PanAfrican2019 Video Annotations

This public and freely available dataset contains a PyTorch code section for the SCM and TCM deep learning network components, an annotation dataset for video object detection in the PanAfrican2019 video dataset, and the detailed split of the videos into training/validation/test portions. The dataset is used in the ICCVW2019 paper "Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending". 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.

Alternative title SCM+TCM Code and Annotations for PanAfrican2019 CamTrap Videos of Great Apes
Creator(s) Xinyu Yang, Majid Mirmehdi, Tilo Burghardt
Publication date 30 Jan 2020
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.1v9op9lc6zi5g25kkwa5smb3vq
Complete download (zip) https://data.bris.ac.uk/datasets/1v9op9lc6zi5g25kkwa5smb3vq/1v9op9lc6zi5g25kkwa5smb3vq.zip
Citation Xinyu Yang, Majid Mirmehdi, Tilo Burghardt (2020): PanAfrican2019 Video Annotations. https://doi.org/10.5523/bris.1v9op9lc6zi5g25kkwa5smb3vq
Total size 58.2 MiB

Sub-levels

Data Resources