Continuing the analysis of images on hospital site’s home pages, this post takes a look at the type of images that are presented. It does so by making use of IBM’s Watson Visual Recognition library, which can identify objects in an image and make classifications accordingly.  Each one of the images referred to in the previous post was used to come up with the following classifications.

​This is the first on a series of posts that analyzes the images on the home pages of hospital sites. This post in particular takes a look at all the images that make up a web page and finds the largest on each as determined by its size in kilobytes. Using the list on Seed #2, I created a script that accomplishes this task.