cvat/site/content/en/docs/manual/advanced/models.md

title	linkTitle	weight
Models	Models	13

To deploy the models, you will need to install the necessary components using {{< ilink "/docs/administration/advanced/installation_automatic_annotation" "Semi-automatic and Automatic Annotation guide" >}}. To learn how to deploy the model, read {{< ilink "/docs/manual/advanced/serverless-tutorial" "Serverless tutorial" >}}.

The Models page contains a list of deep learning (DL) models deployed for semi-automatic and automatic annotation. To open the Models page, click the Models button on the navigation bar. The list of models is presented in the form of a table. The parameters indicated for each model are the following:

• Framework the model is based on
• model Name
• model Type:
  • detector - used for automatic annotation (available in {{< ilink "/docs/manual/advanced/ai-tools#detectors" "detectors" >}} and {{< ilink "/docs/manual/advanced/automatic-annotation" "automatic annotation" >}})
  • interactor - used for semi-automatic shape annotation (available in {{< ilink "/docs/manual/advanced/ai-tools#interactors" "interactors" >}})
  • tracker - used for semi-automatic track annotation (available in {{< ilink "/docs/manual/advanced/ai-tools#trackers" "trackers" >}})
  • reid - used to combine individual objects into a track (available in {{< ilink "/docs/manual/advanced/automatic-annotation" "automatic annotation" >}})
• Description - brief description of the model
• Labels - list of the supported labels (only for the models of the detectors type)