Abstract: The development of an advanced ship detection and identification system is essential for improving maritime safety monitoring and shipping management. This article elaborates on how to apply
Abstract: Developing a vehicle recognition and counting system is of great significance for improving traffic management efficiency and urban planning. This article introduces in detail how to use dee
The system accurately recognizes and classifies faces in everyday scenarios and supports multiple input options, including pictures, picture folders, video files, and real-time camera monitoring. It a
Build a traffic light object detection project based on YOLOv5. At present, the average traffic light detection accuracy based on YOLOv5s is mAP_0 = 0.93919, mAP_0: 0.95 = 0.63967, which bas
Developing a system for field weed identification is crucial to improve agricultural operational efficiency and crop yield. This article elaborates on how to apply deep learning technology to develop
This blog post details how to use deep learning to build an advanced transmission line equipment inspection system. The system also integrates a user-friendly interface based on PySide6, which makes
This blog post describes the process of building a traffic sign recognition system using deep learning in detail, and provides the complete implementation code. The system uses the advanced YOLOv8 alg
The system uses PySide6 as a GUI library to provide an intuitive and user-friendly interface. Below, I will introduce the functions and design of each main interface in detail. (1) The system provide
The system can accurately identify and distinguish different paddy pest types. It supports detection through pictures, picture sets, video files, and real-time cameras. Features include columnar graph
this project will develop an C++ and Python and Android version of the license plate detection and recognition APP, wherein the license plate detection algorithm using YOLOv5 model, license plate rec