Tutorial 83 - Image classification using traditional machine learning

This video provides an introduction to the process of generating features and using traditional machine learning (e.g. Random Forest, SVM) for image classification. Image classification refers to labeling an entire image to a specific class (e.g. Cat, dog, barn, etc.). This approach allows you to use a handful of images to train an ML model to sort images based on texture and other features. The trained model can be used for future sorting of unlabeled images. Code associated with these tutorials can be downloaded from here: https://github.com/bnsreenu/python_for_image_processing_APEER