This project uses a Convolutional Neural Network (CNN) to automatically detect and track objects in real-time video feeds. The images used for training are annotated in yolov3 format with labelimg.

In this project, a deep learning-based approach is used for lane detection ... for semantic segmentation to accurately detect and classify road features, and YOLOv8 for object detection. Autonomous ...

Abstract: The object detection based on deep learning is an important application in deep learning technology, which is characterized by its strong capability of feature learning and feature ...

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

offers suggested solutions and exclusive approches to increase the accuracy of object detection in real-time projects with a practical application attitude for the enthusiasts and developers ...

Engineers develop novel techniques to trick object detection systems Project to test and improve deep-learning algorithms for enhanced security Date: April 4, 2019 Source: Southwest Research ...