63 - Image Segmentation using traditional machine learning Part1 - FeatureExtraction

This is part 1 of the 5 part series tutorials that covers the topic of image segmentation using feature engineering and random forest classification. In this tutorial you'll learn how to extract features from your training images and organize the data in Pandas data frame to be ready for machine learning classification. The code from this video is available at: https://github.com/bnsreenu/python_for_microscopists Dataset for semantic segmentation can be downloaded from here: https://drive.google.com/file/d/1HWtBaSa-LTyAMgf2uaz1T9o1sTWDBajU/view