Automated Labeling Infrastructure for Failure Analysis
Automated Labeling Infrastructure for Failure Analysis
Tuesday, November 1, 2022: 2:00 PM
Ballroom A (Pasadena Convention Center)
Summary:
In this paper, we present an approach to embedding an anno-tation process in the common routines of FA engineers. Its services can easily be embedded in existing software solutions to (i) capture and store semantics of each data piece in ma-chine-readable form, as well as (ii) provide results of ML models trained on previously annotated data to simplify the annotation task. Preliminary experiments show that the exten-sion of an image editor used by FA engineers with the services provided by the infrastructure can significantly simplify and speed up the annotation process.
In this paper, we present an approach to embedding an anno-tation process in the common routines of FA engineers. Its services can easily be embedded in existing software solutions to (i) capture and store semantics of each data piece in ma-chine-readable form, as well as (ii) provide results of ML models trained on previously annotated data to simplify the annotation task. Preliminary experiments show that the exten-sion of an image editor used by FA engineers with the services provided by the infrastructure can significantly simplify and speed up the annotation process.