Volume 48: Amazon Rekognition1/2
  1. 01Lessons 1-10
  2. 02Lessons 11-20

Chapter 01 of 02

Lessons 1-10

10 lessons20 min readingParts 983-992
  1. 01Rekognition: Describe collection from the CLIUse the AWS CLI to describe collection in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  2. 02Rekognition: Describe dataset from the CLIUse the AWS CLI to describe dataset in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  3. 03Rekognition: Describe project versions from the CLIUse the AWS CLI to describe project versions in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  4. 04Rekognition: Describe projects from the CLIUse the AWS CLI to describe projects in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  5. 05Rekognition: Describe stream processor from the CLIUse the AWS CLI to describe stream processor in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  6. 06Rekognition: Get celebrity info from the CLIUse the AWS CLI to get celebrity info in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  7. 07Rekognition: Get celebrity recognition from the CLIUse the AWS CLI to get celebrity recognition in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  8. 08Rekognition: Create collection from the CLIUse the AWS CLI to create collection in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  9. 09Rekognition: Create dataset from the CLIUse the AWS CLI to create dataset in Rekognition, identify required inputs, and inspect the modeled response.2 min read
  10. 10Rekognition: Create face liveness session from the CLIUse the AWS CLI to create face liveness session in Rekognition, identify required inputs, and inspect the modeled response.2 min read