Dataset of sodium chloride sterile liquid in bottles for intravenous administration and fill level monitoring.

We propose a dataset to investigate the relationship between the fill level of bottles and tiny machine learning algorithms. Tiny machine learning is represented by any Artificial Intelligence algorithm (spanning from conventional decision tree classifiers to artificial neural networks) that can be deployed into a resource constrained micro controller unit (MCU). The data presented has been originally collected for a joint research project by STMicroelectronics and Sesovera.