Production projects in data labeling involve labeling large datasets to enable machine learning model training and deployment. They are often carried out after a POC project or a training project, although it is possible to start with a production project right from the start (for example for simpler data annotation projects). Production batches are often larger than the training batch or pilot project.
When starting production, it is expected that all project parameters have been set, such as:
- The annotation tool and its settings
- The desired team size and its training (if necessary)
- The annotation process if necessary (review, consensus, etc.)
- The annotation instructions (they must cover “all” possible cases)
- The data output format
Synonyms: Production batch
Check out Batch or POC Project to know more.
