Missouri Camera Traps

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 not…

Wellington Camera Traps

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 Victoria…

NOAA Arctic Seals

This data set contains about one million thermal/RGB image pairs, representing a 2016 aerial survey of sea ice habitat in U.S. waters of the Chukchi Sea, conducted by NOAA fisheries. Annotations indicate the locations of approximately 7000 seals in…

Snapshot Serengeti

This data set contains 1.2M sequences of camera trap images, totaling 3.2M images, from seasons one through six of the Snapshot Serengeti project. Labels are provided for 48 animal categories, primarily at the species level (for example, the most common…

Caltech Camera Traps

This data set contains 244,497 images from 140 camera locations in the Southwestern United States, with labels for 22 animal categories, primarily at the species level (for example, the most common labels are opossum, raccoon, and coyote), and approximately 66,000…

North American Camera Trap Images

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 12%…

List of other conservation data sets

There are lots of labeled data sets relevant to conservation that are not on LILA, of course, and rather than copying them all to LILA, we’ll use this post to track other data sets we know about. This is intended…