ContentModerationDetection ¶

class ContentModerationDetection(TypedDict, closed=True):
    timestamp: "capo_rekognition.types.timestamp.Timestamp"
    """<p>Time, in milliseconds from the beginning of the video, that the content moderation label was detected. Note that <code>Timestamp</code> is not guaranteed to be accurate to the individual frame where the moderated content first appears.</p>"""
    moderation_label: NotRequired[
        "capo_rekognition.types.moderation_label.ModerationLabel"
    ]
    """<p>The content moderation label detected by in the stored video.</p>"""
    start_timestamp_millis: NotRequired["capo_rekognition.types.u_long.ULong"]
    """<p>The time in milliseconds defining the start of the timeline segment containing a continuously detected moderation label.</p>"""
    end_timestamp_millis: NotRequired["capo_rekognition.types.u_long.ULong"]
    """<p> The time in milliseconds defining the end of the timeline segment containing a continuously detected moderation label. </p>"""
    duration_millis: NotRequired["capo_rekognition.types.u_long.ULong"]
    """<p> The time duration of a segment in milliseconds, I.e. time elapsed from StartTimestampMillis to EndTimestampMillis. </p>"""
    content_types: NotRequired["capo_rekognition.types.content_types.ContentTypes"]
    """<p>A list of predicted results for the type of content an image contains. For example, the image content might be from animation, sports, or a video game.</p>"""