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This sample shows you how you can use [Windows Machine Learning](https://aka.ms/winmldocsfromemoji8oss) to power a fun emotion-detecting application.
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Emoji8 is sample UWP application that evaluates your facial expressions while you imitate a random selection of emojis. The app takes in a video feed from your computer's webcam and evaluates the images with the [FER+ Emotion Recognition model (version 1.2)](https://aka.ms/emoji8emotionmodelfromoss) locally on your machine. You can tweet a gif summarizing your best scoring pics when you have an internet connection and continue playing even when you don't have one!
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Emoji8 is sample UWP application that evaluates your facial expressions while you imitate a random selection of emojis. The app takes in a video feed from your computer's webcam and evaluates the images with the [FER+ Emotion Recognition model (version 1.2)](https://github.com/onnx/models/tree/master/vision/body_analysis/emotion_ferplus) locally on your machine. You can tweet a gif summarizing your best scoring pics when you have an internet connection and continue playing even when you don't have one!
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This app will give you a great end-to-end example of how you can use the Windows ML APIs to create simple yet magical experiences.
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