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 ...

Learn how to set up YOLO object detection on Raspberry Pi AI HAT. Step-by-step guide for hardware, software, and real-world applications.

Object Detection using SSD MobileNet V3 in Python This project demonstrates real-time object detection using the SSD MobileNet V3 architecture, with pre-trained weights from the COCO dataset. The ...

In recent decades, image processing and computer vision models have played a vital role in moving object detection on the synthetic aperture radar (SAR) images. Capturing of moving objects in the SAR ...

An improved algorithm has been proposed to address the challenges encountered in object detection using visible and thermal infrared images. These challenges include the diversity of object detection ...

Object recognition is the process of recognizing objects based on their characteristics like color, shape, and with the particular occurrence of the object in digital videos and as well as normal ...