PredictionPool will not let me have an MLImage member of an input or output type

**System Information (please complete the following information):**
- Windows 10
- ML.NET 3.0.0
- .NET 7.0

**Describe the bug**
There are a number of examples that use a PredictionEngine with an input type or output type that has a member of MLImage type, for example https://github.com/dotnet/machinelearning/issues/6886

However, my code is breaking when I call

```
var prePredictionEngine = mlContext.Model.CreatePredictionEngine(model);

```

```
public class InputType
{
public string Label;

[ColumnName("Image")]
[ImageType(224, 224)]
public MLImage Image { get; set; }
}

```

This is the error that comes up

Here's the console output

```
EXCEPTION
#########
System.NotImplementedException: Type 'Microsoft.ML.Data.MLImage' is not yet supported.
at Microsoft.ML.Data.TypedCursorable`1.TypedRowBase.GenerateSetter(DataViewRow input, Int32 index, Column column, Delegate poke, Delegate peek)
at Microsoft.ML.Data.TypedCursorable`1.TypedRowBase..ctor(TypedCursorable`1 parent, DataViewRow input, String channelMessage)
at Microsoft.ML.Data.TypedCursorable`1.TypedRow..ctor(TypedCursorable`1 parent, DataViewRow input)
at Microsoft.ML.Data.TypedCursorable`1.GetRow(DataViewRow input)
at Microsoft.ML.PredictionEngineBase`2.PredictionEngineCore(IHostEnvironment env, InputRow`1 inputRow, IRowToRowMapper mapper, Boolean ignoreMissingColumns, SchemaDefinition outputSchemaDefinition, Action& disposer, IRowReadableAs`1& outputRow)
at Microsoft.ML.PredictionEngineBase`2..ctor(IHostEnvironment env, ITransformer transformer, Boolean ignoreMissingColumns, SchemaDefinition inputSchemaDefinition, SchemaDefinition outputSchemaDefinition, Boolean ownsTransformer)
at Microsoft.ML.PredictionEngine`2..ctor(IHostEnvironment env, ITransformer transformer, Boolean ignoreMissingColumns, SchemaDefinition inputSchemaDefinition, SchemaDefinition outputSchemaDefinition, Boolean ownsTransformer)
at Microsoft.ML.PredictionEngineExtensions.CreatePredictionEngine[TSrc,TDst](ITransformer transformer, IHostEnvironment env, Boolean ignoreMissingColumns, SchemaDefinition inputSchemaDefinition, SchemaDefinition outputSchemaDefinition, Boolean ownsTransformer)
at Microsoft.ML.ModelOperationsCatalog.CreatePredictionEngine[TSrc,TDst](ITransformer transformer, Boolean ignoreMissingColumns, SchemaDefinition inputSchemaDefinition, SchemaDefinition outputSchemaDefinition)
at ImageClassification.ModelScorer.TFModelScorer.PredictDataUsingModelFromStructuredDirectory(IDataView testDataView) in C:\MLsamples\machinelearning-samples\samples\csharp\getting-started\DeepLearning_ImageClassification_TensorFlow\ImageClassification\ModelScorer\TFModelScorer.cs:line 181
at ImageClassification.ModelScorer.TFModelScorer.ScoreUsingStructuredDirectory() in C:\MLsamples\machinelearning-samples\samples\csharp\getting-started\DeepLearning_ImageClassification_TensorFlow\ImageClassification\ModelScorer\TFModelScorer.cs:line 67
at ImageClassification.Program.Main(String[] args) in C:\MLsamples\machinelearning-samples\samples\csharp\getting-started\DeepLearning_ImageClassification_TensorFlow\ImageClassification\Program.cs:line 32
```

I can make things work straight up by wrapping the data in a `IDataView` and calling `.Transform()`, but that defeats the point of having a `PredictionEngine`