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# MLObjectDetector.ModelParameters.ValidationData

A validation dataset for an object detector.

```
enum ValidationData
```

## Topics

### Designating validation data

[`case split(strategy: MLSplitStrategy)`](/documentation/CreateML/MLObjectDetector/ModelParameters-swift.struct/ValidationData/split(strategy:))

A validation dataset Create ML derives by randomly selecting a portion of the object detector’s training
dataset using the split strategy.

[`case dataFrame(DataFrame, imageColumn: String, annotationColumn: String)`](/documentation/CreateML/MLObjectDetector/ModelParameters-swift.struct/ValidationData/dataFrame(_:imageColumn:annotationColumn:))

Set validation data from the MLDataTable provided.

[`case dataSource(MLObjectDetector.DataSource)`](/documentation/CreateML/MLObjectDetector/ModelParameters-swift.struct/ValidationData/dataSource(_:))

A validation dataset you provide as a data source.

[`case table(MLDataTable, imageColumn: String, annotationColumn: String)`](/documentation/CreateML/MLObjectDetector/ModelParameters-swift.struct/ValidationData/table(_:imageColumn:annotationColumn:))

A validation dataset you provide as a data table.

[`case none`](/documentation/CreateML/MLObjectDetector/ModelParameters-swift.struct/ValidationData/none)

An empty validation dataset that skips the model validation phase after training.


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