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AWS Rekognition

Moderating Content / Content Moderation / Community Moderation

You can use Amazon Rekognition to detect content that is inappropriate, unwanted, or offensive. You can use Rekognition moderation APIs in social media, broadcast media, advertising, and e-commerce situations to create a safer user experience, provide brand safety assurances to advertisers, and comply with local and global regulations.

Today, many companies rely entirely on human moderators to review third-party or user-generated content, while others simply react to user complaints to take down offensive or inappropriate images, ads, or videos. However, human moderators alone cannot scale to meet these needs at sufficient quality or speed, which leads to a poor user experience, high costs to achieve scale, or even a loss of brand reputation. By using Rekognition for image and video moderation, human moderators can review a much smaller set of content, typically 1-5% of the total volume, already flagged by machine learning. This enables them to focus on more valuable activities and still achieve comprehensive moderation coverage at a fraction of their existing cost. To set up human workforces and perform human review tasks, you can use Amazon Augmented AI, which is already integrated with Rekognition.

Top-Level CategorySecond-Level Category
Explicit NudityNudity
Graphic Male Nudity
Graphic Female Nudity
Sexual Activity
Illustrated Explicit Nudity
Adult Toys
SuggestiveFemale Swimwear Or Underwear
Male Swimwear Or Underwear
Partial Nudity
Barechested Male
Revealing Clothes
Sexual Situations
ViolenceGraphic Violence Or Gore
Physical Violence
Weapon Violence
Weapons
Self Injury
Visually DisturbingEmaciated Bodies
Corpses
Hanging
Air Crash
Explosions And Blasts
Rude GesturesMiddle Finger
DrugsDrug Products
Drug Use
Pills
Drug Paraphernalia
TobaccoTobacco Products
Smoking
AlcoholDrinking
Alcoholic Beverages
GamblingGambling
Hate SymbolsNazi Party
White Supremacy
Extremist

Abusive

profane words

Amazon Transcribe

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Starting today, when transcribing audio streams, you can instruct Amazon Transcribe to automatically mask, remove, or tag specific terms in the transcription results based on a vocabulary that you specify. For example, you can use a vocabulary filter to automatically remove profane words from the transcription results for content moderation or generating family-friendly captions. You can create a vocabulary filter once and use it when processing multiple audio streams. You can also create multiple vocabulary filters and choose which one should be used for a particular audio stream. With this launch, vocabulary filtering is now available for both Amazon Transcribe's batch and streaming transcription APIs.

You can use streaming transcription to efficiently and accurately generate transcripts for diverse use cases, such as transcribing calls for contact centers, automatically generating captions for live media broadcasts, and capturing meeting notes for business productivity.

Vocabulary filtering is available for streaming transcription at no additional cost in all the AWS regions where Amazon Transcribe streaming service is available. To learn more, visit the Amazon Transcribe documentation page.