Rekognition Custom Labels Guide Rekognition Custom Labels Guide Rekognition: Custom Labels Guide Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Rekognition Custom Labels Guide Table of Contents What Is Amazon Rekognition Custom Labels? ........................................................................................ 1 Key Benefits .............................................................................................................................. 1 Are You a First-Time Amazon Rekognition Custom Labels User? ....................................................... 2 Choosing to Use Amazon Rekognition Custom Labels ..................................................................... 2 Amazon Rekognition Label Detection ................................................................................... 2 Amazon Rekognition Custom Labels ..................................................................................... 2 Terminology .............................................................................................................................. 3 Assets ............................................................................................................................... 3 Object Detection ................................................................................................................ 3 Confidence Score ............................................................................................................... 4 Dataset ............................................................................................................................. 4 Evaluation ......................................................................................................................... 4 Image Label ...................................................................................................................... 4 Bounding Box Label ........................................................................................................... 4 Model Performance Metrics ................................................................................................. 5 Training ............................................................................................................................ 5 Testing .............................................................................................................................. 5 Setting up Amazon Rekognition Custom Labels ..................................................................................... 6 Step 1: Create an AWS account .................................................................................................... 6 Step 2: Create an IAM administrator user and group ....................................................................... 6 Step 3: Set Up the AWS CLI and AWS SDKs ................................................................................... 7 Step 4: Set Up Permissions ......................................................................................................... 8 Allowing console access ...................................................................................................... 8 Accessing external Amazon S3 Buckets ................................................................................. 9 Policy updates for using the AWS SDK ................................................................................ 10 Step 5: (Optional) Encrypt training files ...................................................................................... 10 Decrypting files encrypted with AWS Key Management Service .............................................. 10 Encrypting copied training and test images ......................................................................... 11 Getting started ................................................................................................................................ 12 Tutorial videos ......................................................................................................................... 12 Example projects ...................................................................................................................... 12 Image classification .......................................................................................................... 13 Multi-label image classification .......................................................................................... 13 Brand detection ............................................................................................................... 13 Object localization ............................................................................................................ 14 Using the example projects ....................................................................................................... 14 Creating the example project ............................................................................................. 14 Training the model ........................................................................................................... 15 Using the model .............................................................................................................. 15 Next steps ....................................................................................................................... 15 Step 1: Choose an example project ............................................................................................. 15 Step 2: Train your model ........................................................................................................... 17 Step 3: Start your model ........................................................................................................... 19 Step 4: Analyze an image with your model .................................................................................. 20 Getting an example image ................................................................................................ 23 Step 5: Stop your model ........................................................................................................... 25 Step 6: Next steps .................................................................................................................... 26 Tutorials: Training a model ................................................................................................................ 28 Decide your model type ............................................................................................................ 28 Prepare your Images ................................................................................................................. 28 Create a project ....................................................................................................................... 28 Create a training dataset ........................................................................................................... 28 Create a test dataset ................................................................................................................ 29 Train your model ...................................................................................................................... 29 iii Rekognition Custom Labels Guide Evaluate your model ................................................................................................................. 29 Use your model ....................................................................................................................... 29 Improve the performance of your model ..................................................................................... 29 Tutorial: Training a model (Console) ........................................................................................... 29 Step 1: Decide your model type ......................................................................................... 30 Step 2: Prepare your images .............................................................................................. 33 Step 3: Create your project ................................................................................................ 34 Step 4: Create a training dataset ........................................................................................ 34 Step 5: Add labels ............................................................................................................ 35 Step 6: Identify objects, scenes and concepts with image-level labels ...................................... 35 Step 7: Locate objects with bounding boxes ........................................................................ 38 Step 8: Train your model ................................................................................................... 39 Step 9: Evaluate your model .............................................................................................. 40 Step 10: Start your model ................................................................................................. 41 Step 11: Analyze an image with your model .......................................................................