Description: Scientists and engineers sometimes collect large volumes of video or imaging data, (e.g., schlieren imaging). To build machine learning (ML) models using this data, they need to label training data to feed to the ML model. This seminar will show how to harness the power of Meta Segment Anything Model (SAM) version 3 in the HPC environment so you can label your data faster and more accurately leading to stronger ML solutions to your research problems.

CUI