1. Home
  2. Organisations
  3. Engineering
  4. PanAfrican2020

PanAfrican2020

This dataset contains approx. 180,000 XML annotation files assigning behaviours (9 overall behaviours), animal bounding boxes and species names to the content of every frame across the 500 chimpanzee and gorilla videos of the PanAfrican2019 dataset captured at 24 frames per seconds. Note that this dataset does not contain the video data itself, which is held by the PanAfrican Programme. Full details of the contents are provided in the readme.txt file. For associated code please check out https://github.com/fznsakib/great-ape-behaviour-detector. When using this dataset please cite the accompanying paper "Visual Recognition of Great Ape Behaviours in the Wild" available at https://arxiv.org/abs/2011.10759.

Complete download (zip, 62.9 MiB)

Alternative title Frame-by-frame Behaviour Annotations across 500 Videos of the PanAfrican2019 Video Dataset
Creator(s) Faizaan Sakib, Tilo Burghardt
Contributor(s) Faizaan Sakib, Tilo Burghardt
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.jh6hrovynjik2ix2h7m6fdea3
Total size 62.9 MiB

Sub-levels

Data Resources