Abstract: Real-time object detection on edge devices operates under tight computational, memory, and power budgets. Prior work typically treats model compression and hardware acceleration ...
Abstract: Object detection in aerial remote sensing images is essential for applications such as traffic management, public security, and ecological monitoring. However, existing methods struggle to ...
Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced ...
Background: Vitiligo is a chronic autoimmune disorder with profound psychosocial implications. Methods: The paper propose a multimodal artificial intelligence (AI) framework that combines and ...
Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...
Imaging buried objects Left: artistic impression of metal spheres buried in small glass beads; centre: conventional ultrasound image; right: the new technology can precisely determine the positions of ...
ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...
Description This project implements real-time object detection using the Ultralytics YOLO model. It includes a script for performing detection on live camera feeds or video files, saving the annotated ...
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