The project is based on the Pytorch deep learning framework and the implementation of the hand keypoint detection (hand pose estimation) model, in which the hand detection adopts the YOLOv5 model, and
With the development of the global economy, the scale of the fruit consumption market continues to expand, and the types of fruits are increasingly abundant. Fruit detection and identification technol
This project will use deep learning method to build a training and testing system for fruit classification recognition, and implement a simple fruit image classification recognition system. At present
This study details a flame and smoke detection system that integrates the latest YOLOv8 algorithm, and compares it with earlier algorithms such as YOLOv7, YOLOv6, and YOLOv5 for performance evaluation
With the increasing aging of the global population, the safety of the elderly has become a hot issue of social concern, among which falls are one of the main causes of injury and even death to the eld
In recent years, several versions of YOLO, such as YOLOv3 and YOLOv4, have made significant progress in facial expression recognition. These versions have improved the accuracy and robustness of reco
This article introduces a facial recognition and management system based on deep learning designed by bloggers in detail. The blog post gives the principle of facial recognition, and at the same time
This paper explores in depth how to apply deep learning technology to develop an advanced common vehicle recognition system. The core of the system adopts the latest YOLOv8 algorithm and compares the
Automated bird recognition can help people more conveniently understand the number and activities of specific birds in a geographical area. At present, there are few applications of bird detection and
The project will implement human keypoint detection algorithms, including YOLOv5 model implementation human detection (Person Detection), HRNet, LiteHRNet and Mobilenet-v2 model implementation human k