Team Ai
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camera-trap

imageomics /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.imageimage-classification1K<n<10K2 likes1.7k downloads1mo agoHugging Faceimageomics /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.imageimage-classification10K<n<100K4 likes839 downloads10mo agoHugging Faceimageomics /PUUM-koa-restoration-camera-trap-dataset Dataset Card for Koa Associated Biodiversity Camera Trap Dataset This dataset is aimed at classification of birds visiting planted Acacia koa (koa) trees in the Pu'u Maka'ala Natural Area Reserve (PUUM) on the island of Hawaii (Big Island). The dataset contains full and cropped images collected by camera trap. These images were collected from January 24th to February 25th, 2025. Dataset Details This dataset is aimed at classification of birds visiting planted Acacia… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/PUUM-koa-restoration-camera-trap-dataset.imageimage-classification1K<n<10K1 likes741 downloads10mo agoHugging Facesociety-ethics /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.image-classification10M<n<100M9 likes373 downloads1y agoHugging Facelila-bc-community /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.imageobject-detection10K<n<100K0 likes86 downloads5mo agoHugging Facepolinaeterna /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.image-classification10M<n<100M0 likes67 downloads4y agoHugging Face