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 ...

Accurate, efficient, and economical detection of Litchi pests and diseases is critical for sustainable orchard management, yet traditional manual methods often fall short in these aspects. To address ...

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 ...

Abstract: The general objective of this study is to propose the methodology to improve the real-time object detection through the YOLO-V7 algorithm. The YOLO-V7 model is optimized in ways such as data ...

The Litter Coach is an intelligent system developed to combat littering through real-time object detection. Utilizing the advanced YOLOv8 model, it accurately identifies and labels discarded waste ...

Get a first look at the new Python Installation Manager for Windows, or try your hand at developing AI agents with Google’s Agent Development Kit for Python, or check out template strings in Python ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

Abstract: This is where timely and accurate detection by autonomous cars becomes vital. Due to this, Convolution Neural Networks have gained the utmost popularity in object detection and are showing ...

NVIDIA Jetson Xavier, JetPack 4.4 CUDA 10.2, cuDNN 8.0.0, ROS Melodic Python 3.6.9, Tensorflow 2.3.1 딥러닝 학습 서버 노트북과 구동할 로봇의 개발환경 구축 알고리즘 자료 조사 사람과 마커를 Detection하는 YOLO 모델 만들기 처음 계획: Person ...