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Deep Learning Based Building Detection with Satellite Imagery

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Picogeek06/FinalYear_Project

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FINAL YEAR PROJECT CSE_2020

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

Authors of Code

  • GOPAL KRISHNA MISHRA
  • SIDHARTH BISAL
  • ISHAN AYUS
  • BISHNU PRASAD SAHOO
  • ATITHEE APOORVA