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Production scale vision AI platform with fully integrated modules for model building, automated labeling, data processing, model training and hyperparameter tuning.

Why Onepanel?

  • End-to-end workflow and infrastructure automation for production scale vision AI
  • Best of breed, open source deep learning tools seamlessly integrated in one unified platform
  • Scale and distribute your data, training and hyperparameter tuning pipelines to multiple CPU/GPU nodes
  • Customizable, reproducible and version controlled tooling and pipeline templates
  • Scalability, flexibility and resiliency of Kubernetes without the complexities

Onepanel can be found on LF AI Landscape

Features

  • Iteratively annotate, train and automatically annotate with bounding boxes and polygon masks.
  • Easily add hyperparameter tuning to any training pipeline, snapshotting the best metrics, hyperparameters and model.
  • JupyterLab configured with TensorBoard, Git, debugging, diffing, Conda, OpenCV, TensorFlow and PyTorch with GPU.
  • Build fully reproducible, distributed and parallel data processing and training pipelines with real-time logs and output snapshots.
  • Bring your own IDEs, annotation tools and pipelines with a version controlled YAML and Docker based template engine.
  • Track and visualize metrics and experiments with TensorBoard.
  • Further extend and automated your pipelines with a powerful Python SDK.

Online demo

We have created an online demo so that you can get a feel for some of Onepanel's features.

Note: This is a shared and read only deployment that will be occasionally rebuilt.

Quick start

See quick start guide to get started.

Community

To submit a feature request, report a bug or documentation issue, please open a GitHub pull request or issue.

For help, questions, release announcements and contribution discussions, join us on Slack or GitHub discussions.

Contributing

Onepanel is modular and consists of multiple repositories.

See contribution guide and CONTRIBUTING.md in each repository for additional contribution guidelines.

Acknowledgments

Onepanel seamlessly integrates the following open source projects under the hood:

Argo | CVAT | JupyterLab | NNI

We are grateful for the support these communities provide and do our best to contribute back as much as possible.

License

Onepanel is licensed under Apache 2.0.

Need a managed solution?

Visit our website for more information about our enterprise offering.