Mastering Computer Vision with TensorFlow 2.x

Analyzing images and search mechanisms in various cloud platforms

In this section, we will discuss the visual search task using three different cloud platforms—GCP, AWS, and Azure. We have already covered a visual search in Chapter 6, Visual Search Using Transfer Learning, where we learned how to compare an image vector to a large number of images in your PC directory to find the closest match based on the Euclidean distance. In this section, you will learn how to upload an image to the cloud using the REST API from your PC and the cloud search engine will search for the closest image and display it. So, all the heavy lifting will be done by the cloud engine.

Note that in this section, the basic idea of visual search is introduced. The content ...