RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

Abstract: The inconsistency between classification and localization brings a challenge in object detection. Fully supervised object detection (FSOD) benefits from bounding-box regression networks to ...

Addressing climate change, shoring up the middle class to strengthen democracy, and eradicating poverty are three large issues that countries around the world are grappling with today. But too often ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Introduction: The world’s population has been increasing continuously, and this requires prompt action to ensure food security. One of the top five cereals produced worldwide, sorghum, is a staple of ...

1 Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan, China 2 School of Information Engineering, Southwest University of Science and Technology, ...

A landscaping firm in New York built an educational program to help gardeners make their landscapes more biodiverse. By Margaret Roach What if the first step in transforming your lawn-dominated home ...

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 ...