LabelSpark
Description:
LabelSpark is a connector from Labelbox that links Databricks to Labelbox’s annotation platform, letting teams programmatically push unstructured data (images, text, video) into Labelbox, configure labeling ontologies in Databricks, and pull back labeled results as Spark DataFrames for ML workflows; it accelerates data preparation by integrating model-assisted labeling and active-learning features to reduce manual effort and improve label quality, while supporting enterprise security and scalable pipelines so AI teams can more quickly produce auditable, training-ready datasets.
A tool to move data between Databricks and Labelbox.
Note: This is a Google Colab, meaning that it's not actually a software as a service. Instead it's a series of pre-created codes that you can run without needing to understand how to code.
Note: This is a GitHub repository, meaning that it is code that someone created and made publicly available for anyone to use. These tools could require some knowledge of coding.
Pricing Model:
Paid
Price Unknown / Product Not Launched Yet
This tool offers a free trial!
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Matt's Pick - This tool was selected as one of Matt's Picks!
Note: Matt's picks are tools that Matt Wolfe has personally reviewed in depth and found it to be either best in class or groundbreaking. This does not mean that there aren't better tools available or that the alternatives are worse. It means that either Matt hasn't reviewed the other tools yet or that this was his favorite among similar tools.
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LabelSpark
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A tool to move data between Databricks and Labelbox.
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