This project focuses on real-time object detection using pre-trained deep learning models with OpenCV. It demonstrates how to detect and classify objects in images or video streams using efficient and ...
Abstract: Small object detection in uncrewed aerial vehicle (UAV) images is one of the critical aspects for its widespread application. However, due to limited feature extraction for small objects and ...
A comprehensive computer vision project for detecting and analyzing Iranian supermarket snacks and chips using YOLOv11 object detection and segmentation models. This system combines real-time object ...
Abstract: High-spatial-resolution remote sensing imagery applications demand computationally efficient detection methods due to their massive scale and real-time processing requirements. However, fast ...
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