datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IDLE-OO-Camera-Traps
Dataset Card for IDLE-OO Camera Traps
IDLE-OO Camera Traps is a 5-dataset benchmark of camera trap images from the Labeled Information Library of Alexandria: Biology and Conservation (LILA BC) with a total of 2,586 images for species classification. Each of the 5 benchmarks is balanced to have the same number of images for each species within it (between 310 and 1120 images), representing between 16 and 39 species.
Supported Tasks and Leaderboards
Image… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/IDLE-OO-Camera-Traps.lila_camera_trapsLILA Camera Traps is an aggregate data set of images taken by camera traps, which are devices that automatically (e.g. via motion detection) capture images of wild animals to help ecological research.
This data set is the first time when disparate camera trap data sets have been aggregated into a single training environment with a single taxonomy.
This data set consists of only camera trap image data sets, whereas the broader LILA website also has other data sets related to biology and conservation, intended as a resource for both machine learning (ML) researchers and those that want to harness ML for this topic.thewilds_cameratraps
Dataset Card for The Wilds Camera Trap Data
This dataset contains images and video captured from camera traps deployed at The Wilds safari park in Ohio during Summer 2025. It supports ecological monitoring, animal behavior analysis, and biodiversity studies.
Dataset Details
This dataset was created to support wildlife monitoring research using camera traps. Data were collected using various camera trap models, with each camera recording photos and videos in the… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/thewilds_cameratraps.lila_camera_trapsLILA Camera Traps is an aggregate data set of images taken by camera traps, which are devices that automatically (e.g. via motion detection) capture images of wild animals to help ecological research.
This data set is the first time when disparate camera trap data sets have been aggregated into a single training environment with a single taxonomy.
This data set consists of only camera trap image data sets, whereas the broader LILA website also has other data sets related to biology and conservation, intended as a resource for both machine learning (ML) researchers and those that want to harness ML for this topic.channel-islands-camera-traps
Channel Islands Camera Traps — Detection
Camera-trap images with bounding-box annotations from the Channel Islands, California, provided by
The Nature Conservancy and distributed via
LILA BC.
Unofficial community mirror — not affiliated with or endorsed by LILA BC. This is an
HF-native, viewer-ready object-detection build (parquet, dataset viewer renders boxes,
trains in one command). For the full multi-dataset collection use the streaming loader
society-ethics/lila_camera_traps.… See the full description on the dataset page: https://huggingface.co/datasets/lila-bc-community/channel-islands-camera-traps.missouri-camera-traps
Missouri Camera Traps — Detection
Camera-trap images with bounding-box annotations, from the
LILA BC Missouri Camera Traps dataset.
Unofficial community mirror — not affiliated with or endorsed by LILA BC. This is an
HF-native, viewer-ready object-detection build (parquet, dataset viewer renders boxes,
trains in one command). For the full multi-dataset collection use the streaming loader
society-ethics/lila_camera_traps.
What this is
This build keeps only the… See the full description on the dataset page: https://huggingface.co/datasets/lila-bc-community/missouri-camera-traps.CameraTraps