Deep Dive into Object Detection with Open Images, using Tensorflow - Algorithmia Blog

The new Open Images dataset gives us everything we need to train computer vision models, and just happens to be perfect for a demo! Tensorflow's Object Detection API and its ability to handle large volumes of data make it a perfect choice, so let's jump right in… Open Images is a dataset created by Google that has a significant number of freely licensed annotated images. Initially it contained only classification annotations, or in simpler terms it had labels that described what, but not where. After a major version update to 2.0, more annotations were added – of particular importance were the introduction of object detection annotations. These new annotations not only described what was in a picture, but where it was located, by defining the bounding box (bbox) coordinates for specific objects in an image.