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hacksprint_a1's Introduction

Data sets used

https://www.kaggle.com/datasets/andrewmvd/road-sign-detection https://www.kaggle.com/datasets/pkdarabi/traffic-signs-detection-using-yolov8

first execute pip install

pip install -r requirments.txt

init.sh/init.bat

Linux/Windows scripts respectively to download datasets from kaggle and automatically extract them

split.py

Seperate data in RoadSign into 80:20 ratio for training and validation

main.py

Used to train the model After training, best.pt file will be generated in the latest weight folder under the latest runs/detect/train folder copy best.pt to parent folder and rename it to traffic-sign.pt

videocam.py

Opens a streamlit app in the browser and detects traffic signals like speed limit, greeen or red lights Open using streamlit run videocam.py

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