This first tool is hands down the easiest option to remove the background from an image. As we look at the tools we will start with the most easy to use and then move to those that require more input from the user, but also give more control. In this post we will look at some new tools, as well as review some classic options that still have their place, and then explore fun and engaging projects students can do. It's like "green screen" without the actual green screen. Now with machine learning, most or all of the heavy lifting can be done by the computer as it is getting so much better at identifying separate items in an image. In the past, if you wanted to remove the background from an image, it was a very manual process where you would select and delete portions of the image bit by bit. The big reason for these new tools is the growth and improvement in artificial intelligence. So I figured it was time to revisit this topic, explore the new tools, and expand on the ideas for how students can use these in school. Since then, we have seen lots of new tools pop up that make the process so much easier for removing the background of an image. Last year I shared a post on finding, creating, and using transparent images in education, such as having students cut themselves out of a picture and them put themselves into a new image.
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