Create README.md

README.md

@@ -0,0 +1,21 @@
+---
+license: apache-2.0
+language:
+- en
+---
+
+
+## Wherobots MLM Models
+
+This is a collection of example models implementing the Machine Learning Model Extension to the SpatioTemporal Asset Catalog (STAC) spec. Each metadata json describes a corresponding model asset and the requirements to run that model.
+These examples, and [APIs built on top of them](https://wherobots.com/wherobotsai-for-raster-inference/), show the utility of describing data linead and runtime requirements of ML models.
+
+The eventual goal is that most geospatial ML models are represented by MLM metadata, making it easy to run them on STAC datasets and derive more value.
+
+See the MLM spec description if you want to learn more about the MLM description fields: https://github.com/crim-ca/mlm-extension
+
+And also check out the stac-model package for creating and validating MLM metadata: https://github.com/crim-ca/mlm-extension/blob/main/README_STAC_MODEL.md
+
+Each of these models is hosted and deployed in [WherobotsAI Raster Inference](https://wherobots.com/wherobotsai-for-raster-inference/), a tool for scaling ML models to planet-scale inference tasks.
+
+Big thanks to [SATLAS](https://satlas.allen.ai/) and [TorchGeo](https://github.com/microsoft/torchgeo) for distributing open source code and weights for these models.