Ground Station antenna. 2 3 4 5 6 7 8 9 10 11 12 AWS Ground Station delivers baseband or digitized RF-over-IP data to an Amazon EC2 instance. The Amazon EC2instance receives and processes the data, and then stores the data in an Amazon S3 bucket. A Jupyter Notebook ingests data from the Amazon S3 bucket to prepare the data for training. Amazon SageMaker Ground Truth labels the images. The labeled images are stored in the Amazon S3 bucket. The Jupyter Notebook hosts the training algorithm and code. Amazon SageMaker runs the training algorithm on the data and trains the machine learning (ML) model. Amazon SageMaker deploys the ML models to an endpoint.
