This Guidance demonstrates how to use annotated data to train machine learning (ML) models that help with transportation and logistics yard management. Transportation and logistics yards are complex environments that involve time-consuming manual tracking and monitoring activities. This architecture uses data from these environments to generate ML-powered insights to improve yard management.
