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

• DOI: 10.48550/arxiv.2401.13554
• Publication Date: 2024-01-01
• Authors: Otto Brookes; Majid Mirmehdi; Colleen Stephens; Samuel Angedakin; Katherine Corogenes; Dervla Dowd; Paula Dieguez; Thurston C. Hicks; Sorrel Jones; Kevin Lee; Vera Leinert; Juan Lapuente; Maureen S. McCarthy; Amelia Meier; Mizuki Murai; Emmanuelle Normand; Virginie Vergnes; Erin G. Wessling; Roman M. Wittig; Kevin E. Langergr...; Nuria Maldonado; Xinyu Yang; Klaus Zuberbühler; Christophe Boesch; Mimi Arandjelovic; Hjalmar S. Kühl; Tilo Burghardt

We present the PanAf20K dataset, largest and most diverse open-access annotated video dataset of great apes in their natural environment. It comprises more than 7 million frames across ~20,000 camera trap videos chimpanzees gorillas collected at 14 field sites tropical Africa as part Pan African Programme: The Cultured Chimpanzee. footage is accompanied by a rich set annotations benchmarks making it suitable for training testing variety challenging ecologically important computer vision tasks including ape detection behaviour recognition. Furthering AI analysis information critical given International Union Conservation Nature now lists all species family either Endangered or Critically Endangered. hope can form solid basis engagement community to improve performance, efficiency, result interpretation order support assessments presence, abundance, distribution, thereby aid conservation efforts.