Samples: Jupyter Notebooks and PyLabeler Tooling

A collection of Jupyter notebooks and the PyLabeler tool designed for interactive data annotation and workflow setup. These resources provide functional code samples to assist users in deploying labeling tasks directly within a notebook environment.

Use Cases

• Annotate datasets using the PyLabeler tool within a Jupyter environment
• Configure labeling project parameters using the provided sample notebooks
• Develop custom data processing scripts based on the 'getting started' code examples

Strengths

• Includes the PyLabeler tool for in-notebook data labeling
• Contains .ipynb files demonstrating 'getting started' workflows
• Provides sample code for initializing labeling projects