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We present the PanAf20K dataset, the largest and most diverse open-accessannotated video dataset of great apes in their natural environment. Itcomprises more than 7 million frames across ~20,000 camera trap videos ofchimpanzees and gorillas collected at 18 field sites in tropical Africa as partof the Pan African Programme: The Cultured Chimpanzee. The footage isaccompanied by a rich set of annotations and benchmarks making it suitable fortraining and testing a variety of challenging and ecologically importantcomputer vision tasks including ape detection and behaviour recognition.Furthering AI analysis of camera trap information is critical given theInternational Union for Conservation of Nature now lists all species in thegreat ape family as either Endangered or Critically Endangered. We hope thedataset can form a solid basis for engagement of the AI community to improveperformance, efficiency, and result interpretation in order to supportassessments of great ape presence, abundance, distribution, and behaviour andthereby aid conservation efforts.

PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition