Why Amazon Rekognition Content Moderation?
Amazon Rekognition Content Moderation automates and streamlines your image and video moderation workflows using machine learning (ML), without requiring ML experience. Process millions of images and videos efficiently while detecting inappropriate or unwanted content, with fully managed APIs and customizable moderation rules to keep users safe and the business compliant. Pay only for what you use, without minimum fees, licenses, or upfront commitments.
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Benefits of Amazon Rekognition Content Moderation
Use cases
Customers
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CoStar
CoStar is a leader in commercial real estate information, analytics, technology, and news, with one of the most comprehensive data platforms on the market, processing more than 150,000 images that are uploaded to its platform daily.
For CoStar, it is imperative that images uploaded to our platform comply with the terms of our end user agreement and do not contain inappropriate content, so that we can ensure an inclusive, safe, and data-driven user community. Amazon Rekognition's Content Moderation API enabled us to easily build a solution to automatically analyze all uploaded images, allowing us to efficiently deliver high-value products to our customers. Amazon Rekognition offers a suite pre-trained computer vision APIs, which along with content moderation, text detection, and object detection, help us further improve our product offerings by making the images we receive more discoverable and our community more inclusive. Amazon Rekognition allows us to move quickly and add AI smarts to our systems with its pre-trained models, helping us stay focused on delivering unique solutions to the real estate sector.
Mark Osborn, Principal Software Engineer, CoStar Group -
Dream11
Dream11 allows users to post videos and pictures and share images in group chats. The company uses Amazon Rekognition to automate the media analysis of thousands of assets each day as part of its content moderation process to protect and deliver engaging experiences to its 100 million users.
Every decision we make is backed by data and technology, considering various metrics to continually add ‘wow factors’ that help retain customers. AWS promotes a user-first culture, with intuitive cloud-native services that help us launch things fast without any dependencies. The various AWS technology offerings help us develop our prototypes and make them live very quickly, even at a massive scale. This gives us a competitive edge in the market, where speed is essential.
Praveen Jain, Vice President of Engineering, Dream11 -
SmugMug
SmugMug operates two very large online photo platforms, SmugMug and Flickr, enabling more than 100M members to safely store, search, share, and sell tens of billions of photos. Flickr is the world's largest photographer-focused community, empowering photographers around the world to find their inspiration, connect with each other, and share their passion with the world.
As a large, global platform, unwanted content is extremely risky to the health of our community and can alienate photographers. We use Amazon Rekognition's content moderation feature to find and properly flag unwanted content, enabling a safe and welcoming experience for our community. At Flickr's huge scale, doing this without Amazon Rekognition is nearly impossible. Now, thanks to content moderation with Amazon Rekognition, our platform can automatically discover and highlight amazing photography that more closely matches our members' expectations, enabling our mission to inspire, connect, and share.
Don MacAskill, Cofounder, CEO & Chief Geek, SmugMug -
ZOZO Inc.
ZOZO Inc. owns and operates ZOZOTOWN, Japan's largest fashion ecommerce, and WEAR, a SNS for sharing stylings and outfits, and more various services for fashion lovers.
A large number of images are posted on WEAR from our users every day, and it was necessary to check every image to ensure that it complied with the service guidelines. We built a solution based on Amazon Rekognition Content Moderation API that automatically inspects to analyze the content that users post and store in Amazon S3. Amazon Rekognition has helped us cut down the manual content review process by up to 40% by automatically analyzing images. We were also able to reduce escalating reviews to supervisors that would have slowed down content operations when a person could not determine if an image was appropriate or not.
Yu Shigetani, Engineer, Brand Solution Development Division, ZOZO Inc.