<div align="center">
<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_**
[](https://github.com/pixano/pixano/releases)
[](https://pypi.org/project/pixano/)
[](https://github.com/pixano/pixano/actions/workflows/test_back.yml)
[](https://codecov.io/github/pixano/pixano)
[](https://pixano.github.io)
[](https://www.python.org/downloads/)
[](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).
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