Object detection-Local: The coordinate names are inappropriate and "Label" object is missing in the prediction result for the generated console app project.

**System Information (please complete the following information):**
Windows OS: Windows-11-Enterprise-22H2
ML.Net Model Builder 2022: 17.17.0.2336301 (Main Build)
Microsoft Visual Studio Enterprise: 2022(17.5.5)
.Net: 6.0, 7.0

**Describe the bug**
- On which step of the process did you run into an issue:
The coordinate names are inappropriate and "Label" object is missing in the prediction result.

**TestMatrix**
https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/object-detection-model-builder#create-a-new-vott-project

**To Reproduce**
Steps to reproduce the behavior:
1. Select Create a new project from the Visual Studio start window.
2. Choose the C# Console App (.NET Core) project template.
3. Add model builder by right click on the project.
4. Select "**Object detection**" scenario.
5. Choose "**Local**" environment.
6. On the Data page, choose data source to complete the training.
7. Go to the Consume page, click "Add to solution" button to generate the Console App project.
8. Debug the generated console app project and check the prediction result.

**Expected behavior**
Use coordinate names "**Top**, **Left**, **Right**, **Bottom**", provide the "**Label**" object would be better.

**Screenshot**

**Additional context**

Reproduziere das Problem über die Consume-Seite mithilfe der Local object-detection-Umgebung und untersuche anschließend das generierte Console App-Projekt und dessen Vorhersageergebnis. Vergleiche die generierten Koordinatennamen und das fehlende Label-Objekt mit der erwarteten Ausgabe Top, Left, Right, Bottom und Label; erledigt ist die Aufgabe, wenn das generierte Ergebnis diese Werte korrekt offenlegt.

Vom Indexierungsmodell aus dem Issue-Text verfasst.