The objective of this post is to guide you through building an end to end machine learning pipeline involving deep learning and object detection using RESNET-50 architecture using AWS cloud computing service SageMaker. We will also discover how we can use Amazon Sagemaker Ground Truth to label large datasets within minutes.

The post will cover all the major aspects of the machine learning development lifecycle:

1. Download the dataset of images:

Before we even start downloading our dataset, we will spin up a sagemaker notebook instance: we can do so

1. Go to your console.aws.com
2. Select sagemaker service->notebook instances->create notebook instance
3. Fill in the details as shown below

#sagemaker #machine-learning #cloud-computing #object-detection #deep-learning