Once you and your team have labeled your data in Labelbox, you will likely need to export those labels to train your machine learning models, run analytics, or simply keep secure backups. While Labelbox allows you to export data from multiple places (like the Catalog or a model run), this guide focuses specifically on how to export your annotations directly from a labeling project using the Labelbox user interface.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.
Step 1: Select data rows for export
To get started, you must select a project that has at least one label in the “Done” column. Navigate to Annotate, open your desired project, and go to the Data Rows tab. From here, you have three flexible options for deciding exactly which data rows you want to include in your export file:Option 1: Export all data rows
If you want to download your entire project’s dataset at once, you have two quick ways to do this:- The quick button: Click All (X data rows), then simply select Export data from the dropdown menu.
- The checkbox method: Click All (X data rows), then check the box in the top-left corner of the table header to select all visible rows. Finally, click the “X selected” dropdown menu and choose Export data.
Option 2: Quick filter by label status
Sometimes you only need labels that are in a specific stage of your workflow, such as ones that are fully “Done” or currently “In review.”- Locate the “Search your data” field. Right next to it, select a specific label status. Note: You can only filter by one status at a time.
- Once the table updates, manually check the boxes next to the rows you want to export, or check the box in the top-left of the table header to select them all.
- Click the “X selected” menu and choose Export data.
Option 3: Filter by specific data row attributes
For a highly customized export, you can build specific queries to find rows matching certain attributes—like a specific dataset, batch, or metadata value.- Click the Search your data field to reveal the advanced filter options.
- Add your desired filters (e.g., Dataset, Batch, Find text, Annotation, Metadata) to narrow down your results.
- Select the data rows from the filtered list that you want to include.
- Click the “X selected” menu and choose Export data.
Step 2: Choose your export fields and download
After narrowing down your data rows and clicking Export data, you get to customize exactly what information is packaged into your final file.- Select your fields: A panel will appear featuring date range queries and various data fields. Choose exactly which fields you want to include or exclude, or click Select all if you need everything. (Tip: If you are unsure what a specific field means, consult the Labelbox export specifications).
- Generate the export: Once your fields are selected, click the Export JSON button. A notification banner will pop up to let you know your export job is processing in the background.
- Open notifications: Hover over the bell icon at the bottom of your left navigation bar and click on Notifications.
- Download your file: In the Notifications center, locate your export task (you can use filters if you have a lot of alerts). Click the Download icon to save the JSON file directly to your computer.