Build, train, and ship custom deep learning models using a simple visual interface.
PHBench is using machine emotional intelligence to measure products reception at ProductHunt. A bunch of strongly worded comments can bring a mammoth product down.
Sentigrade measures Customer Satisfaction (CSAT) scores, Net Promotor Scores (NPS), or Raving Fan Index (RFI) scores. It quickly allows you to score each incoming communication to guide your response prioritization respectful to the sentiment of the customer.
Developers using Fritz can now track the body positions of people in images and video with Pose Estimation. Build immersive AR experiences, AI-powered sports and fitness apps, and gesture based user interfaces powered by on-device machine learning.
Study is a Facebook program that pays participants to share info about how they use apps. This helps us build better products for the Facebook community.
Recognize emotions of groups of people in various social environments. Based on a combination of deep neural networks and Bayesian classifiers.
Press Play to start!
- Make the same face as the emoji before the time runs out
- The faster you match it, the more points you get
Hit Train to improve the app!
- The Training images and emojis improve the game by training the model
- It'll recognize your emojis faster, bumping your score up in the leaderboard
See how your skills stack up!