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FINAL YEAR PROJECT

About the project

  • First segmentation and classification is trained separately.
  • Then trained models are stored in pickle file.
  • Both segmentation and classification model are used in the flask to build the flask api.
  • The main job segmentation model to find all the building inside a image.
  • Then the classisication model will classify building(complete,incomplete,foundation or empty).
  • The api will produce output for image of size 512x512.

Final output

Input image

input image

Output image

output image

Author of code

  • SIDHARTH BISAL

Contributors

  • Ishan Ayus
  • Bishnu Prasad Sahoo

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