Nick Bortolotti

In previous publications we were using TensorFlow in combination with the Object Detection model, but always making use of the traditional pre-established datasets [example COCO database ]. This time our challenge should take us another level and I will propose analyze a segment of a soccer game and identify its players [at least one of them]. When talking about soccer, the first thing that came to mind is look for the talented Argentinian star Lionel Messi. I will propose something: Let’s train a personalized model that allows us to locate Argentine star. Let’s analyze a real transmission [in this case I selected Uruguay-Argentina by Conmebol qualifying August 31, 2017] to see what results we can get. Let us think if it is possible to improve or contribute something to the tactics of this passionate sport, using this technology. Note: We will use TensorFlow and the proposed model for Object Detection , all under the Apache License 2.0 license. In this opportunity I will