L1_04_Image_Segmentation_with_Deep_Learning

L1 - 04: Image Segmentation with Deep Learning

Overview

This is a set of image segmentation projects using deep learning.

Contributing

If you want to contribute to this project, you are welcome to do so. You can either add new projects, improve existing ones, or fix bugs and errors.

Please follow these steps to contribute:

• Fork this repository and clone it to your local machine.
• Create a new branch with a descriptive name for your contribution.
• Add your code and files to the branch and commit your changes.
• Push your branch to your forked repository and create a pull request to the main repository.
• Wait for your pull request to be reviewed and merged.

References

• Deep Learning and CNNs:

  • But what is a neural network? | Chapter 1, Deep learning - 3blue1Brown

• Fully Convolutional Network (FCN) Explained - Papers With Code

  • Paper: https://arxiv.org/pdf/1411.4038.pdf
  • Code: https://github.com/Jackey9797/FCN

• The SegNet (FCN challenger)

  • SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

• Keras - Image segmentation with a U-Net-like architecture