Import data

Whether you decide to use IAM delegated access or Signed URLs, you'll need to create a JSON file to import your data.

Supported data types

Labelbox natively supports the following data types.

Name

Kinds

Reference

Images

PNG, JPEG, BMP

Example

Video

MP4

Example

Text

TXT, JSON

Example

Geospatial imagery

Tile Map Server

Example

Audio

MP3, WAV, M4A

Example

DICOM (Closed beta)

DCM

Documents (Closed beta)

PDF

Prepare Data Rows

Prepare your data for import by following the format-specific guide under this category.

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Special character handling

Please note that certain characters like # are not supported in URLs and should be avoided in your file names to prevent loading issues. A good litmus test for special character handling is to test URLs in your browser address bar; if it doesn't load properly in your browser, it won't load in the Editor.

Option 1: Create via Python SDK (recommended)

We recommend using the Python SDK to import your data to Labelbox.

Python Tutorial

Github

Google Colab

Data Rows

Open in Github

Open in Google Colab

Option 2: Create in Labelbox UI

  1. Log into Labelbox.
  2. Go to the Create a dataset page.
  3. Drag and drop your JSON file onto the page.

Validate your data import

After you import your data, navigate to the Datasets tab to verify it was imported correctly.

Complete Python SDK tutorial

The tutorials below cover the most common CRUD methods on Data Rows and Datasets.


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