Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis

Author:

Dulal Rabin1,Zheng Lihong1,Kabir Muhammad Ashad1,McGrath Shawn1,Medway Jonathan1,Swain Dave2,Swain Will2

Affiliation:

1. Charles Sturt University,Australia

2. TerraCipher Pty Ltd,Australia

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Extraction of Corn Plant Phenotypic Parameters with Keypoint Detection and Stereo Images;Agronomy;2024-05-23

2. Mobile App for Muzzle Pattern Recognition for Cattle Identification Using Feature Extraction;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

3. Disaster impact analysis in Africa: EDDA - UAV building damage dataset of rural and urban Mozambique;Earth Resources and Environmental Remote Sensing/GIS Applications XIV;2023-10-19

4. Innovation in Livestock Surveillance: Applying the YOLO Algorithm to UAV Imagery and Videography;2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA);2023-10-17

5. A Kind of Water Surface Multi-Scale Object Detection Method Based on Improved YOLOv5 Network;Mathematics;2023-06-30

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