Models
To deploy the models, you will need to install the necessary components using Semi-automatic and Automatic Annotation guide. To learn how to deploy the model, read 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 detectors and automatic annotation)interactor
- used for semi-automatic shape annotation (available in interactors)tracker
- used for semi-automatic track annotation (available in trackers)reid
- used to combine individual objects into a track (available in automatic annotation)
Description
- brief description of the modelLabels
- list of the supported labels (only for the models of thedetectors
type)