Hands-On Transfer Learning with Python

Working with image data

Image or visual data is a rich source of data, with several use cases that can be solved using ML algorithms and deep learning. Image data poses a lot of challenges and requires careful preprocessing and transformation before it can be utilized by any of the algorithms. Some of the most common ways of performing feature engineering on image data are as follows:

• Utilize metadata information or EXIF data: Attributes such as image creation date, modification date, dimensions, compression format, device used to capture the image, resolution, focal length, and so on.
• Pixel and channel information: Every image can be considered as a matrix of pixel values or a (m, n, c) matrix where m represents the number of rows, n represents ...