Imagga enables companies to implement image-based search capability into their software systems and applications. The technology is based on deep learning and extraction of visual and semantic features during categorization that are used as matching criteria during the search. After extracting metadata from the image, it digs through the index of images and retrieves the best results based on semantics, color, category or functional similarity. For highest accuracy results retrieval, the features relevant for the image database can be custom defined.
The visual search technology represents an exciting opportunity for fashion, home décor and furniture online retailers to improve product discovery and ease barriers to purchase. Imagga visual similarity search technology can be applied to any visual dataset regardless of the industry or the use case.
Make product discovery easier by enabling users to search for similar items within an index by uploading an image from the web or one they took themselves.
Achieve the highest possible search precision rate for a delightful user experience. Let our expert machine learning team help you customize the features relevant to you image database.
Help your e-commerce customers increase conversions by displaying similar products to offer bigger choice or alternatives to products out of stock.
Imagga Visual Similarity Search API features a scalable infrastructure capable of serving large amounts of requests within large search pools.
It is an industry standard that each item is color discoverable. This is important for product suggestion, product search, and customer interaction. Since suppliers images lack product color specifications, Deliety needed to develop additional data fields to improve product discovery.Read The Full Story
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