Abstract: You Only Look Once (YOLO) has established itself as a prominent object detection framework due to its excellent balance between speed and accuracy. This article provides a thorough review of ...
Abstract: The performance of existing object detection algorithms significantly degrades when applied to low-resolution infrared (IR) images captured by unmanned aerial vehicles (UAVs), which suffers ...
Learn how to use Premiere Pro’s Scene Edit Detection feature to automatically detect cuts in any video. This tutorial shows how to speed up your workflow, save time, and quickly break down footage for ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Target detection in side-scan sonar images under complex environments is challenging due to noisy backgrounds, occlusion, and blurred target boundaries, which reduce the accuracy and robustness of ...
College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China Accurate and efficient detection of citrus leaf diseases is crucial for ...
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 ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
This repository provides a reproducible workflow for automatically counting nematode offspring in microscopy images, replacing manual counting procedures. The system processes raw microscopy images ...
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Learn Simple Magic With Everyday Objects Tutorial
This tutorial covers easy magic tricks using items like cards, rubber bands, and pencils. Each trick is selected for its simplicity and visual appeal, making them perfect for beginners. The video ...
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