Abstract: Object detection refers to the identification of objects where the presence, location, and size are determined while putting on the corresponding class labels. Object detection is sensitive ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

The project titled " Real-Time Webcam Based Compound Emotion Detection using MATLAB and Morphological Tracking " explores the concept of creation and evolution through computational modelling and ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...

Joe Grantham is a contributor from the UK with a degree in Classical Studies. His love for gaming is only rivaled by a deep passion for medieval history, which often seeps into his articles. With over ...

Abstract: In this paper, we propose a new method for handwriting text detection using the YOLOV5 object detection neural network. Our approach accurately identifies text sequences regardless of ...