Photoroom published the fourth part of its PRX series on Hugging Face, focusing on the data strategy behind the image model.
The team says it assembled public and internal datasets, re-captioned images with a vision-language model, and converted the result into a streamable training corpus with filtering and deduplication.
The post is a useful reminder that model quality depends heavily on data engineering choices that often receive less attention than architectures or training runs.