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Data Science in Agriculture: Land use classification.

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Explore how land use types can be classified based on aerial and satellite photographs of the earth's surface. We will learn to build our own photo masks based on ready-made masks and display them on the screen, we will learn how to upload photos, transform pixels and colors into a data set. Then we will learn how to build a classifier and predict land use masks based on it.

The stages:

  • Download and visualization of images
  • DataSet creation
  • Classification model creation
  • Create your own mask of land use

Skills I learned from this project

  • How to download and transform images.
  • Create a DataSet of the colors of images.
  • Build a classification model.
  • Build land use masks based on a classifier.

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