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

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

International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2022
21 October 2022
Rabindra Dulal
Lihong Zheng
M. A. Kabir
S. McGrath
J. Medway
D. Swain
Will Swain
ArXiv (abs)PDFHTMLGithub (57203★)

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

3 / 3 papers shown
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning
Rabin Dulal
Lihong Zheng
Ashad Kabir
270
1
0
14 Sep 2025
When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection
When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection
Rabin Dulal
Lihong Zheng
M. A. Kabir
151
1
0
08 Sep 2025
Surveying You Only Look Once (YOLO) Multispectral Object Detection
  Advancements, Applications And Challenges
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges
James E. Gallagher
E. Oughton
394
1
0
03 Sep 2024
1
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