lbyxiaobi011221020202's Stars
heart6622/yolo-heart-hat
基于cuda11.1的pytorch—————三天玩转yolo项目————用于头盔目标检测的yolov5应用
PeterH0323/Smart_Construction
Base on YOLOv5 Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yurizzzzz/Helmet-Detection-YoloV5
Safety helmet wearing detection on construction site based on YoloV5s-V5.0 including helmet dataset（基于YoloV5-V5.0的工地安全帽检测并且包含开源的安全帽数据集）
quanquan-m/Helmet-Wearing-Recognition-System
First, a variety of YOLO models are selected for training. During the training process, parameters are constantly modified according to various indicators of model evaluation to adjust the model structure. Finally, the YOLOv5 model with high accuracy and the YOLOv3 tiny model with high frame rate are selected. Then, the front and rear ends are built, and functions such as data statistics, image detection based on YOLO model, and real-time monitoring of helmet wearing by video stream are realized.
KrishArul26/Motorbike-Helmet_detection-using-YOLOV3
This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.