Using Pruning-Based YOLOv3 Deep Learning Algorithm for Accurate Detection of Sheep Face
Accurate identification of sheep is important for achieving precise animal management and welfare farming in large farms. In this study, a sheep face detection method based on YOLOv3 model pruning is proposed, abbreviated as YOLOv3-P in the text. The method is used to identify sheep in pastures, red...
Main Authors: | Shuang Song, Tonghai Liu, Hai Wang, Bagen Hasi, Chuangchuang Yuan, Fangyu Gao, Hongxiao Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Animals |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-2615/12/11/1465 |
Similar Items
-
Grazing Sheep Behaviour Recognition Based on Improved YOLOV5
by: Tianci Hu, et al.
Published: (2023-05-01) -
PruneFaceDet: Pruning lightweight face detection network by sparsity training
by: Nanfei Jiang, et al.
Published: (2022-12-01) -
LSR-YOLO: A High-Precision, Lightweight Model for Sheep Face Recognition on the Mobile End
by: Xiwen Zhang, et al.
Published: (2023-05-01) -
Deep Learning and YOLOv8 Utilized in an Accurate Face Mask Detection System
by: Christine Dewi, et al.
Published: (2024-01-01) -
An effective electricity worker identification approach based on Yolov3-Arcface
by: Qinming Liu, et al.
Published: (2024-02-01)