With recent advancements in the industry of artificial intelligence, computer vision ... in people/object tracking applications, video surveillance cameras which I will elaborate further. Now that we ...

Thus, the choice of architecture should be based on the tradeoff between performance and computational resources. Based on the conducted experiment, the final object detection results are presented in ...

Abstract: We propose a comprehensive computer vision framework that integrates multi-scale signal processing with an enhanced ConvNeXt-YOLO architecture for robust object detection. Our framework ...

Computer vision is a crucial component of many modern businesses, including automobiles, robotics, and manufacturing, and its market is growing rapidly. This book helps you explore Detectron2, ...

One of the most useful, albeit substantially more difficult, applications of machine vision is, therefore, object detection. These terms, although used indiscriminately in the context of computer ...

Object detection represents a fundamental and intricate task in computer vision. It centers on precisely pinpointing ... speed using a more powerful deep convolutional backbone architecture. YOLOv3 ...

Object detection ... s most recent vision and imaging platform- builds on the combination of vision algorithm expertise and core architecture know-how and provides a well-tuned vision processor to ...

Hence, they are faster, making them suitable for real-time object detection. YOLO Architecture models are open source, so there is a supportive community out there that fosters the computer vision ...