Image Classification
Explore the fundamentals of image classification and understand how various supervised learning algorithms such as SVM, KNN, and decision trees categorize images. Learn the principles behind these techniques and their applications before focusing on convolutional neural networks for more advanced tasks.
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What is image classification?
Image classification, also known as image recognition, is used to classify an image based on its features. It has several practical applications, such as object detection, object recognition in self-driving cars, anomaly detection in medical images, image classification in social media posts, and more. The following block diagram illustrates how images are classified:
Many techniques are used for image classification, including support vector machines, k-nearest neighbors, decision trees, random forests, ensemble ...
Support vector machines
A support vector machine (SVM) is a ...