Google's Inception model (https://github.com/google/inception) has been trained on millions of images to help with one of the growing questions in our society—what is in my image? The type of applications wanting to answer this question range from matching faces, automatically detecting weapons or unwanted objects, sports branding in game pictures (such as the brand of sneakers), and image archivers that provide users with the support they need to search without manual tags, to name just a few.
This type of question is typically answered with object recognition. An application of object recognition that you might already be familiar with is optical character recognition (OCR). OCR is when an image of characters can be interpreted as text, such as what is found in Microsoft's OneNote Handwriting to Text feature, or in a toll booth that reads license plates. The particular application of object recognition that we will be looking...
