Streamoid’s technology is built on the excellence of its image recognition software that extracts granular features and maps it to a proprietary fashion lexicon, giving a depth of product understanding that does not exist anywhere today.
We combine in-depth product knowledge with fashion rules and trends to make similar product and outﬁt recommendations like a stylist. We use Natural language understanding to capture the context, and personalize search and recommendations to each shopper.
Computer Vision is the ability to understand the content of an image. It helps us recognize the various colors, patterns, and shapes in the fashion world. These images can be anywhere - a post on Instagram, a photo in a news article, or a picture on someone's camera.
Natural Language Understanding is the capability of inferring meaning from conversational speech or text. We tailor our NLU to understand the fashion context of any word, sentence, conversation and even editorial articles or blogs.
Our ability to understand images and text, combined with various learning neural framework makes our Fashion AI toolkit extremely powerful. Streamoid’s FashionNet is a model built with a unique dataset of over 12 million fashion products - one of the largest ever made.
Our in depth understanding of fashion and its vocabulary give context to searches and accuracy to recommendations.
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