Auto Image Tagging by Mood Using AI

ArtPlayer has developed a custom Mood image algorithm which can automatically tag the visual mood of the whole image into eight mood categories: Anger, Disgust, Fear, Sadness, Amusement, Awe, Contentment and Excitement. The mood algorithm is developed using image recognition technology based on artificial intelligence and machine learning.

The main purpose of the mood algorithm is to be able to sort art images into different moods that can be streamed to TV screens and digital signage. However, ArtPlayer is offering the mood algorithm as an API for other use cases such as tag, sort and search your own images by mood. For example to museums, media and e-commerce companies with large image collections.

Research has shown that positive moods give a kind of rosy-colored glasses effect, which makes products seem more desirable. Conversely, negative moods will have an unwanted effect on purchasing decisions. According to the old saying, this applies not least to images: "An image says more than 1,000 words", where especially positive images can boost the conversion rate and thus increase the percentage of visitors to a website that converts to customers or a desired action. Several examples have shown that you can increase the conversion rate by 10-40% switching to more positive and engaging images.
​
Below are image examples tagged with confidence scores using the mood algorithm.

​Contact us if interested in the Mood API