Move Mirror: An AI Experiment with Pose Estimation in the Browser using TensorFlow.js

By Jane Friedhoff and Irene Alvarado, Creative Technologists, Google Creative Lab

Pose estimation, or the ability to detect humans and their poses from image data, is one of the most exciting — and most difficult — topics in machine learning and computer vision. Recently, Google shared PoseNet: a state-of-the-art pose estimation model that provides highly accurate pose data from image data (even when those images are blurry, low-resolution, or in black and white). This is the story of the experiment that prompted us to create this pose estimation library for the web in the first place.

https://medium.com/tensorflow/move-mirror-an-ai-experiment-with-pose-estimation-in-the-browser-using-tensorflow-js-2f7b769f9b23