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resnet34-unet's Introduction

Resnet34-Unet

This segmentation model is an UNET architecture with ResNet34 as encoder background.

๐ŸŒŸ Architecture Diagram

๐Ÿ“ท *Diagram will be uploaded later

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๐Ÿƒ Run

Clone the project

  git clone https://github.com/GohVh/resnet34-unet.git

Open your Jupyter notebook/Google Colab notebook

  %run main.py
  %run predict.py

๐Ÿšฉ Results

Loss

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Score

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Accuracy

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Predicted results

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๐Ÿค Contact

๐Ÿ’Ž Acknowledgements

The dataset used in this project is a Semantic Drone Dataset focuses on semantic understanding of urban scenes for increasing the safety of autonomous drone flight and landing procedures. This dataset is prepared by a team of members from Institute of Computer Graphics and Vision, Graz University of Technology.

Below are the journal papers of two architectures used in this project:

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