9. Import your own ModelVersion into private registry


  • Import your own existing ModelVersion and associated training script
  • Store it in your Private Registry

1. Create an empty Model

If you do not want to train your ModelVersion with Picsellia or if you already have a ModelVersion ready to be used and deployed, you can directly import & operate it with Picsellia.

The uploaded ModelVersion will end up in your Private Registry as is the case for any other model you might have trained with Picsellia.

Click New Model from the Private Registry and define your ModelVersion name and description to do it.

2. Create your first ModelVersion

It is now time to create your first ModelVersion, once again, click Create version and fill in the modal. At this step, you'll be asked to enter your ModelVersion name, description, type, framework, Labelmap, and training script parameters as shown below.

The last point is to fill in the Docker Image link of the training script previously adapted with Picselia SDK and dockerized (a user guide to help you dockerizing your _training script _is available here).


Labelmap and parameters remain editable but make sure info remains consistent to avoid further errors

Your Model and its first version are now created! To complete the upload procedure, you just need to store the model files by clicking on + like this:


In case you have the Datset used to train the ModelVersion, you can upload it as a DatasetVersion into Picsellia (as explained here), it will be useful later to compute unsupervised metrics (such as datadrift detection) in the Deployment part of Picsellia

Your ModelVersion is now fully integrated on Picsellia and can be operated!