YOLOv5 Object Detection Model he notebook appears to be focused on setting up and training a YOLOv5 model for object detection, potentially for a custom dataset related to road conditions or other ...

Give this repo a ⭐ and contribute! This repository contains a project demonstrating object detection using the YOLOv5 model, integrated with OpenCV for image processing and Streamlit for a ...

You can also use the Yolov5 model using PyTorch Hub. Conclusion. We have gone through the history of YOLO object detection models and also seen a simple tutorial to check the accuracy of this ...

In this paper, a YOLOv5 lightweight object detection algorithm using a Ghost module and Transformer is proposed for USVs. Firstly, in the backbone network, ... Figure 1 shows the detailed flowchart of ...

However, the current YOLO technology is lack of detection accuracy for small objects, which may lead to potential risks and uncertainties in scenarios that require high-precision detection. Thus, this ...

The YOLOv5s is a light object detector with high performance, making it suitable for real-time object detection and easy to deploy on an edge computing platform in the field. The architecture of the ...