@java.lang.Override
  public int getSerializedSize() {
    int size = memoizedSize;
    if (size != -1) return size;

    size = 0;
    if (labelDetectionMode_
        != com.google.cloud.videointelligence.v1.LabelDetectionMode.LABEL_DETECTION_MODE_UNSPECIFIED
            .getNumber()) {
      size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, labelDetectionMode_);
    }
    if (stationaryCamera_ != false) {
      size += com.google.protobuf.CodedOutputStream.computeBoolSize(2, stationaryCamera_);
    }
    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(model_)) {
      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, model_);
    }
    if (java.lang.Float.floatToRawIntBits(frameConfidenceThreshold_) != 0) {
      size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, frameConfidenceThreshold_);
    }
    if (java.lang.Float.floatToRawIntBits(videoConfidenceThreshold_) != 0) {
      size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, videoConfidenceThreshold_);
    }
    size += getUnknownFields().getSerializedSize();
    memoizedSize = size;
    return size;
  }
<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