Roboflow's new GitHub repository of tutorials is a great place to experiment with computer vision. You can now open these tutorial notebooks in Amazon SageMaker Studio Lab - a free machine learning development environment that provides the compute, storage, and security—all at no cost—for anyone to learn and experiment with ML.
SageMaker Studio Lab just announced a new feature at AWS re:invent that allows you to take these development notebooks written in SageMaker Studio Lab, and schedule them to move in your AWS account managed by full Amazon SageMaker. This extra capability of Studio Lab lifts the limits of the kinds and sizes of projects you can achieve.
“Our Roboflow GitHub repository provides tutorials and datasets to teach developers how to leverage computer vision models,” said Mark McQuade, head of Partnerships and Field Engineering for Roboflow. “The notebooks can run anywhere, but the new capability to automate notebooks as jobs makes SageMaker Studio Lab compelling. Now customers can scale their notebooks by launching it in their own AWS account with any instance type without changing a single line of code.”