Labellerr

Labellerr SDK Documentation

Troubleshooting & Support

Labellerr SDK

Production

 is a Python library designed to make interaction with the Labellerr platform simple and efficient. With this SDK, you can manage data annotations, projects, and exports seamlessly in your applications.

This documentation will guide you through installing the SDK, understanding its core functionalities, and handling common errors.

To install the Labellerr SDK, use the following command:

To obtain your api_keys and client_id, Pro and Enterprise plan users can contact Labellerr support. If you are on a free plan, you can request them by emailing 

Once installed, you can start by importing and initializing the 

. This client will handle all communication with the Labellerr platform.

 with your actual API credentials provided by Labellerr.

 in Labellerr organizes your datasets and their annotations. Use the following method to create a project:

To know more about what is a project in Labellerr, 

The Labellerr SDK supports various data types and file formats for your annotation projects:

Title

Description

When using the SDK methods, specify the data type as one of: 

Pre-annotations are labels which can be pre-loaded to a project which can speed up manual annotation

: The processing time depends on the size of your annotation file and the number of annotations. For the sync method, this means waiting time. For the async method, you can do other work during this time.

The SDK provides functionality to export project data locally. This feature allows you to export annotations in various formats for further analysis or backup purposes.

The export created will be available in the exports section of Labellerr dashboard. To know more where you can find the export, 

: The export process creates a downloadable file link of your project's annotations based on the specified status filters. This is useful for backup purposes or when you need to process the annotations offline.

You can retrieve all projects associated with a specific client ID using the following method:

The response includes detailed information about each project, including its ID, name, data type, and other relevant metadata.

You can retrieve both linked and unlinked datasets associated with a client using the following method:

Each dataset object contains detailed information including its ID, name, description, and other metadata.

The Labellerr SDK uses a custom exception class, 

, to indicate issues during API interactions. Always wrap your function calls in 

<h2 class="slate-h2 " ></h2><p class="slate-p " >If you encounter issues or have questions, feel free to contact the Labellerr support team:</p><ul class="slate-ul " ><li class="slate-li " ><div style="position:relative"><strong class="slate-bold">Email</strong>: <a href="mailto:support@tensormatics.com" target="_blank">support@tensormatics.com</a></div></li><li class="slate-li " ><div style="position:relative"><strong class="slate-bold">Documentation</strong>: <a href="https://docs.labellerr.com" target="">Labellerr Documentation</a></div></li></ul><p class="slate-p " ></p>

If you encounter issues or have questions, feel free to contact the Labellerr support team: