Visual Search from Particular Audience

oleh Particular Audience

(1 peringkat)

Visual Search allows shoppers to search your website by uploading an image, screenshot or photograph

Keyword search is inadequate for the visual web, for items outside of electronics and white goods the metadata simply does not exist. Furnishing and fashion present a complex problem whereby attribute tagging alone cannot account for the rich variety of design. To solve this problem, Particular Audience has developed computer vision technology complete with feature recognition, object detection and visual similarity scoring.

Leading online retailers work with Particular Audience to offer their shoppers visual search functionality, improving product discovery and engagement on the retailers own website.

Such computer vision technology is applicable to apparel, shoes, furniture, homewares, jewellery and any other visually distinct item for sale. Visual search does not replace text or voice based search, it simply complements those technologies to offer a complete search experience.