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This guide will walk you through the end-to-end process of running your first model in Foundry. By the end, you’ll have a set of model-generated predictions ready for review.

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Step 1: Select Your data

Your journey begins in the Catalog. The Catalog is where you manage and explore all your data within Labelbox.
  1. Navigate to the Catalog tab.
  2. Use the filters to find the data you want the model to process. You can filter by dataset, metadata, and other attributes.
  3. Select the checkboxes next to the data rows you wish to include in your model run.
  4. Once you’ve made your selection, click Predict with Foundry.
This will take you to the Foundry model gallery with your data selection pre-loaded.

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Step 2: Choose a model

Now it’s time to choose a model to generate your predictions.
  1. From the model gallery, you’ll see a variety of pre-trained foundation models.
  2. Use the filters on the left to narrow down the models based on the task you want to perform (e.g., Object Detection, Text Summarization).
  3. Once you’ve found a suitable model, click on the model card to proceed.

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Step 3: Configure the model run

This is the final configuration step before launching your model run.
  1. Select an ontology: This is a critical step. You need to map the classes the model can predict to the feature classes in your project’s ontology. This ensures the predictions are in a format that your project understands.
  2. Set confidence threshold (optional): Use the slider to set a minimum confidence score. The model will only generate predictions that meet this threshold. This is useful for filtering out low-quality or uncertain predictions.
  3. Generate previews (optional): Before committing to a full run, click the Generate previews button. This will run the model on a small sample of your selected data, allowing you to quickly verify that the configuration is correct and the model is performing as expected.
  4. Submit the model run: The Submit button appears only when your settings are valid for the selected model, ontology, and underlying data types. For example, you cannot submit a model run for models that require an ontology until you select an ontology. When satisfied with the settings and generated previews, submit your model run.

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Step 4: Track your model run

Your model run is now in progress.
  1. You will be redirected to the Models page, where you can see a list of all your model runs.
  2. Your new run will appear at the top with a “Running” status. The time it takes to complete depends on the model and the amount of data.
  3. You can click on the model run to see its progress and details. You’ll receive a notification in Labelbox once the run is complete.

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Next steps

Send predictions for human review

Create a Foundry app

Export predictions