VisualRecognitionTrainClassifier Method |
Overload List| Name | Description | |
|---|---|---|
 | TrainClassifier(VisualRecognitionSuccessCallbackClassifierVerbose, VisualRecognitionFailCallback, String, DictionaryString, Byte, Byte, String, DictionaryString, Object) |
Trains a classifier
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| TrainClassifier(VisualRecognitionSuccessCallbackClassifierVerbose, VisualRecognitionFailCallback, String, DictionaryString, String, String, String, DictionaryString, Object) |
Trains a classifier. Training requires a total of at least two zip files: Two positive example zips with
at least 10 positive examples each or one zip file of 10 positive examples and a zip file of 10 negative examples.
The total size of all files must be below 256mb. Additional training can be done by using UpdateClassifier.
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See Also