ModerateContent
Trusted across the internet to protect communities against offensive content. With an API that couldn't be easier to integrate into your website, app or platform. Analyze an anime (animated) image and rate it for the appropriateness of it's content for a type of audience - adult, teen, everyone. Tags images with detected labels. Detects names any visible anime characters. Detects copyrights (if any) of image content. Analyze text and return any bad words founds for 27 languages, also returns cleaned version of the text. Analyze an image and return the text found in the QRcode. Analyze an image and rate it for the appropriateness of its content for a type of audience - adult, teen, everyone.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Hive Moderation
Hive’s complete solution to protect your platform.
Mobilizing the world's largest distributed workforce of humans labeling data, we are raising the bar for automated content moderation. We offer both best-in-class
models as well as manual moderation, allowing us to provide solutions at scale and
outperform contract workforces of business process outsourcers (BPOs).
In addition to our best-in-class models, our distributed workforce can meet a variety of manual moderation needs. Whether you want to manually moderate user content or annotate training data at scale, our distributed system and consensus policy provide a level of precision that our competitors cannot.
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Community Sift
AI-powered chat filter and content moderation platform for social networks. A powerful, scalable, and automated content moderation platform for social products. Simply connect to our API to moderate text, usernames, images, and videos in real time. Two Hat’s AI-powered content moderation platform classifies, filters, and escalates more than 102 billion human interactions, including messages, usernames, images, and videos a month, all in real-time. With an emphasis on surfacing online harms including cyberbullying, abuse, hate speech, violent threats, and child exploitation, we enable clients across a variety of social networks to foster safe and healthy user experiences. Maintain autonomy over your content moderation practices with the agency to adjust your settings, create flexible workflows, make real-time updates, and have full transparency into our solution. During a real-world crisis on your platform where real lives matter every second counts.
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