TY  - JOUR
T1  - Performance Analysis by the Number of Learning Images on Anti-Drone Object Detection System with YOLO
AU  - Lee, Younggyu 
AU  - Kang, Jinho 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.3.356
KW  - Drone
KW  - Object Detection
KW  - Machine Learning
KW  - YOLO
KW  - Number of Image
AB  - Recently, machine learning based real-time anti-drone object detection systems have attracted great attention to protect multi-use facilities or national important facilities from drones. This paper studies the performance and relationship analysis on the anti-drone object detection system by the number of learning images with YOLO network based on transfer learning, in order to provide guidelines that can be applied in real environments where learning data is difficult to obtain, such as terrorist and wartime situations, and sudden drone/UAV infiltration situations, and so on.