ODIR-2019: Ocular Disease Intelligent Recognition
8000 patients (16000 fundus images, left + right eye) with 8 disease labels for multi-label ocular disease classification.
At a glance
| Field | Value |
|---|---|
| Short name | odir2019 |
| Full name | ODIR-2019: Ocular Disease Intelligent Recognition |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | multilabel, classification |
| Samples | 8,000 |
| Classes | 8 (Normal, Diabetes, Glaucoma, Cataract, AMD, Hypertension, Myopia, Other) |
| Splits | train, test |
| Size | 3.5 GB |
| Source-stated terms | CC BY-SA 4.0 |
| Normalized terms | cc-by-sa |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| 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 |
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download odir2019 --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download odir2019 --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('odir2019')
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('odir2019')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)
Citation
- BibTeX
- Plain text
@misc{odir2019,
title = { ODIR-2019: Ocular Disease Intelligent Recognition },
note = { Li et al., 'An Annotation-Free Restoration Network for Cataractous Fundus Images', arXiv 2021 },
year = { 2021 },
url = { https://www.kaggle.com/datasets/andrewmvd/ocular-disease-recognition-odir5k },
}
Li et al., 'An Annotation-Free Restoration Network for Cataractous Fundus Images', arXiv 2021.
Source-stated terms
- Raw source string: CC BY-SA 4.0
- Normalized category:
cc-by-sa - Apparent scope:
dataset_files - Descriptive screening label: Standard label without an explicit NC clause; not a permission finding
⚠️ 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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