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% of images are labeled as empty.
More information about this data set is available in the associated manuscript:
Tabak, M. A., Norouzzadeh, M. S., Wolfson, D. W., Sweeney, S. J., VerCauteren, K. C., Snow, N. P., … & Teton, B. (2018). Machine learning to classify animal species in camera trap images: applications in ecology. Methods in Ecology and Evolution.
Please cite this manuscript if you use this data set.
Annotations are provided in the .json format used by the COCO data set.
This data set is released under the Community Data License Agreement (permissive variant).
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