OculoScope: Fairer AI in Ophthalmology Dataset
16,530 ultra-widefield fundus images from 8,405+ patients (age 0–90) annotated for 38 ophthalmic diseases and 67 fundus features. Released alongside the FairerOPTH study on sexism and ageism in ophthalmic AI (Nature Communications 2024).
At a glance
| Field | Value |
|---|---|
| Short name | oculoscope |
| Full name | OculoScope: Fairer AI in Ophthalmology Dataset |
| First published | 2023-12-03 |
| Publication date precision | day |
| Publication date evidence | zenodo.org/api |
| Publication date source field | metadata.publication_date (author Zenodo dataset record) |
| Publication date reviewed | 2026-09-11 |
| Primary category | uwf_fundus |
| Resource role | current_dataset |
| Dataset family | oculoscope |
| Contained modalities | uwf_fundus, tabular |
| Tasks | classification, multilabel |
| Primary reported quantity | 16,530 images |
| Classes | 38 (Not reported) |
| Splits | train, test |
| Size | 20.0 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 | self_service_authenticated |
| Route backend | Figshare |
| Availability | available (checked 2026-07-21) |
| Acquisition support | guided_instructions_only |
| Legacy sample-loader status | Standard loader included |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 16,530 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | Figshare private-share page |
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
Also annotates 67 fine-grained fundus features in addition to 38 disease-level labels. Full class list in dataset CSV.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download oculoscope --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download oculoscope --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('oculoscope')
print(preflight_dataset(ds, './data')) # no download
Upstream page: Figshare private-share page
Source-term evidence: Figshare private-share page
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('oculoscope')
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{oculoscope,
title = { OculoScope: Fairer AI in Ophthalmology Dataset },
note = { FairerOPTH Study — OculoScope Dataset. Nature Communications 2024. https://www.nature.com/articles/s41467-024-48972-0 — Data: https://figshare.com/s/926c2c2ef9e77ab5eb9d },
year = { 2024 },
url = { https://figshare.com/s/926c2c2ef9e77ab5eb9d },
}
FairerOPTH Study — OculoScope Dataset. Nature Communications 2024. https://www.nature.com/articles/s41467-024-48972-0 — Data: https://figshare.com/s/926c2c2ef9e77ab5eb9d
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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