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semantic-segmentation-unet's Introduction

semantic-segmentation-unet

Problem

Image Semantic Segmentation.

Used Libraries

  1. Segmentation_models (https://segmentation-models.readthedocs.io/en/latest/)
  2. Tensorflow
  3. Matplotlib

Used dataset

https://www.kaggle.com/datasets/residentmario/ade20k-outdoors

Algorithm

Trained UNet model. Image input shape - 256x256.

Labels:

  1. unknown
  2. building
  3. sky
  4. tree
  5. road
  6. human
  7. water
  8. streetlight
  9. mountatin
  10. car
  11. bicycle
  12. animal
  13. bridge
  14. ground
  15. grass
  16. pole
  17. trafficlight
  18. motorbike

Architecture:

model_plot

Current Best Model

You can download the best model here - https://drive.google.com/drive/folders/14p1CXtTpotvRcRYym6AmzA8_zfZI4Trq?usp=sharing

Installation

  1. Download the model and place it in the folder with the project.
  2. cd to the folder
  3. python3 nn_interpretation.py

Examples

Снимок экрана 2022-10-05 в 18 25 01

Снимок экрана 2022-10-05 в 19 09 34

Снимок экрана 2022-10-05 в 19 09 46

Снимок экрана 2022-10-05 в 18 25 14

Снимок экрана 2022-10-05 в 18 25 28

Снимок экрана 2022-10-05 в 18 25 45

Снимок экрана 2022-10-05 в 18 26 16

Снимок экрана 2022-10-05 в 18 26 53

semantic-segmentation-unet's People

Contributors

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Watchers

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