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# List the Vehicle Models in a Database

To list the vehicle models that you have added to a database, and check whether training was successful, use the following procedure.

To list the vehicle models in a database

1. (Optional) First list the databases that have been created to store vehicle models. Use the action `ListVehicleModelDatabases`:

       http://localhost:14000/action=ListVehicleModelDatabases

   Media Server returns a list of databases that you have created.

2. List the vehicle models that exist in one of the databases. Use the action `ListVehicleModels`, for example:

       http://localhost:14000/action=ListVehicleModels&database=Cars
                                                      &metadata=true
                                                      &imagestatus=true

   Media Server returns a list of vehicle models in the specified database, and the number of training images associated with each model.

   If you set the action parameter `metadata` to `true`, Media Server returns the metadata you have added to each vehicle model.

   If you set the action parameter `imagestatus` to `true`, Media Server returns the status of each training image associated with each vehicle model.

   - The `status` element indicates the status of training:

     - `trained` indicates that training was successful.
     - `untrained` indicates that training has not been attempted. Run training for the vehicle model using the action `BuildVehicleModel`, or run training for all vehicle models that have incomplete training using the action `BuildAllVehicleModels`.
     - `failed` indicates that Media Server could not use the image for training. Remove the failed image using the action `RemoveVehicleModelImages`.
   - The `hasimagedata` element indicates whether the training image is stored in the database. If the value of this element is `false`, the image has been removed from the database by the action `NullVehicleModelImageData`. Images that have been removed and have a status of `untrained` cannot be trained, so Micro Focus recommends you remove these images with the action `RemoveVehicleModelImages`.

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