@java.lang.Override
  public int hashCode() {
    if (memoizedHashCode != 0) {
      return memoizedHashCode;
    }
    int hash = 41;
    hash = (19 * hash) + getDescriptor().hashCode();
    hash = (37 * hash) + LABEL_DETECTION_MODE_FIELD_NUMBER;
    hash = (53 * hash) + labelDetectionMode_;
    hash = (37 * hash) + STATIONARY_CAMERA_FIELD_NUMBER;
    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getStationaryCamera());
    hash = (37 * hash) + MODEL_FIELD_NUMBER;
    hash = (53 * hash) + getModel().hashCode();
    hash = (37 * hash) + FRAME_CONFIDENCE_THRESHOLD_FIELD_NUMBER;
    hash = (53 * hash) + java.lang.Float.floatToIntBits(getFrameConfidenceThreshold());
    hash = (37 * hash) + VIDEO_CONFIDENCE_THRESHOLD_FIELD_NUMBER;
    hash = (53 * hash) + java.lang.Float.floatToIntBits(getVideoConfidenceThreshold());
    hash = (29 * hash) + getUnknownFields().hashCode();
    memoizedHashCode = hash;
    return hash;
  }
<pre>
The confidence threshold we perform filtering on the labels from
video-level and shot-level detections. If not set, it's set to 0.3 by
default. The valid range for this threshold is [0.1, 0.9]. Any value set
outside of this range will be clipped.
Note: For best results, follow the default threshold. We will update
the default threshold everytime when we release a new model.
</pre>

<code>float video_confidence_threshold = 5;</code>

@return The videoConfidenceThreshold.
java-video-intelligence/proto-google-cloud-video-intelligence-v1/src/main/java/com/google/cloud/videointelligence/v1/LabelDetectionConfig.java