Abstract: “This paper introduces a highly flexible, quantized, memory-efficient, and ultra-lightweight object detection network, called TinyissimoYOLO. It aims to enable object detection on ...

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

Popular CNN graphs for real-time object detection – which include classification and localization – are YOLO v2, Faster R-CNN, and Single shot multibox detector (SSD). CNN object detection graphs can ...

In high-risk industry work scenarios, automatic hard hat recognition systems are crucial for ensuring worker safety. However, the issue of false detection has become a 'stumbling block' affecting ...

To do this, engineers used faster R-CNN as its DNN-based object detection framework, according to Microsoft. It allows the technology to be integrated into online services such as Bing.

AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...