Data-centric AI building blocks for computer vision applications
Project description
Data-centric AI building blocks for computer vision applications
Under active development, subject to API change
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 conda:
conda create -n pixano_env python=3.10
conda activate pixano_env
Then, you can install the Pixano package inside that environment with pip:
pip install pixano
Using your datasets
Please refer to our Jupyter notebooks for importing and exporting your datasets.
Using the Pixano app
Please refer to this link for using the Pixano app.
Contributing
Please refer to the 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.
Project details
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