Computer vision allows machines to identify people, places, and things in images with accuracy at or above human levels with much greater speed and efficiency. Often built with deep learning models, it automates extraction, analysis, classification and understanding of useful information from a single image or a sequence of images. The image data can take many forms, such as single images, video sequences, views from multiple cameras, or three-dimensional data. Applications are far-reaching, from identifying defects in high speed assembly lines - to autonomous robots - to the analysis of images - to identifying brands and people in social media.
“As a visually-driven platform, Pinterest relies heavily on the speed and quality of images, but the text behind those images is just as important, as it provides context and makes Pins actionable for our 200M+ active Pinners. In working with Amazon Rekognition Text in Image, we can better extract the rich text captured in images at scale and with low latency for the millions of Pins stored in Amazon S3. We look forward to continuing to develop the partnership with AWS for high quality and fast experiences for Pinners and businesses on Pinterest.”
Vanja Josifovski, Chief Technology Officer - Pinterest