Category: Camera Traps

Overview This dataset contains 357k+ images collected across 216 camera traps in the San Francisco Bay Area and surroundings. This data was collected by Felidae Conservation Fund as part of their research for the Bay Area Puma Project and Bay …

Overview This data set contains 280,485 sequences of camera trap images from 637 locations in Washington, USA, totaling 1,205,453 images. Labels are provided for 26 categories. The most common categories are “empty” (215,659 sequences), “domestic cattle” (17,929 sequences) and “odocoileus…

Overview This dataset contains 37,075 images from the WWF-UK/UCL Biome Health Project site in the Maasai Mara, Kenya. These images form the training, test, and validation sets for the Maasai Mara Classifier model. This dataset was created by labeling…

Overview This dataset contains 321,562 images from camera traps in Nkhotakota Wildlife Reserve in Malawi. The reserve operates under a partnership between African Parks Network and the Malawi Department of National Parks and Wildlife (DNPW). The wildlife monitoring program is…

Overview This dataset contains 131,802 images from 82 camera locations in New South Wales, Australia. Labels are provided for five categories: dingo (24,540 images), fox (4,421 images), goanna (84,361 images), possum (2,074 images), and quoll (16,406 images). No blank images…

Overview This data set contains approximately 2.5 million camera trap images from various projects across New Zealand. These projects were run by various organizations and took place in a diverse range of habitats using a variety of trail camera brands/models.…

Overview This data set contains 104,782 images collected from a 50-camera-trap array deployed from January to July 2020 within the private natural reserves El Rey Zamuro (31 km2) and Las Unamas (40 km2), located in the Meta department in the…

Overview This data set contains 436,617 sequences of camera trap images from 982 locations in Vietnam and Lao, totaling 2,039,657 images. Labels are provided for 120 categories, primarily at the species level (for example, the most common labels are “Eurasian…

Overview This data set contains approximately 1.5 million camera trap images from Idaho. Labels are provided for 62 categories, most of which are animal classes (“deer”, “elk”, and “cattle” are the most common animal classes), but labels also include some…

Overview This data set contains 246,529 camera trap images from 73 camera locations in the Channel Islands, California. All animals are annotated with bounding boxes. Data were provided by The Nature Conservancy. Animals are classified as rodent1 (82914), fox (48150),…

Overview This data set contains approximately 123,000 camera trap images from 123 camera locations from 7 islands in 6 countries. Data were provided by Island Conservation during projects conducted to prevent the extinction of threatened species on islands. The most…

Overview This data set contains approximately 10,000 camera trap images representing 23 classes from Eastern North America, with bounding boxes on each image. The most common classes are “American Crow”, “American Black Bear”, and “Dog”. Citation, license, and contact information…

Overview This data set contains approximately 1.4M camera trap images representing around 675 species from 12 countries, making it one of the most diverse camera trap data sets available publicly. Data were provided by the Wildlife Conservation Society. The…

Overview This data set contains approximately 25,000 camera trap images representing 20 species (for example, the most common labels are red deer, mouflon, and white-tailed deer). Images within each sequence share the same species label (even though the animal may…

Overview This data set contains 270,450 images from 187 camera locations in Wellington, New Zealand. The cameras (Bushnell 119537, 119476, and 119436) recorded sequences of three images when triggered. Each sequence was labelled by citizen scientists and/or professional ecologists from…

Overview This data set contains 243,100 images from 140 camera locations in the Southwestern United States, with labels for 21 animal categories (plus empty), primarily at the species level (for example, the most common labels are opossum, raccoon, and coyote),…

Overview This data set contains 3.7M camera trap images from five locations across the United States, with labels for 28 animal categories, primarily at the species level (for example, the most common labels are cattle, boar, and red deer). Approximately…