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Rekognition Video is a deep learning powered video analysis service that tracks people, detects activities, and recognizes objects, celebrities, and inappropriate content. Amazon Rekognition Video can detect and recognize faces in live streams. Rekognition Video analyzes existing video stored in Amazon S3 and returns specific labels of activities, people and faces, and objects with time stamps so you can easily locate the scene. | It is an application that can stabilize your video by using motion data from a gyroscope and optionally an accelerometer. |
Real-time analysis of streaming video; Person identification and tracking; Face recognition; Facial analysis; Objects, scenes, and activities detection; Inappropriate video detection; Celebrity recognition; Administration via API, console, or command line; Administrative security; API summary | Flexible workflow;
Advanced stabilization;
Modern user interface;
Maximize productivity |
Statistics | |
GitHub Stars - | GitHub Stars 7.9K |
GitHub Forks - | GitHub Forks 366 |
Stacks 7 | Stacks 0 |
Followers 11 | Followers 2 |
Votes 0 | Votes 0 |
Integrations | |

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