Amazon Rekognition content moderation is a deep learning-based service that can detect inappropriate, unwanted, or offensive images and videos, making it easier to find and remove such content at scale. Amazon Rekognition provides a detailed taxonomy of moderation categories such as ‘Explicit Nudity’, ‘Suggestive’, ‘Violence’, and ‘Visually Disturbing’. Starting today, customers can detect 6 new categories – ‘Drugs’, ‘Tobacco’, ‘Alcohol’, ‘Gambling’, ‘Rude Gestures’, and ‘Hate Symbols’. In addition, customers also get improved detection rates for already supported categories. Using Amazon Rekognition moderation APIs, social media, broadcast media, advertising, and e-commerce customers can create a better user experience, provide brand safety assurances to advertisers, or comply with local and global regulations.
Amazon RDS for SQL Server now supports parameter changes for full-text search. Full-text search in SQL Server lets users and applications run full-text queries against character-based data in SQL Server tables.