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BristolGorillas2020

dataset
posted on 2025-12-09, 15:56 authored by Otto Brookes, Fay Clark, Katy BurgessKaty Burgess, Peter Bennett, Stuart Gray, Sarah Gedman, Shaskia Ratnayake, Zoe Grose, Tilo Burghardt
<p dir="ltr">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 <a href="https://github.com/obrookes/BristolGorillas2020" rel="nofollow" target="_blank">https://github.com/obrookes/BristolGorillas2020</a> 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 <a href="https://arxiv.org/abs/2012.04689" rel="nofollow" target="_blank">https://arxiv.org/abs/2012.04689</a>.</p><p dir="ltr">NOTE: this dataset is published under a non-commercial government licence for public sector information.</p>

History

Data file formats

MP4, JPEG

Language(s) in dataset

  • English-Great Britain (EN-GB)

Usage metrics

    School of Psychology

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