The project is a demonstration of how YOLOv5 can be used for automating image annotation. The project includes a Python script that uses YOLOv5 to detect and label objects in images, streamlining the time-consuming and tedious task of manual annotation.
First of All clone Yolov5 from Ultralytics as follows
git clone https://github.com/ultralytics/yolov5.git
next install requirements
cd yolov5
then
pip install -r requirements.txt
After installing requirements run download the annotation.ipynb file. Put it in Yolov5 directory and run