Visual Search Powered By Computer Vision

The Problem

Customers on e-commerce platforms and other websites have primarily used the search bar for discovering new products or information. Traditional form of search does not allow customers to search for products they’ve found images of on social media or other websites. Can an effective solution be created for visual search using AI?

Solution

Computer Vision and Machine Learning models deployed on Kranium can be used to power Visual Searches on websites. These models can be trained to identify products from images and list similar results for customers. Such models also eliminate the need for manual tagging of products, which can pretty time consuming and tedious for a large dataset. Customers also do not need to know the name of the brand or other jargons to find the product quickly.