A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Levi Patterson lifts the lid on the sophisticated 3D-to-factory platform he's built that enables personalized designs for ...
The study provides a roadmap for modernizing emergency response infrastructure. In large-scale disasters, time is the most ...
The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...
Pose Estimation, Golf Swing Analysis, Computer Vision, YOLO Pose, MediaPipe Pose, Sports Analytics, OKS Metric, Human Motion Analysis Share and Cite: Yuan, A. and Ndongmo, B. (2026) On the Utility of ...
Abstract: Object detection in unmanned aerial vehicle (UAV) imagery is highly valuable in both military and civilian domains. However, deploying conventional detectors is challenging due to limited ...
With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...
Abstract: Object detection is a fundamental task in computer vision, involving the prediction of bounding boxes and class labels for Regions of Interest (ROI) within images. Traditionally, ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.
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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