Automatically select the most engaging content
Neon Open is an open-sourced artificial intelligence platform that predicts which images and videos will drive more clicks, likes, and shares.
|
Computers can see. With Neon Open they can feel.
Neon Open is the world’s largest and most comprehensive deep learning model and dataset that quantifies the perceived emotion of images.
It can be used in conjunction with state-of-the-art object detection models to extend the capabilities of visual AI from object detection and scene recognition to predict a real human emotional response. OBJECT DETECTION + HUMAN EMOTION == FUTURE OF VISUAL AI |
Add emotional intelligence to your AI
At Neon Open we not only share our models and source code, we share the images and raw training data used to train our deep neural networks. We outline the experimental tasks used to collect training data so that engineers, academics, artists, and individuals can expand the training set.
|
Check out our model and code on GitHub
FORECAST VISUAL TRENDS
Learn image style
Neon Open goes beyond standard object detection to learn the style of an image. Our deep learning models can be used to predict an individual's style or preference across different objects from water glasses to watches. This same capability can be used to identify images with a consistent visual identity for brands.
Learn more |
Grow revenue with more engaging images
"Not only did Neon take a significant amount of work off our hands, it also improved the
clickability of our thumbnails by 30%"
- JIM HALL, IGN ENTERTAINMENT
clickability of our thumbnails by 30%"
- JIM HALL, IGN ENTERTAINMENT
Together lets make the future open
At Neon Open we believe that for artificial intelligence to improve the lives of individuals there needs to be an open sharing of data and a free transfer of ideas.
By making our data, models, and methods freely available we welcome journalists, artists, engineers, academics, creatives, and non-profits using photos, video, and mixed reality to learn more about the data behind artificial intelligence.
By making our data, models, and methods freely available we welcome journalists, artists, engineers, academics, creatives, and non-profits using photos, video, and mixed reality to learn more about the data behind artificial intelligence.