This repository contains example code snippets showing how Amazon Rekognition can be used to approach a number of technical challenges.
In each folder, you'll find a number of Jupyter Notebooks that you can use to learn about Amazon Rekognition.
- Rekognition APIs
- Virtual Proctoring
- Facial Recognition Best Practices
- Custom-Labels
- Identity Verification
- Content-Moderation-Evaluation
- Content-Moderation-Workshop
See CONTRIBUTING for more information.
This sample code is made available under the MIT-0 License. See the LICENSE file.