#426 · Primary category: Computer Vision

onepanel

ai aiops annotation computer-vision deeplearning etl hyperparameter-tuning inference jupyterlab labeling machinelearning mlops pipelines pytorch tensorboard tensorflow training workflows

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Project last updated:02/25/23

GitHub Stars

731

Forks

73

Contributors

9

License

Apache-2.0

Why we included this project

Onepanel is an open source platform that covers the full computer vision workflow, from labeling images to training and serving the finished model. Rather than wiring up separate tools, it bundles CVAT for annotation, Argo for pipeline orchestration, JupyterLab for experiments, and NNI for hyperparameter tuning behind one interface. Since it runs on any cloud or on-premises Kubernetes, it suits teams that need to keep training data inside their own infrastructure instead of sending it to a hosted service. The Python SDK and CLI let engineers script the whole pipeline, which makes it easier to build repeatable, automated vision workflows without assembling the pieces by hand.

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