In this post, we discuss best practices to improve the performance of your computer vision models using Amazon Rekognition Custom Labels. Rekognition Custom Labels is a fully managed service to build custom computer vision models for image classification and object detection use cases. Rekognition Custom Labels builds off of the pre-trained models in Amazon Rekognition, which are already trained on tens of millions of images across many categories. Instead of thousands of images, you can get started with a small set of training images (a few hundred or less) that are specific to your use case. Rekognition Custom Labels abstracts away the complexity involved in building a custom model. It automatically inspects the training data, selects the right ML algorithms, selects the instance type, trains multiple candidate models with various hyperparameters settings, and outputs the best trained model. Rekognition Custom Labels also provides an easy-to-use interface from the AWS Management Console

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