This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...

US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of ...

The YOLO methods used in this software are described in the paper: You Only Look Once: Unified, Real-Time Object Detection. If you are using YOLO V3 for ROS, please ...

In contemporary industries, the need to scrutinize video records for object identification has become imperative. Given the prolonged duration of some videos and the inherent limitations of human ...

Detecting foreign objects in power transmission lines is essential for mitigating safety risks and maintaining line stability. Practical detection, however, presents challenges including varied target ...

Abstract: Aiming at the challenges of low detection accuracy, susceptibility to complex background interference, difficulty in detecting small objects, and multi-scale object issues in aerial images, ...

July 6th 2022 will be marked down as a landmark in AI history because it was on this day when YOLOv7 was released. Ever since its launch, the YOLOv7 has been the hottest topic in the Computer Vision ...

Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. After YOLOv8, there's yet a ...

Abstract: This paper aimed to evaluate and compare the performance of various versions of the YOLO object detection (OD) algorithm under adverse weather conditions, including rain, fog, snow, and sand ...