⚙️ Reliability Engine

Reliability Engine features on Picsellia mainly aim at storing the Model and ModelVersion created with the VisionAI Factory features in the Model Registry, and let you deploy a ModelVersion through a Deployment, from which you can visualize its Prediction and ensure it performs as expected.

1. Access the Model Registry and its Model Versioning System

2. Retrieve the Experiment exported as a ModelVersion in your Private Model Registry

3. Import your own model to your Private Model Registry

4. Deploy a ModelVersion and monitor it with a Deployment

5. Monitor your ModelVersion performances with a dedicated Dashboard

6. Create a Pipeline to apply the Continuous Learning mechanism

7. Define Alerts to be notified when something is going wrong with a Deployment

8. Log the result of inferences done by the deployed ModelVersion

9. Visualize the PredictedAsset and the associated Prediction generated by the deployed ModelVersion

10. Review Prediction to send them in your Pipeline