To address this issue, we proposed MC-YOLOv5, an algorithm specifically designed for multi-class small object detection. Our approach incorporates three key innovations: (1) the application of an improved CB module during feature extraction to capture edge information that may be less apparent in ...
The detection of multi-class small objects poses a significant challenge in the field of computer vision. While the original YOLOv5 algorithm is more suited for detecting full-scale objects, it may not perform optimally for this specific task. To address this issue, we proposed MC-YOLOv5, an...
简介:脚本和模型放在github了https://github.c;更多我的世界实用攻略教学,爆笑沙雕集锦,你所不知道的我的世界游戏知识,热门我的世界游戏视频7*24小时持续更新,尽在哔哩哔哩bilibili 视频播放量 6192、弹幕量 0、点赞数 95、投硬币枚数 33、收藏人数 53、转发人数 51,
Code accompanying the YOLOv5 DNA origami structure identification procedure. - mchirib1/Origami_Structure_Detection
针对复杂街景环境下人群检测精度低的问题,基于YOLOv5网络,提出一种改进的人群密度检测网络YOLO-C3SE-moblienetV3.将YOLOv5,聚合连接空洞卷积(connected convolutional capsule systems,C3SE)和MobileNet结合,旨在改善目标检测的性能.通过引入C3SE模块,模型能够更好地捕捉多尺度特征和上下文信息,从而提高检测精度.结合MobileNe...
针对电厂高空作业人员安全带佩戴检测问题,现有研究大多利用深度检测模型直接检测,不仅需要大量样本训练模型,而且由于高空作业背景杂乱,人员目标小,导致不易检测等.为此,提出一种基于目标检测和少样本细粒度分类的两阶段检测方法:首先利用YOLOv5 检测视频图像中的高空作业人员,再用少样本细粒度分类方法识别其是否佩戴安全带...
一种基于yolov5目标检测算法的智能标注方法 本发明公开一种基于yolov5目标检测算法的智能标注方法,涉及Python Web应用开发领域;基于采用B/S模式,通过前端页面管理数据集,创建数据集及批量上传数据集对应图片,通过后端响应存储数据集对应图片,通过前端页面选择数据集,经后端响应加载相应数据集的图片... 尹廷武,徐小娣 被...
A recall of 97.67% for the YOLOv5 and 98.12% and 95.34% for the validation and testing of ResNet9, show how well the network and algorithm are applied to accurately classify bird species and provide counts of the bird species within flocks. With this, the study ...