Nitin Wagh

Visual perception tasks such as vehicle or lane detection are crucial for autonomous driving systems. A common approach to implementing visual perception for autonomous driving is collecting and labeling large quantities of data and then using the labeled data to train computer vision models using deep learning algorithms.

In this workshop, we dive into the deploy module of Amazon SageMaker. Amazon SageMaker offers one-click deployment onto auto-scaling Amazon ML instances across multiple Availability Zones.

Image collection and analysis are business-critical applications that can be resource-intensive for use cases in Power and Utilities, Oil and Gas, and Manufacturing. Drone footage collection can cost $300 to $700 per circuit mile, and image analysis is costly and time-intensive.