Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Abstract: Remote sensing (RS) image processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...

Hardware-accelerated object detection for Raspberry Pi 5 using the AI HAT+ with Hailo-8 NPU. This project provides an inference pipeline for YOLOv11 (and related models) on video streams (MP4 and RTSP ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Current NCAA eligibility rules will remain in place for the rest of this academic year as well as the 2026-27 academic year. Kirby Lee / Imagn Images A possible change in college eligibility rules to ...

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 ...

YOLOv7 is an advanced deep learning algorithm for object detection, representing an improved version of the YOLO (You Only Look Once) series. Utilizing an end-to-end training approach based on deep ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel ...