DimitrisReppas / semantic-segmentation_of_aerial_images

The primary objective of the project is to to develop an intelligent system that segments aerial images. In addition, exploratory data analysis, preprocessing of data, and thorough evaluation of experimental results are a few of the steps performed.

Semantic segmentation of aerial images

The primary objective of the project is to to develop an intelligent system that segments aerial images. In addition, exploratory data analysis, preprocessing of data, and thorough evaluation of experimental results are a few of the steps performed.

Run locally

To run the project locally:

  git clone https://github.com/DimitrisReppas/semantic-segmentation_of_aerial_images.git

Requirements

To install the requirements:

  pip install -r /path/to/semantic-segmentation_of_aerial_images/requirements.txt

Code and Report

• The code, to achieve the goals of this project, and the results can be found aerial_images_sem_segmentation.ipynb

• The report and a brief discussion of the results can be found inside the notebook.

Contact information

mail: [e-mail]

For any clarification do not hesitate to send me.