Abstract: Object detection has become increasingly important in the field of autonomous driving, but the effectiveness of small object detection has always faced challenges such as insufficient ...

A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems. Self-service kiosks at the ...

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 ...

Introduction: With the continuous advancement of agricultural technology, automatic weed removal has become increasingly important for precision agriculture. However, accurate weed identification ...

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...

Description This project implements real-time object detection using the Ultralytics YOLO model. It includes a script for performing detection on live camera feeds or video files, saving the annotated ...

YOLOv7 is a state-of-the-art object detection model known for its speed and accuracy. This repository focuses on utilizing the YOLOv7 model in an efficient and scalable manner by implementing it with ...