Hand-on Real Industrial Machine Learning / AI Project (in Computer Vision)

This project focuses on topics:

• Hands-on programming using NumPy
• Hands-on programming using Pytorch
• Hands-on Computer Vision Project1 - Handwritten digits classification using ANN
• Hands-on Computer Vision Project2 - Handwritten digits classification using CNN
• Hands-on Computer Vision Project3 - Dog and cat image classification using CNN
• Hands-on Computer Vision Project4 - Dog and cat image classification using pre-trained CNN
• Hands-on Computer Vision Project5 - Object detection with YOLO

Built With

• Python3
• Numpy
• Pytorch
• YOLO

Prerequisites

1. Clone the repo
2. pip install -r requirements.txt

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

References

Yolo https://arxiv.org/abs/2004.10934

Darknet https://github.com/pjreddie/darknet

Pytorch https://pytorch.org/