This article discusses the advancements in object detection and tracking in computer vision, driven by the rise of deep learning techniques. It invites researchers…
Browsing: object detection
This tutorial explores object tracking and detection using the YOLOv8 model and the Python SDK. YOLOv8 is a state-of-the-art model in computer vision, known…
This research paper explores the use of color image processing and deep learning algorithms in developing a robot vision system for 8-ball billiards. The…
Researchers explore the use of FMCW radar and deep learning algorithms to improve road safety and enhance the capabilities of autonomous vehicles. The study…
YOLOv10 is an improved version of the popular object detection algorithm, YOLO, offering faster processing speed and higher accuracy. It uses a “one-stage” approach…
This article discusses the advancements in computer vision algorithms, specifically in object detection, and how they have been applied in various industries such as…
Computer vision is a specialized field within artificial intelligence that focuses on developing and applying algorithms and techniques to tackle complex real-world problems. Its…
This article discusses the importance of object detection and classification in computer vision and its wide range of applications in various fields. It also…
This article discusses the growing market for machine learning chips and their various applications in industries such as retail, media, and automotive. It also…
This article discusses the recent advancements in computer vision, specifically the use of deep learning techniques for various tasks such as object detection, image…