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<img src="https://raw.githubusercontent.com/pixano/pixano/main/docs/assets/pixano_wide.png" alt="Pixano" height="100"/>

<br/>
<br/>

**Data-centric AI building blocks for computer vision applications**

**_Under active development, subject to API change_**

[![GitHub version](https://img.shields.io/github/v/release/pixano/pixano?label=release&logo=github)](https://github.com/pixano/pixano/releases)
[![PyPI version](https://img.shields.io/pypi/v/pixano?color=blue&label=release&logo=pypi&logoColor=white)](https://pypi.org/project/pixano/)
[![Tests](https://img.shields.io/github/actions/workflow/status/pixano/pixano/test_back.yml?branch=develop)](https://github.com/pixano/pixano/actions/workflows/test_back.yml)
[![Coverage](https://codecov.io/github/pixano/pixano/graph/badge.svg?token=4BJY43YQ6L)](https://codecov.io/github/pixano/pixano)
[![Documentation](https://img.shields.io/website?url=https%3A%2F%2Fpixano.github.io%2F&up_message=online&down_message=offline&label=docs)](https://pixano.github.io)
[![Python version](https://img.shields.io/pypi/pyversions/pixano?color=important&logo=python&logoColor=white)](https://www.python.org/downloads/)
[![License](https://img.shields.io/badge/license-CeCILL--C-blue.svg)](LICENSE)

</div>

<hr />

Pixano is an open-source tool by CEA List for exploring and annotating your dataset using AI features:

- **Fast dataset navigation** using the the modern storage format _Lance_
- **Multi-view datasets** support for images, and soon for _3D point clouds_ and _videos_
- **Import and export** support for dataset formats like _COCO_
- **Semantic search** using models like _CLIP_
- **Smart segmentation** using models like _SAM_

# Getting started

## Installing Pixano

As Pixano requires specific versions for its dependencies, we recommend creating a new Python virtual environment to install it.

For example, with <a href="https://conda.io/projects/conda/en/latest/user-guide/install/index.html" target="_blank">conda</a>:

```shell
conda create -n pixano_env python=3.10
conda activate pixano_env
```

Then, you can install the Pixano package inside that environment with pip:

```shell
pip install pixano
```

## Using your datasets

Please refer to our Jupyter notebooks for <a href="https://github.com/pixano/pixano/blob/main/notebooks/datasets/import_dataset.ipynb" target="_blank">importing</a> and <a href="https://github.com/pixano/pixano/blob/main/notebooks/datasets/export_dataset.ipynb" target="_blank">exporting</a> your datasets.

## Using the Pixano app

Please refer to this link for using the <a href="https://github.com/pixano/pixano/tree/main/pixano/app/README.md" target="_blank">Pixano app</a>.

# Contributing

Please refer to the [CONTRIBUTING.md](CONTRIBUTING.md) for information on running Pixano locally and guidelines on how to publish your contributions.

# License

Pixano is licensed under the [CeCILL-C license](LICENSE).


Data-centric AI building blocks for computer vision applications. 

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pixano

Getting started

Installing Pixano

Using your datasets

Using the Pixano app

Contributing

License

Keywords

Related posts

pixano

Getting started

Installing Pixano

Using your datasets

Using the Pixano app

Contributing

License

Keywords

Related posts

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