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3LC YOLO Integration

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Ultralytics YOLO classification, object detection, instance segmentation, pose estimation and OBB 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.

3LC Dashboard Overview

Quick Start

Installation

Install the package and requirements into a virtual environment (Python 3.10–3.14):

pip install 3lc-ultralytics

If you use uv, the equivalent commands are uv pip install 3lc-ultralytics, or uv add 3lc-ultralytics to add it to a uv project.

Dataset and Training

The integration is documented on the project GitHub Page, and details how to register datasets, run training and collect metrics.

Metadata

Release files for 3lc-ultralytics 0.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for 3lc-ultralytics 0.5.0
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3lc_ultralytics-0.5.0.tar.gz 1.5 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for 3lc-ultralytics 0.5.0
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3lc_ultralytics-0.5.0-py3-none-any.whl Python 3 none any Details

Total release size: 3.0 MB

Release files / 3lc_ultralytics-0.5.0.tar.gz

Download URL 3lc_ultralytics-0.5.0.tar.gz
Size 1.5 MB
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Release files / 3lc_ultralytics-0.5.0-py3-none-any.whl

Download URL 3lc_ultralytics-0.5.0-py3-none-any.whl
Size 1.5 MB
Tags Python 3
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0.5.2

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