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https://hdl.handle.net/1959.11/56707| Title: | Biometric Identification of Cattle via Muzzle Print Patterns and Deep Learning in a Few-Shot Learning Context | Contributor(s): | Shojaeipour, Ali (creator); Falzon, Gregory (supervisor) ; Hadavi, Nooshin (project team member); Cowley, Frances (supervisor) |
Publication Date: | 2021-06-06 | DOI: | 10.25952/tsjx-5x70 | Handle Link: | https://hdl.handle.net/1959.11/56707 | Related Research Outputs: | https://hdl.handle.net/1959.11/56706 | Abstract/Context: | The dataset consists of 300 images of cattle faces. Each folder in the dataset represents individual cattle and the folder name correlates with the Cattle ID document for identification purposes. | Publication Type: | Dataset | Fields of Research (FoR) 2020: | 461103 Deep learning 300306 Animal welfare 461199 Machine learning not elsewhere classified |
Socio-Economic Objective (SEO) 2020: | 220403 Artificial intelligence 109902 Animal welfare 100401 Beef cattle |
Keywords: | Biometric Identification Cattle identification Few-Shot Learning Livestock welfare Muzzle detection |
Location: | Tullimba and Torryburn, New South Wales, Australia | HERDC Category Description: | X Dataset | Project: | Biometric Identification of Cattle via Muzzle Print Patterns and Deep Learning in a Few-Shot Learning Context | Dataset Managed By: | Ali Shojaeipour | Rights Holder: | Ali Shojaeipour | Dataset Stored at: | University of New England | Primary Contact Details: | Ali Shojaeipour - ali.shojaeipour@gmail.com | Dataset Custodian Details: | Ali Shojaeipour - ali.shojaeipour@gmail.com |
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| Appears in Collections: | Dataset School of Environmental and Rural Science School of Science and Technology |
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