Advancing AI/ML research with public datasets
Project: MicroBooNE public datasets
Fermilab and its affiliated experiments produce large amounts of high-quality scientific data, which can be useful for testing models not originally designed for physics applications, particularly in the field of foundation models. Fermilab actively supports the public use of its datasets for AI and machine learning research. In 2017, the MicroBoone neutrino experiment released a dataset containing over one million neutrino events for public analysis. This dataset has since been used to develop machine learning algorithms capable of handling complex point clouds of events — a challenging task that now serves as a benchmark for AI/ML techniques.
