Information

Section: Part 2 - Image data
Goal: Understand how to assess and change the quality of image data.
Time needed: 2 h 20 min
Prerequisites: Introduction about machine learning experiments

Part 2 - Image dataΒΆ

In the second part, we will explore the concept of image quality, and more globally have a look at diverse methods to increase the quality of a single image as well as the general quality of a dataset constituted of images.

This part will go as follow:

  • Introduction to image processing: how the image is represented in a computer and how it can be used for a machine learning experiment

  • Single image quality: how to assess the quality of a single image, based on features numerically computable, and how to modify an image to increase its quality for machine learning

  • Quality of a dataset of images: how to increase the quality of a bunch of images together to get better results in a machine learning experiment

  • General conclusion, quiz and practical task