Abstract: Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are ...

"Exploring the frontiers of Dynamic Intelligence in YOLO." This work represents our passionate exploration into the evolution of Real-Time Object Detection (RTOD). To the best of our knowledge, ...

The coffee industry is a vital sector of global agriculture. Coffee is one of the most widely traded plant products in the world. Coffee fruit ripeness affects the taste and aroma of the final brewed ...

Researchers have developed DBAL-YOLO, a novel deep learning-based framework that automatically converts non-digital engineering drawings into 3D Building Information Models (BIM). Achieving 98.8% ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. In 1966 ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Ph.D. student Parastoo Farajpoor and Digital Agriculture Laboratory Director Alireza Pourreza using the Leaf Monitor tool in a Bullseye Farms almond orchard near Davis. The AI-based tool can measure ...

Traffic signs are pivotal components of traffic management, ensuring the regulation and safety of road traffic. However, existing detection methods often suffer from low accuracy and poor real-time ...

Object detection and recognition are fundamental tasks in computer vision, powering applications from self-driving cars to facial recognition. These techniques enable machines to locate and classify ...

Strip steel is a significant steel product, that is widely used as a raw material in construction, automobile manufacturing, electric power equipment, shipbuilding and other fields 1. During the ...