Video Presentations

AWS What's Next ft. Amazon Rekognition Video for Media Analysis

Liam Morrison, Principal Solutions Architect AI/ML in Media & Video demonstrates Amazon Rekognition Video for Media Analysis Streamline quality control, ad insertion, and content production using machine learning. (38:23)

AWS re:Invent 2019: Adding computer vision to your applications

Companies are using computer vision to understand the content and context of their images and videos, at scale. This breakout session provides an overview of the nuances to consider when developing your own application. We discuss multiple approaches to solve the computer-vision needs of your business and next steps to develop a model for your specific use case. (57:15)

Learn more about Amazon Rekognition Video use cases and features

This webinar provides an overview of Amazon Rekognition video, a deep learning-enabled video analysis service that tracks people, detects activities, and recognizes objects, celebrities, and inappropriate content. (41:40)

AWS re:Invent 2017 Amazon Rekognition feature updates

This presentation covers the latest Amazon Rekognition features announced at AWS re:Invent 2017, including real-time face recognition, Text in Image recognition, and improved face detection. (46:34)

Leverage ML services to enhance content recommendations

This webinar dives deep into how customers can use Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend, to deliver more relevant content by using extracted metadata. (48:38)

Tutorials

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Customize image and video analysis with AI

With Amazon Rekognition Custom Labels

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Detect, Analyze, and Compare Faces

With Amazon Rekognition

Discover more Amazon Rekognition resources

Visit the resources page
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