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Documentation Index

Fetch the complete documentation index at: https://docs.labelbox.com/llms.txt

Use this file to discover all available pages before exploring further.

Labelbox offers three primary methods for exporting your data: from the Catalog, from a labeling project, or directly from a model run. This guide specifically focuses on how to export data from a model run. Exporting model run data is typically done when you want to train a machine learning model in your own custom computing environment outside of Labelbox. By exporting this data, you extract your assets (such as images, video, text, documents, audio, geospatial imagery, or HTML) along with their corresponding annotations so your external models can learn from them.

How to export your model run data

To export annotations from a model run via the Labelbox user interface (UI), follow these initial navigation steps:
  1. Go to the Model tab and open the Custom subtab.
  2. Select your desired model from this view.
  3. Click on the Model runs tab and select a specific model run.
Tip: You can use filters to query data rows based on their label status, metadata, batch, annotations, and workflow history. Excluding unneeded fields from your export will make the export process faster and the resulting file much smaller.
Once you have opened your model run, you have four options for choosing which data rows to export:

Option 1: Export all data rows

If you want to export the entirety of the data in the current model run, locate and click on All data (this will also display the total number of data rows). From the drop-down menu that appears, click Export data.

Option 2: Export a specific split or slice

In machine learning, data is often divided into “splits” (Training, Validation, Test, or Unlabeled) to train and evaluate models, or categorized into custom “slices.” To export one of these specific groups, look to the left side of the Model Run page and click on your desired Slice or Split. Next, click on the slice or split name at the top of the data view, and select Export data from the drop-down menu.

Option 3: Export filtered data rows

If you only need data that meets highly specific criteria, you can build custom queries using the Model filters. Once your filtered results appear:
  1. Click Select all on the right side of the screen.
  2. Click the Manage selection dropdown.
  3. Select Export data to export those specific rows.

Option 4: Export hand-selected data rows

For the most granular control, you can manually select specific data rows using the checkboxes next to each row. After you have checked the boxes for your desired data:
  1. Click the Manage selection dropdown.
  2. Select Export data.

Downloading your exported file

After you trigger the export (for example, by clicking Export JSON), a notification banner will appear letting you know the job has started. You can track the progress of your export in the Labelbox Notifications center. Once the system finishes processing the job, simply click the Download link in your notifications to save the export file to your computer.

Export specifications

Click through these links to view the export specifications based on data type.

Image

Video

Text

Documents

Geospatial/tiled imagery

Audio

Conversational text

HTML