imageomics/BaboonLand
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Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
Note This dataset is an aerial drone video of wild olive baboons in Laikipia, Kenya, collected over 21 consecutive days across three troops. It contains 20+ hours of footage with dense multi-individual scenes (up to ~70 baboons per frame) and annotations enabling detection, multi-object tracking, and behavior recognition.
Note Behavior recognition model for in situ drone videos of baboons, built using an X3D model. It was trained on the BaboonLand mini-scene dataset, which is comprised of 20 hours of aerial video footage of baboons captured using a DJI Mavic 2S drone.