Now is the time to make artificial intelligence
​less artificial and
​more human

Predict visual emotion using deep learning
Neon Open uses the brain's emotional response to images to inform behavioral experiments that can be crowd sourced to collect data to train convolutional deep neural networks. 
Brain response
Crowd-sourced Data
Deep learning model
Emotion prediction

Valence perception is the rapid, unconscious emotional reaction to images.

By predicting valence perception you can predict human behavior.
IMAGE PERCEPTION INVOLVES MORE THAN OBJECT RECOGNITION

A feature space to predict visual trends

Training a Convolutional Deep Neural Network (CDNN) on valence data generates a new type of feature space:
  • Images cluster based on style
  • Different objects with similar style are located nearby in the feature space
  • Tracking the location of style clusters over time allows you to model emergent trends
  • ​Custom models can be created that capture an individual's or a brand's visual identity

Ready to try?

© NEON OPEN 2017