Research on Instance Segmentation Algorithm for Caged Chickens in Infrared Images Based on Improved Mask R-CNN

Infrared images of caged chickens can provide valuable insights into their health status. Accurately detecting and segmenting individual chickens in these images is essential for effective health monitoring in large-scale chicken farming. However, the presence of obstacles such as cages, feeders, an...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 25; číslo 19; s. 6237
Hlavní autoři:	Chen, Youqing, Liu, Hang, Wang, Lun, Chen, Chen, Li, Siyu, Zhong, Binyuan, Qiao, Jihui, Ye, Rong, Li, Tong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 08.10.2025
Témata:	AC-FPN Algorithms Animals Automation caged chickens CBAM Chickens Datasets Deep learning Farms Heat detection Image Processing, Computer-Assisted - methods Infrared Rays instance segmentation Livestock farms Mask R-CNN Neural networks Neural Networks, Computer Poultry Poultry industry Telecommunication systems Thermography United States China instance segmentation AC-FPN CBAM caged chickens Mask R-CNN
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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