version is best who created yolo who invented yolo yolo algorithm yolo architecture yolo computer vision yolo deep learning yolo explained yolo image classification yolo machine learning yolo models yolo multiple object detection yolo neural network yolo paper yolo real time object detection yolo versions...
[3]: Sun Z, Chen B. Research on Pedestrian Detection and Recognition Based on Improved YOLOv6 Algorithm[C]//International Conference on Artificial Intelligence in China. Singapore: Springer Nature Singapore, 2022: 281-289. [4]: Zhao H, Zhang H, Zhao Y. Yolov7-sea: Object detection of ma...
Hence, the proposed dynamic traffic management system relies on the "YOLO" machine learning algorithm. The proposed machine learning model detects the vehicles count in each lane and performs dynamic signal switching depending on traffic density that leads to alleviate the traffic congestion problems. ...
摘要:开发教室人员检测与计数系统对于优化教学资源和提升教学效率具有重要意义。本篇博客详细介绍了如何利用深度学习构建此系统,并提供了完整的实现代码。该系统基于强大的YOLOv8算法,并对比了YOLOv7、YOLOv6、YOLOv5的性能,展示了不同模型的mAP、F1 Score等性能指标。文章深入探讨了YOLOv8算法的原理,提供了相应的Python...
a learnable enhancement network is added in front of the backbone network. This network is constructed through Laplacian decomposition residual learning method,which not only allows for full extraction of target feature information, but also...
摘要:本文深入研究了基于YOLOv8/v7/v6/v5的智能监考系统,核心采用YOLOv8并整合了YOLOv7、YOLOv6、YOLOv5算法,进行性能指标对比;详述了国内外研究现状、数据集处理、算法原理、模型构建与训练代码,及基于Streamlit的交互式Web应用界面设计。在Web网页中可以支持图像、视频和实时摄像头进行智能监考,可上传不同训练模型(YO...
However, not only does the machine learning algorithm need to be effective, but it also requires a large dataset to train it to detect and identify drones and birds in diverse environments [4], [5], [6]. The dataset presented in this paper was produced by extracting frames from 42 ...
The traditional detection method is to obtain the output result by combining the feature extraction algorithm and the machine learning algorithm of the classifier. The detection method based on deep learning is divided into two-stage and one-stage. Although two-stage can meet the detection ...
Adaptive Gradient Algorithm (自适应梯度算法) AdaGrad是一种梯度下降优化算法,它根据参数在训练期间的更新频率进行自适应调整,更新幅度小、频率快。它在非常稀疏的数据集上表现良好,如用于在自然语言处理任务中调整词嵌入。相关论文:AdaptiveSubgradient Methods for Online Learning and Stochastic Optimization。
In response to the above challenges, this study proposes an improved Pyramid-YOLOv8 algorithm. The algorithm improves the feature pyramid structure and designs a multi-attention feature fusion structure based on an additional detection head, which can effectively extract the feature information of small...