Exploring Image Data
In this chapter, we will learn how to explore image data using various packages and libraries in Python. We will also see how to visualize images using Matplotlib and analyze image properties using NumPy.
Image data is widely used in machine learning, computer vision, and object detection across various real-world applications.
The chapter is divided into three key sections covering visualizing image data, analyzing image size and aspect ratios, and performing transformations on images. Each section focuses on a specific aspect of image data analysis, providing practical insights and techniques to extract valuable information.
In the first section, Visualizing image data, we will utilize the Matplotlib, Seaborn, Python Imaging Library (PIL), and NumPy libraries and explore techniques such as plotting histograms of pixel values for grayscale images, visualizing color channels in RGB images, adding annotations to enhance image interpretation, and performing...
