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BristolGorillas2020

This MP4 video and JPG image dataset of a troop of 7 western lowland gorillas (Gorilla gorilla gorilla) filmed at Bristol Zoo Gardens contains around 5k+ facial bounding box and individual gorilla identity annotations. A basic YOLOv3-powered application is able to perform facial identifications at 92% mAP when utilising single frames on the still image data. Tracking-by-detection-association and identity voting across short tracklets in videos yields an improved robust performance at 97% mAP. The github repository https://github.com/obrookes/BristolGorillas2020 provides code and further info to train from scratch with this dataset. When using this dataset please cite the dataset and the paper "A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments" accompanying it available at https://arxiv.org/abs/2012.04689.

Complete download (zip, 15.6 GiB)

Alternative title Facial Recognition Data of 7 Gorillas Acquired at Bristol Zoo Gardens
Creator(s) Otto Brookes, Fay Clark, Katy Burgess, Peter Bennett, Stuart Gray, Sarah Gedman, Shaskia Ratnayake, Zoe Grose, Tilo Burghardt
Contributor(s) Otto Brookes, Fay Clark, Katy Burgess, Peter Bennett, Stuart Gray, Sarah Gedman, Shanika Ratnayake, Zoe Grose, Tilo Burghardt
Publication date 16 Jun 2021
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.jf0859kboy8k2ufv60dqeb2t8
Citation Otto Brookes, Fay Clark, Katy Burgess, Peter Bennett, Stuart Gray, Sarah Gedman, Shaskia Ratnayake, Zoe Grose, Tilo Burghardt (2021): BristolGorillas2020. https://doi.org/10.5523/bris.jf0859kboy8k2ufv60dqeb2t8
Total size 15.6 GiB

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