge_participation
Access friction	self_service_clickthrough
Route backend	Kaggle
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	88,702	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	kaggle.com/c

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

Very large (~89 GB). Kaggle competition account and acceptance of rules required. BiDR and Tianchi 93926 are unmodified repackages of the 35,126-image training split and are recorded below as alternate routes rather than separate datasets.

Documented relationships

These links record source-supported lineage or overlap, not merely similar modality tags.

• eyeq is derived from this record: EyeQ provides quality labels for 28,792 images from the EyePACS train and test partitions. (evidence)
• mm_retinal_reason is derived from this record: The version-pinned official dataset card lists this record among the CFP or OCT sources used to construct MM-Retinal-Reason. (evidence)
• multieye is derived from this record: The MultiEYE paper names this record as one of the public fundus or OCT sources assembled for the benchmark. (evidence)
• x_pcr is derived from this record: Source labels in the version-pinned public X-PCR deposit identify this catalog record as upstream material. (evidence)

Access information and download

CLI

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

# Download, only when preflight reports supported behavior
eyehub download eyepacs --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('eyepacs')
print(preflight_dataset(ds, './data'))  # no download

Upstream page: kaggle.com/c

Other documented locations

These links identify alternate deposits, components, metadata records, mirrors, versions, or related derived materials. They do not create additional canonical catalog records.

• kaggle: repository copy (pkdarabi/diagnosis-of-diabetic-retinopathy): BiDR repackage of the 35,126-image EyePACS training split; not counted as a separate catalog record.
• tianchi: repository copy (93926): Arranged mirror of the same 35,126-image EyePACS training split; not counted as a separate catalog record.

Source-term evidence: kaggle.com/c

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

Citation

BibTeX

@misc{eyepacs,
  title  = { EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) },
  note   = { EyePACS / California Healthcare Foundation. 'Diabetic Retinopathy Detection', Kaggle Competition, 2015 },
  year   = { 2015 },
  url    = { https://www.kaggle.com/c/diabetic-retinopathy-detection },
}

Plain text

EyePACS / California Healthcare Foundation. 'Diabetic Retinopathy Detection', Kaggle Competition, 2015.

Source-stated terms

• Raw source string: Kaggle competition rules (non-commercial research)
• Normalized category: research-only
• Apparent scope: challenge_participation
• 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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