When you are collaborating with your team to iterate on your machine learning experiments, it is critical to be able to version your data and reproduce the model results. Each model run keeps a single source of truth for data that goes into your machine learning model. You can easily track your data versions and reproduce the model results.
When you create a model run, Labelbox will automatically create a snapshot of data (including data rows, labels, and data splits) that cannot be changed after you upload model predictions. Even if the annotations or data rows are updated later on, the original snapshot version of the data will be preserved.
|Data||Data rows, labels, and data split|
|Model||Model metrics and model configs|
Follow the same steps in Train a model from Labelbox data to export data using the app or using the SDK.
Updated 3 months ago