Comparative analysis of deep learning models for sheep detection in aerial imagery

• 主要な著者: Ismail, Muhammad Syahmie, Samad, Rosdiyana, Pebrianti, Dwi, Mustafa, Mahfuzah, Abdullah, Nor Rul Hasma
• フォーマット: Proceeding Paper
• 言語: English; English
• 出版事項: IEEE 2024
• 主題: T Technology (General)
• オンライン･アクセス: http://irep.iium.edu.my/115359/7/115359_Comparative_Analysis_of_Deep_Learning_Models_for_Sheep_Detection_in_Aerial_Imagery.pdf; http://irep.iium.edu.my/115359/13/115359_Comparative%20Analysis%20of%20Deep%20Learning%20Models%20for%20Sheep%20Detection%20in%20Aerial%20Imagery_Scopus.pdf; http://irep.iium.edu.my/115359/; https://ieeexplore-ieee-org.ezlib.iium.edu.my/document/10652292

This research evaluates You Look Only Once - YOLOv5, YOLO-NAS, and Detection Transformer (DETR) and provides a thorough evaluation of deep learning models for sheep identification in aerial pictures. A carefully selected collection of 4,212 aerial photos of sheep in various environments was used to...