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

no code implementations • 21 Oct 2022 • Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir, Shawn McGrath, Jonathan Medway, Dave Swain, Will Swain

This paper aims to present our recent research in utilizing five popular object detection models, looking at the architecture of YOLOv5, investigating the performance of eight backbones with the YOLOv5 model, and the influence of mosaic augmentation in YOLOv5 by experimental results on the available cattle muzzle images.

object-detection Real-Time Object Detection +1

A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions

no code implementations • 13 Oct 2022 • Md Ekramul Hossain, Muhammad Ashad Kabir, Lihong Zheng, Dave L. Swain, Shawn McGrath, Jonathan Medway

For the two main applications of cattle detection and cattle identification, all the ML based papers only solve cattle identification problems.

Management