"Emoji Scavenger Hunt" is based on which domain of AI?
Answers
Answer:
Computer Vision
Explanation:
Emoji Scavenger Hunt: A game based on Computer Vision where the machine initiates the game by showing an emoji. The participant is expected to show a similar object in-front of the camera while the machine keeps on guessing what is being shown to it.
Answer:
Emoji Scavenger Hunt. We’ll show you how we used TensorFlow to train a custom model for object recognition and how we use that model on the web front-end with TensorFlow.js. We’ll also go over some of the challenges and workarounds when using browser APIs for camera access and text-to-speech. All the code for this game is open source and available on Github.
Explanation:
Emoji Scavenger Hunt is a fun experimental game where you are shown an emoji and you have a set number of seconds to find the real world equivalent object and point your phone camera at it, extending your timer. As you play and find emojis in the real world, the subsequent emojis shown increase in difficulty. Starting out with objects you are likely to have on hand like a shoe, book or your own hand :) and progressing to things like a banana, a candle or even a scooter.
Our goal is to showcase machine learning technology at work in a fun, interactive way.