%PDF- <> %âãÏÓ endobj 2 0 obj <> endobj 3 0 obj <>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/Annots[ 28 0 R 29 0 R] /MediaBox[ 0 0 595.5 842.25] /Contents 4 0 R/Group<>/Tabs/S>> endobj ºaâÚÎΞ-ÌE1ÍØÄ÷{òò2ÿ ÛÖ^ÔÀá TÎ{¦?§®¥kuµùÕ5sLOšuY>endobj 2 0 obj<>endobj 2 0 obj<>endobj 2 0 obj<>endobj 2 0 obj<> endobj 2 0 obj<>endobj 2 0 obj<>es 3 0 R>> endobj 2 0 obj<> ox[ 0.000000 0.000000 609.600000 935.600000]/Fi endobj 3 0 obj<> endobj 7 1 obj<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]>>/Subtype/Form>> stream
**To get the results of an objects and scenes detection operation** The following ``get-label-detection`` command displays the results of an objects and scenes detection operation that you started previously by calling ``start-label-detection``. :: aws rekognition get-label-detection \ --job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef Output:: { "Labels": [ { "Timestamp": 0, "Label": { "Instances": [], "Confidence": 50.19071578979492, "Parents": [ { "Name": "Person" }, { "Name": "Crowd" } ], "Name": "Audience" } }, { "Timestamp": 0, "Label": { "Instances": [], "Confidence": 55.74115753173828, "Parents": [ { "Name": "Room" }, { "Name": "Indoors" }, { "Name": "School" } ], "Name": "Classroom" } } ], "JobStatus": "SUCCEEDED", "LabelModelVersion": "2.0", "VideoMetadata": { "Format": "QuickTime / MOV", "FrameRate": 29.970617294311523, "Codec": "h264", "DurationMillis": 6806, "FrameHeight": 1080, "FrameWidth": 1920 }, "NextToken": "BMugzAi4L72IERzQdbpyMQuEFBsjlo5W0Yx3mfG+sR9mm98E1/CpObenspRfs/5FBQFs4X7G" } For more information, see `Detecting Labels in a Video <https://docs.aws.amazon.com/rekognition/latest/dg/labels-detecting-labels-video.html>`__ in the *Amazon Rekognition Developer Guide*.