Cataract Fundus Classification Dataset

601 fundus images in 4 classes: Normal, Cataract, Glaucoma, and Retina Disease. Intended for ocular disease classification.

At a glance

Field	Value
Short name	cataract
Full name	Cataract Fundus Classification Dataset
First published	2019-08-23
Publication date precision	day
Publication date evidence	kaggle.com/api
Publication date source field	versions[1].creationDate (version 1, Initial release)
Publication date reviewed	2026-09-11
Primary category	fundus
Resource role	current_dataset
Dataset family	cataract
Contained modalities	fundus
Tasks	classification
Primary reported quantity	601 images
Classes	4 (Normal, Cataract, Glaucoma, Retina Disease)
Splits	train
Size	0.1 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

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	601	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	kaggle.com/datasets

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.

Access information and download

CLI

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

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

Python

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

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

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

Citation

BibTeX

@misc{cataract,
  title  = { Cataract Fundus Classification Dataset },
  note   = { Kaggle dataset by jr2ngb (2019). https://www.kaggle.com/datasets/jr2ngb/cataractdataset },
  year   = { 2019 },
  url    = { https://www.kaggle.com/datasets/jr2ngb/cataractdataset },
}

Plain text

Kaggle dataset by jr2ngb (2019). https://www.kaggle.com/datasets/jr2ngb/cataractdataset

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.

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