The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Home for Elasticsearch examples available to everyone. It's a great way to get started.

Earth observation tools for Meta AI Segment Anything

Better, faster, peering over yonder. Improved large scale object detection in aerial/satellite imagery.

Docs and supporting material for the Amazon Sustainability Data Initiative.