API Address

https://as.dun.163yun.com/V4/image/callback/results

API Description

Online detection of suspected data in the API results will be performed offline and manually. The offline results of these data require the client to obtain periodically through the API. After getting the data processed offline, the next call will not return the offline data obtained before.

limits frequency of API requests

less than 10s/20 times,or it will be forbiden

Request Parameters

The API parameters are consistent with the public request parameters. For details, see Public Request Parameters

Response Result

The response field is as follows, the common response field has been omitted, see Response General Fields for details:

Result array data structure

Parameter Name	Type	Description
name	String	Image Name (or Image ID)
taskId	String	The data request identifier returned by the online API detection, which can query the latest result of the data according to the identifier
labels	json array	classification information

Labels data structure

Parameter Name	Type	Description
label	Number	Classified information, 100: porn, 110: sexy, 200: advertising, 210: two-dimensional code, 300: horror, 400: prohibited, 500: political affairs
action	json object	Advice action，2：suggest to delete，0：suggest to pass
level	Number	Classification level, 0: normal, 2: OK
rate	Number	Score

Request example

Java code

Python code

PHP code

C# code

js code

Response example

Output result:

Note: Classified information, 100: porn, 110: sexy, 200: advertising, 210: two-dimensional code, 300: horror, 400: prohibited, 500: political

{
    "code": 200,
    "msg": "ok",
    "result": [
        {
            "taskId": "8e0b9306cec744aeb7467486adfa96e2",
            "status": 0,
            "name": "http://xxx.net/xxx1.jpg",
            "labels": [//All classification levels are normal, so the picture is normal
                {
                    "label": 100,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 110,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 200,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 210,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 300,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 400,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 500,
                    "level": 0,
                    "rate": 0.0
                }
            ],
            "details": {
                "ocrText": []
            }
        },
        {
            "taskId": "t79b293083b840ffa208d5d9394f2376",
            "status": 0,
            "name": "http://xxx.net/xxx2.jpg",
            "labels": [//Hit two-dimensional code classification
                {
                    "label": 210,
                    "level": 2,
                    "rate": 0.9999
                },
                {
                    "label": 100,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 110,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 200,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 300,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 400,
                    "level": 0,
                    "rate": 0.0
                },
                {
                    "label": 500,
                    "level": 0,
                    "rate": 0.0
                }
            ],
            "details": {
                "ocrText": []
            }
        }
    ]
}