With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

This project demonstrates a simple yet powerful application of the YOLOv8 (You Only Look Once) object detection model for identifying various traffic-related objects.

Abstract: Fully-mechanized coal mining faces present challenging conditions for object detection, with dim lighting, heavy dust, occlusions, and limited computational resources. To address these ...

The YOLO Class Labeling Tool is a comprehensive solution for creating, editing, and managing object detection datasets in YOLO format. It features an intuitive GUI, automatic detection using YOLO/ONNX ...

Abstract: Autonomous aerial vehicle (AAV) object detection in aerial images presents substantial value but also considerable challenges. UAV images often exhibit characteristics such as a high ...

College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China Accurate and efficient detection of citrus leaf diseases is crucial for ...