Platform For AI:Video labeling template

Video classification

Video classification is used to find one or more labels that match an input video from a set of labels and add the labels to the video. This template supports single-label and multi-label video classification.

• Scenarios

  This labeling template applies to scenarios such as video surveillance, live streaming recommendation, and short video recommendation.

• Data structures

  • Input data

    Each row in the .manifest file of input data contains an object. Each row must contain the source field.

    {"data":{"source":"oss://tongxin-lly.oss-cn-hangzhou.aliyuncs.com/iTAG/video/video1.mp4"}}
    ...

  • Output data

    Each row in the .manifest file of output data contains an object and the labeling results for the object. The following code provides an example on the JSON string in each row:

    { 
        "data": {
            "source": "oss://itag.oss-cn-hangzhou.aliyuncs.com/tongxin_video/video3.mp4"
        }, 
        "label-1433000711494508544": {
            "results": [
                {
                    "questionId": "2", 
                    "data": [
                        "Label 2", 
                        "Label 1"
                    ], 
                    "markTitle": "Multiple-choice", 
                    "type": "survey/multivalue"
                }
            ]
        }
    }