3LC integration with Ultralytics YOLO
Project description
3LC YOLO Integration
Ultralytics YOLO classification, object detection and segmentation with 3LC integrated.
About 3LC
3LC is a tool which enables data scientists to improve machine learning models in a data-centric fashion. It collects per-sample predictions and metrics, allows viewing and modifying the dataset in the context of those predictions in the 3LC Dashboard, and rerunning training with the revised dataset.
3LC is free for non-commercial use.
Quick Start
Installation
Install the package and requirements into a virtual environment (Python 3.10–3.13):
pip install 3lc-ultralytics --extra-index-url https://pypi.3lc.ai/public/repositories/releases-public
The --extra-index-url is required because 3lc is published on 3LC's public package index, not on PyPI.
If you use uv, the equivalent command line is:
uv pip install 3lc-ultralytics \
--extra-index-url https://pypi.3lc.ai/public/repositories/releases-public \
--index-strategy unsafe-best-match
--index-strategy unsafe-best-match is required for uv (but not pip). See the GitHub README for details and for the uv add / uv sync project setup.
Dataset and Training
The integration is documented on the project GitHub Page, and details how to register datasets and run training.
Project details
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