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. Months ago, we prototyped a fun experiment called Move Mirror that lets you explore images in your browser, just by moving around. The experiment creates a unique, flipbook-like experience that follows your moves and reflects them with images of all kinds of human movement -- from sports and dance to martial arts, acting, and beyond.

Google has released a new machine learning experiment that can match a pose you make in real time to an image of a person making the same pose. Announced on the Google Blog, the experiment is called Move Mirror and it works using just a web browser and a webcam. You can check out a video of the experiment in action below. Google built the experiment using PoseNet, a machine learning model that detects poses by identifying the relative location of 17 body parts. The experiment feeds the input from your webcam into a database of over 80,000 images to find the image that best matches the pose.

Lots of 11-year-olds would find this a great idea, especially if the alternative was a homework assignment on French verbs. Welcome to Move Mirror, where you move in front of your webcam. Google takes to the idea of making machine learning more accessible to coders and makers. The desired outcome is inspiring them to play around with this technology. Move Mirror's intent is to show computer vision techniques such as pose estimation and to do it in fun ways.

Move Mirror is a machine learning experiment that lets you explore pictures in a fun new way, just by moving around. Move in front of your webcam and Move Mirror will match your real-time movements to hundreds of images of people doing similar poses around the world. It's kind of like a magical mirror that reflects your moves with images of all kinds of human movement--from sports and dance to martial arts, acting, and beyond.

Here's somewhere you probably didn't expect machine learning to go, but here we are anyway. Google revealed "Move Mirror" in a blog post on July 19. It's a machine learning experiment that matches your poses with images of other people in the same pose. Google also wanted to "make machine learning more accessible to coders and makers" while inspiring them to take the tech and run with it for their own applications. The "mirror" uses an open-souce "pose estimation model" from Google called PoseNet, which can detect body poses, and TensorFlow.js, a library for in-browser machine learning framework.

Google released a fun AI experiment today called Move Mirror that matches whatever pose you make to hundreds of images of others making that same pose. When you visit the Move Mirror website and allow it to access your computer's camera, it uses a computer vision model called PoseNet to detect your body and identify what positions your joints are in. It then compares your pose to more than 80,000 images and finds which ones best mirror your position. Move Mirror then shows you those images next to your own in real time and as you move around, the images you're matched to change. You can even make a GIF of your poses and your Move Mirror matches.