In this post we'll share how we used [TensorFlow's object detection API] to build a custom image annotation service for Eyeson. Below you can seen an example where Philipp is making the "thinking" 🤔 pose during a meeting which automatically triggers a GIF reaction.
This tutorial provides a practical example of how to setup a video platform using the Eyeson API service. The application uses the [Eyeson ruby gem], the web application framework [Sinatra] and hosting platform [Heroku]. By following the steps in the how-to you will have a website up and running, providing an entry point for a shared video meeting room. The participants can join the meeting without any registration or sign up, and will return to the application website after exiting the meeting.
