HF-native, viewer-ready object-detection versions of camera-trap datasets from the Labeled Information Library of Alexandria: Biology and Conservation (LILA BC).
⚠️ This is an unofficial community mirror — not affiliated with or endorsed by LILA BC. All datasets retain their original CDLA-Permissive-1.0 license and citations. LILA maintainers are warmly welcome to adopt, rename, or take ownership of this org.
The datasets are materialised into parquet so that:
This complements the existing LILA presence on the Hub rather than competing with it:
| Repo | Role |
|---|---|
society-ethics/lila_camera_traps |
comprehensive streaming loader (all LILA sets, fetched from blob storage) |
imageomics/IDLE-OO-Camera-Traps |
balanced classification benchmark |
lila-bc-community (here) |
materialised, viewer-ready object-detection sets |
ena24-detection — Eastern North America, 23 species (species-level boxes)channel-islands-camera-traps — Channel Islands, CA (The Nature Conservancy); fox/bird/rodent/skunk/othermissouri-camera-traps — 20 species (boxed subset)Built with the open build_lila_detection.py converter (resolves any LILA dataset from the official
metadata table). Empty frames and privacy-stripped human labels are excluded so the sets are clean
for detection.
Maintained by @davanstrien. Questions or a request to take this over? Open a discussion on any dataset here, or reach LILA at info@lila.science.