Annotating Image Datasets with Amazon SageMaker Ground Truth

Illustration for Annotating Image Datasets with Amazon SageMaker Ground Truth

Launched at AWS re:Invent 2018, Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. It provides built-in workflows for text and image datasets, and you can also define custom workflows.

Amazon SageMaker Ground Truth - Build Highly Accurate Datasets and Reduce Labeling Costs by up to…
In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without…aws.amazon.com

We just announced a cool new tool for automatic segmentation. I took this opportunity to record a 4-part end to end demo showing how to annotate images.

Happy to answer questions here or on Twitter.

About the Author

Julien Simon is the Chief Evangelist at Arcee AI , specializing in Small Language Models and enterprise AI solutions. Recognized as the #1 AI Evangelist globally by AI Magazine in 2021, he brings over 30 years of technology leadership experience to his role.

With 650+ speaking engagements worldwide and 350+ technical blog posts, Julien is a leading voice in practical AI implementation, cost-effective AI solutions, and the democratization of artificial intelligence. His expertise spans open-source AI, Small Language Models, enterprise AI strategy, and edge computing optimization.

Previously serving as Principal Evangelist at AWS and Chief Evangelist at Hugging Face, Julien has authored books on Amazon SageMaker and contributed to the open-source AI ecosystem. His mission is to make AI accessible, understandable, and controllable for everyone.