MetAI’s Daniel Yu explains how, by simulating warehouse environments with image-based data, physical AI can improve their design ...

This study evaluates YOLOv12 using a globally sourced traffic dataset that includes varied weather conditions, lighting scenarios, and geographic locations. The model demonstrates strong performance ...

Object Detection Using OpenCV Python This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects ...

FLS image object detection (Karimanzira et al., 2020) refers to using computer vision and signal processing technology to perform object detection and recognition on the image data obtained by sonar ...

This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for zynq ...

Object detection is a foundation process in computer vision having widespread applications in autonomous driving, medical diagnostics and security monitoring. Recent advancements and development in ...

The first part of this project focuses on object detection algorithm from scratch in pytorch using pre-trained weights. The second part and third part relate to the object detection and face detection ...