2024/07/30 · This paper proposes a lightweight object detection algorithm YOLOv8-LD (YOLOv8 Lightweight Target Detection Algorithm in UAV Scene) network for unmanned aerial ...
2024/08/01 · Our approach achieves an 8.8% mAP50 improvement while reducing parameters by 62.39%. It achieves an FPS exceeding 74. Therefore, our method ...
We present a lightweight, real-time, and accurate anti-drone detection model (EDGS-YOLOv8). This is performed by improving the model structure.
This study proposes two improved models based on YOLOv8s, named IMCMD_YOLOv8_small and IMCMD_YOLOv8_large. Each model accommodates different application ...
2024/07/23 · The research findings and methods outlined here are crucial for improving target detection accuracy and developing lightweight UAV models.
We propose a lightweight and efficient tiny-object-detection algorithm named LE-YOLO, based on the YOLOv8n architecture.
2024/08/26 · This paper proposes a series of improvements to the state-of-the-art YOLOv8 object detector to enhance its detection accuracy and speed for ...
2023/08/15 · We optimize YOLOv8 and propose an object detection model based on UAV aerial photography scenarios, called UAV-YOLOv8.
2024/08/04 · To detect dense apricot flowers using drones, we propose an improved dense target detection method based on YOLOv8, named D-YOLOv8.
2024/04/30 · This study aims to enhance the detection of potato seedlings in drone-captured images through a novel lightweight model.