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CowDepth2023

This dataset accompanies the paper "Universal Bovine Identification via Depth Data and Deep Metric Learning" https://doi.org/10.48550/arXiv.2404.00172

.It consists of three components: (a) Colour coat pattern images, (b) associated time synchronised depth map, and (c) associated point cloud files. For an overview of this dataset, refer to the paper. For any queries, contact the corresponding author in the paper. For the accompanying source code, check out https://github.com/Asheeshkrsharma/RGBD-Bovine-Identification.

Complete download (zip, 29.3 GiB)

Alternative title Universal Bovine Identification via Depth Data and Deep Metric Learning
Creator(s) Neill Campbell, Tilo Burghardt, Andrew Dowsey, Asheesh Sharma, William Andrew, Lucy Randewich, Sion Hannuna, Siobhan Mullan, Melvyn Smith, Mark Hansen
Publication date 05 Nov 2024
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.34y6jvfc7u89w1y9dgw94ydo7x
Citation Neill Campbell, Tilo Burghardt, Andrew Dowsey, Asheesh Sharma, William Andrew, Lucy Randewich, Sion Hannuna, Siobhan Mullan, Melvyn Smith, Mark Hansen (2024): CowDepth2023. https://doi.org/10.5523/bris.34y6jvfc7u89w1y9dgw94ydo7x
Total size 29.3 GiB

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