Dataset Updates Without Losing Your Mind

Oleksii Liashuk

Many teams work with datasets that evolve over time. What starts as simple setup, quickly turns into chaos once updates become regular. In this talk, I share a practical workflow for managing dataset updates by splitting the process into clear stages, each represented by a Python script. This approach was used in production for two years on image datasets from 2,000 to 200,000 samples and helps small teams reduce cognitive load and keep dataset and model updates predictable.