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# VNCoreMLFeatureValueObservation

An object that represents a collection of key-value information that a Core ML image-analysis request produces.

```
class VNCoreMLFeatureValueObservation
```

## Overview

This type of observation results from performing a [`VNCoreMLRequest`](/documentation/Vision/VNCoreMLRequest) image analysis with a Core ML model whose role is prediction rather than classification or image-to-image processing.

Vision infers that an <doc://com.apple.documentation/documentation/CoreML/MLModel> object is a predictor model if that model predicts multiple features. You can tell that a model predicts multiple features when its <doc://com.apple.documentation/documentation/CoreML/MLModel/modelDescription> object has a `nil` value for its <doc://com.apple.documentation/documentation/CoreML/MLModelDescription/predictedFeatureName> property, or when it inserts its output in an <doc://com.apple.documentation/documentation/CoreML/MLModelDescription/outputDescriptionsByName> dictionary.

## Topics

### Obtaining Feature Values

[`featureValue`](/documentation/Vision/VNCoreMLFeatureValueObservation/featureValue)

The feature result of a [`VNCoreMLRequest`](/documentation/Vision/VNCoreMLRequest) that outputs neither a classification nor an image.

[`featureName`](/documentation/Vision/VNCoreMLFeatureValueObservation/featureName)

The name used in the model description of the CoreML model that produced this observation.



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