PAPILA: Glaucoma Fundus Dataset with Clinical Data
488 fundus images from 244 patients (both eyes). Expert OD/OC segmentation, glaucoma stage, IOP, and clinical metadata.
At a glance
| Field | Value |
|---|---|
| Short name | papila |
| Full name | PAPILA: Glaucoma Fundus Dataset with Clinical Data |
| Primary category | fundus |
| Contained modalities | fundus, tabular |
| Tasks | classification, segmentation |
| Samples | 488 |
| Classes | 3 (Healthy, Glaucoma suspect, Glaucoma) |
| Splits | all |
| Size | 0.4 GB |
| Source-stated terms | CC BY 4.0 |
| Normalized terms | cc-by |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Direct HTTP |
| Availability | available (checked 2026-07-21) |
| Acquisition support | guided_instructions_only |
| Legacy sample-loader status | Standard loader included |
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download papila --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download papila --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('papila')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: zenodo.org/records
Source-term evidence: zenodo.org/records
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('papila')
samples = ds.load(data_dir, split='all')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)
Citation
- BibTeX
- Plain text
@misc{papila,
title = { PAPILA: Glaucoma Fundus Dataset with Clinical Data },
note = { Kovalyk et al., 'PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment', Scientific Data 2022 },
year = { 2022 },
url = { https://zenodo.org/records/6379970 },
}
Kovalyk et al., 'PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment', Scientific Data 2022.
Source-stated terms
- Raw source string: CC BY 4.0
- Normalized category:
cc-by - 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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