SUNNYVALE, Calif.--(BUSINESS WIRE)--Cloudinary today debuted three new Amazon Rekognition features that will allow developers to integrate image analysis and recognition capabilities into their image management workflow. Amazon Rekognition is the newest addition to Cloudinary’s marketplace, which brings image innovation and cutting-edge technologies to its users. By leveraging Amazon Rekognition’s image moderation, auto tagging, and celebrity detection, Cloudinary users can easily add reliable and scalable automated image analysis to their web and mobile applications, helping them to consistently tag and categorize images within their library and eliminate concerns about explicit or suggestive user-generated content.
“Cloudinary has worked closely with Amazon Web Services (AWS) to bring this solution to life,” said Daniel Amitai, vice president of Business Development at Cloudinary. “Our integration with Amazon Rekognition takes this relationship to the next level, eliminating the tedious work of manually analyzing image content and allowing users to automatically categorize images as part of their existing image management workflow.”
Amazon Rekognition leverages deep neural network models to detect and tag people, objects and scenes in images. In addition to supporting the creation of a rich, searchable library, customers can use these features to get insights into the images that users upload, making it easier for app developers to create dynamic content that will increase user engagement and conversion.
The following features are now available from Cloudinary:
- Artificial Intelligence (AI) Moderation – This add-on automatically moderates all photos uploaded to an application using the Amazon Rekognition deep learning algorithms, verifying that any images uploaded and delivered via Cloudinary APIs meet defined criteria regarding explicit or suggestive content.
- Object and Scene Detection – This add-on automatically categorizes and tags images – identifying thousands of objects, such as vehicles, pets, or furniture, as well as scenes within an image, such as a sunset or beach – to make it easy to add features that search, filter and curate large image libraries.
- Celebrity Detection – This feature detects and recognizes thousands of individuals who are famous, noteworthy, or prominent in their fields, enabling users to index and search digital image libraries for celebrities based on particular interests.
“Customers are increasingly looking for innovative ways to generate more data around their media assets to derive actionable business insights,” said Ranju Das, Director of Amazon Rekognition, Amazon Web Services, Inc. “By using Amazon Rekognition, Cloudinary is bringing this technology closer to its clients so they can build their own unique experience.”
Earlier this year, Cloudinary also achieved Advanced tier Technology Partner and Marketing & Commerce Competency Partner status in the AWS Partner Network (APN).
Cloudinary provides end-to-end media management. More than 250,000 developers and 5,000 companies rely on Cloudinary’s powerful cloud-based solution to automate and streamline their entire media asset workflow, from upload and manipulation to optimization and delivery. The scalable solution delivers results for businesses of all sizes - from small start-ups to large companies with demanding media management needs - including BuzzFeed, Taboola, Under Armour and Whole Foods. Founded in 2011, the company has offices in Sunnyvale, Calif., and Tel Aviv, Israel. For more information, visit www.cloudinary.com or follow on Twitter @cloudinary.