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Exporting predictions from Foundry allows you to use your model’s output outside of the Labelbox platform. This is useful for a variety of tasks, such as:
  • Offline analysis: Analyze model performance in a Jupyter notebook, Excel, or other data analysis tools.
  • Integration with other systems: Feed predictions into downstream applications or custom MLOps pipelines.
  • Custom reporting: Create detailed reports and visualizations on model accuracy and behavior.
You can start an export from three main areas in the Labelbox platform, depending on what you need:

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Step-by-step instructions

Follow these simple steps to export your predictions:

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Step 1: Select your data

First, navigate to the Catalog, Model, or Annotate section and select the data rows with the predictions you want to export.

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Step 2: Start the export

From the Manage selection menu that appears, choose Export data. This will open the Export panel where you can customize your export.

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Step 3: Choose your export options

In the Export panel, you can select what information you want to include in your export file. Depending on where you export your data from (i.e., Catalog, Annotate, Model), you can choose to include these details in your export:
  • Data row details
  • Metadata
  • Attachments
  • MMC code executions
  • Project details
  • Performance details
  • Label details
  • Interpolated frames
  • Model run details
  • Predictions
  • Embeddings
  • Model type override
  • Export labels from projects
  • Export labels and predictions from model runs

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Step 4: Generate the export file

Once you’ve selected your options, click Export JSON. Labelbox will then start building your export file.

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Step 5: Download your results

When your export is ready, you’ll see a Download link in the Notifications Center. Clicking this will give you two options for downloading your results: