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This project has two stages, in the first stage, using YOLOv8, we will recognize and count cars in a crossroads, and in the next step, using the data collected by the first model, we will train the model to be able to Predict the traffic flow at a specific time.

License: Apache License 2.0

Python 100.00%

automated-car-tracking-and-traffic-prediction's Introduction

Hi 👋, I'm Hasibullah Aman

MERN Stack Developer and Web Developer with a passion for Deep Learning and Computer Vision projects from Afghanistan.

🔭 I’m currently working on ATL(AI Enable Traffic 🚥)
🌱 I’m currently learning Tensorflow
👨‍💻 All of my projects are available at https://github.com/HasibullahAman/HasibullahAman
📝 I regularly write articles on https://medium.com/
💬 Ask me about ML,DL
📫 How to reach me [email protected]
📄 Know about my experiences https://www.upwork.com/freelancers/~01292b5b876dd2115f
⚡ Fun fact I have a tendency to compare my work to that of others

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