VideoClassificationPredictionResult

Prediction output format for Video Classification.

Fields
id string

The resource id of the AnnotationSpec that had been identified.

displayName string

The display name of the AnnotationSpec that had been identified.

type string

The type of the prediction. The requested types can be configured via parameters. This will be one of - segment-classification - shot-classification - one-sec-interval-classification

timeSegmentStart string (Duration format)

The beginning, inclusive, of the video's time segment in which the AnnotationSpec has been identified. Expressed as a number of seconds as measured from the start of the video, with fractions up to a microsecond precision, and with "s" appended at the end. Note that for 'segment-classification' prediction type, this equals the original 'timeSegmentStart' from the input instance, for other types it is the start of a shot or a 1 second interval respectively.

A duration in seconds with up to nine fractional digits, ending with 's'. Example: "3.5s".

timeSegmentEnd string (Duration format)

The end, exclusive, of the video's time segment in which the AnnotationSpec has been identified. Expressed as a number of seconds as measured from the start of the video, with fractions up to a microsecond precision, and with "s" appended at the end. Note that for 'segment-classification' prediction type, this equals the original 'timeSegmentEnd' from the input instance, for other types it is the end of a shot or a 1 second interval respectively.

A duration in seconds with up to nine fractional digits, ending with 's'. Example: "3.5s".

confidence number

The Model's confidence in correction of this prediction, higher value means higher confidence.

JSON representation 
{
  "id": string,
  "displayName": string,
  "type": string,
  "timeSegmentStart": string,
  "timeSegmentEnd": string,
  "confidence": number
}