Metadata-Version: 2.3
Name: 3lc-ultralytics
Version: 0.1.7
Summary: 3LC integration with Ultralytics YOLO
Author: 3LC
Author-email: 3LC <support@3lc.ai>
Requires-Dist: 3lc>=2.18.0,<3.0.0
Requires-Dist: pacmap>=0.8.0
Requires-Dist: ultralytics>=8.4.0,<8.4.7
Requires-Python: >=3.9, <3.14
Description-Content-Type: text/markdown

3LC YOLO Integration

[![PyPI](https://img.shields.io/pypi/v/3lc-ultralytics?logo=pypi&logoColor=white)](https://pypi.org/project/3lc-ultralytics/)
[![Discord](https://img.shields.io/badge/discord-3LC-5865F2?logo=discord&logoColor=white)](https://discord.gg/fwnwFtfafC)

Ultralytics YOLO (https://docs.ultralytics.com/) classification, object detection and segmentation with 3LC integrated.

## About 3LC

[3LC](https://3lc.ai) 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](https://github.com/3lc-ai/3lc-ultralytics/blob/develop/src/tlc_ultralytics/_static/dashboard.png?raw=true)

## Quick Start

### Installation

Install the package and requirements into a virtual environment:

```bash
pip install 3lc-ultralytics
```

### Dataset and Training

The integration is documented on the project [GitHub Page](https://github.com/3lc-ai/3lc-ultralytics), and details how to register datasets and run training.
