Labelbox is a powerful data labeling and training data platform designed to help teams build and manage high-quality datasets for machine learning and AI. It offers tools for labeling various data types, managing annotation workflows, and integrating with ML pipelines via its Python SDK and APIs. Labelbox streamlines the data lifecycle with collaboration, automation, and quality control features, enabling efficient training data iteration and model improvement.

Features of Labelbox:

• Supports labeling for images, video, text, audio, and geospatial data.
• Provides custom labeling interfaces and ontology management tools.
• Enables AI-assisted labeling to boost annotation speed and accuracy.
• Integrates quality control mechanisms such as consensus and review workflows.
• Includes a robust Python SDK and REST API for automation and pipeline integration.
• Offers flexible deployment options: cloud, VPC, and on-premise.
• Compatible with external labeling vendors through Labelbox Boost.
• Supports dataset curation and filtering for iterative model training.

To check the installed version of Labelbox, run these commands in your environment:

$ sudo su
$ sudo apt update
$ cd /opt/labelbox-python
$ python3 -c "import labelbox; print(labelbox.__version__)"

Disclaimer: Labelbox SDK is released under the Apache 2.0 License and maintained by Labelbox, Inc. Users are responsible for ensuring correct integration in their specific applications. The developers assume no responsibility for consequences arising from its use. Refer to the official documentation for the latest and most accurate guidance.