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# Image Classification

Image classification classifies images. The input images could be entire images or video frames, or regions of images or video frames. Classification chooses between the classes that you have created within a classifier.

Before using image classification, you must train a classifier. For instructions that describe how to train HPE Media Server, refer to the HPE Media Server Administration Guide.

This section describes the parameters that you can use to configure image classification.

Configuration Parameter | Description
--- | ---
ClassificationThreshold | The minimum confidence score necessary for HPE Media Server to output a classification result.
Classifier | The classifier to use for classification.
FrameRate | (Deprecated) The number of frames to analyze per second of video.
GPUBatchingDuration | The maximum amount of time to wait, before sending a batch of video frames to the GPU for analysis.
GPUNumParallel | The maximum number of video frames to analyze concurrently using the GPU (per CPU thread).
Input | The image track to process.
NumParallel | The maximum number of CPU threads to use for analysis.
Priors | The probabilities that object classes will be seen in video.
Region | A region of the frame to restrict processing to.
RegionUnit | The units that the Region parameter uses to specify the size and position of a region.
RestrictToInputRegion | Specifies whether to analyze a region of the input image or video frame that is specified in the input record, instead of the entire image.
SampleInterval | The interval at which frames are selected to be analyzed, in milliseconds.
SyncDatabase | Specifies whether to synchronize with the training database before beginning the analysis task.
Type | The analysis engine to use. Set this parameter to `ObjectClass`.

## Output Tracks

Output track | Type | Description
--- | --- | ---
`Result` | ObjectClassResult | Contains a record for each object class that is detected in the video.
`ResultWithSource` | ObjectClassResultAndImage | Contains the same information as the `Result` track, but each record also includes the best source frame.

ObjectClassResult

Field name | Type | Description
--- | --- | ---
classification | Classification | The result of classification.
classifier | String | The name of the classifier that was used to perform classification.

ObjectClassResultAndImage

Field name | Type | Description
--- | --- | ---
classification | Classification | The result of classification.
classifier | String | The name of the classifier that was used to perform classification.
image | ImageData | The source frame

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