I just wrapped up a challenging computer vision project and have been thinking about lessons learned. Before we started the project, I looked for information about what was possible with the latest technology.
We used the Tensorflow Object Detection API as the main tool for creating an object detection model. I wanted to share, in general terms, some of the discoveries. My goal is to give someone else who is approaching a computer vision problem some information which may help guide their choices.