An image dataset is a collection of images that are commonly used to train machine learning algorithms. These datasets can vary in size and complexity, from small collections of a few hundred images to large datasets with millions of images. Image datasets are often labeled, which means that each image has been annotated with a category or class that it belongs to. This allows the machine learning algorithm to learn the relationship between the image and the corresponding label, and to make predictions about the class of an unseen image. There are many publicly available image datasets that can be used for research and development in the field of computer vision and machine learning.
This tutorial shows how to use Convolutional Neural Networks (CNNs) with Python for image classification. CNNs belong to the field of deep learning, a subarea of machine learning, and have become a cornerstone to many exciting innovations. There are endless applications, from self-driving cars over biometric security to automated tagging in social media. And the … Read more
