large-image-detect
parameter when calling the API.GET /<ObjectKey>?ci-process=sensitive-content-recognition&detect-url=<detect-url>&interval=<interval>&max-frames=<max-frames>&biz-type=<biz-type> HTTP/1.1Host: <BucketName-APPID>.cos.<Region>.myqcloud.comDate: GMT DateAuthorization: Auth String
Parameter | Description | Type | Required |
ObjectKey | Name of the image file in the COS bucket. The COS bucket is specified by Host . For example, if the file is img.jpg in the test directory in the examplebucket-1250000000 bucket in Beijing, then Host is examplebucket-1250000000.cos.ap-beijing.myqcloud.com , and ObjectKey is test/img.jpg . | String | No |
ci-process | This field identifies the data processing feature, which is sensitive-content-recognition for content moderation. | String | Yes |
biz-type | Unique identifier of the moderation policy. You can configure the scenes you want to moderate on the moderation policy page in the console, such as pornographic, advertising, and illegal information. For configuration guidelines, see Setting Public Moderation Policy. You can get BizType in the console. If BizType is specified, the moderation request will perform moderation based on the scenes configured in the moderation policy. If BizType is not specified, the default moderation policy will be used automatically. | String | No |
detect-url | You can enter a detect-url value to moderate an image accessible over the public network. If detect-url is not specified, the backend will moderate by ObjectKey by default. If detect-url is specified, the backend will moderate by detect-url , and there is no need to enter ObjectKey . Sample detect-url : http://www.example.com/abc.jpg | String | No |
interval | For GIF image moderation, you can use this parameter to configure the frame capturing interval. The default value is 5 , indicating to capture a frame every five frames starting from the first frame (included). | Int | No |
max-frames | The maximum number of frames to be captured for GIF image moderation, which must be greater than 0. The default value is 5 , indicating to capture five frames at most. | Int | No |
large-image-detect | Whether to compress the image that exceeds the size limit before moderation. Valid values: 0 (no), 1 (yes). Default value: 0 . Note: Images up to 32 MB in size can be compressed, and image compression fees will be charged. For large animated images such as GIF, the compression time is long, which may cause the moderation to fail due to timeout. | Int | No |
dataid | Image ID. This field will return the original content in the result, which can contain up to 512 bytes. | String | No |
async | Whether to moderate asynchronously. Valid values: 0 (returns the result synchronously); 1 (moderates asynchronously). Default value: 0 . | Int | No |
callback | Callback address. The moderation result (in Detail mode) can be sent to your callback address in the form of a callback. This parameter takes effect for async moderation. Addresses starting with http:// or https:// are supported, such as http://www.callback.com . | String | No |
ObjectKey
is a private network operation and will not generate public network traffic.detect-url
will generate public network traffic with regard to the origin where the image resides.<RecognitionResult><JobId>xxxxxxxxxxxxxxx</JobId><Result>1</Result><Label>Porn</Label><SubLabel>SexBehavior</SubLabel><Score>90</Score><PornInfo><Code>0</Code><Msg>OK</Msg><HitFlag>1</HitFlag><Label>xxx</Label><SubLabel>SexBehavior</SubLabel><Score>100</Score><OcrResults><Text></Text><Keywords></Keywords><Location><X></X><Y></Y><Width></Width><Height></Height><Rotate></Rotate></Location></OcrResults></PornInfo></RecognitionResult>
Parameter | Type | Description |
RecognitionResult | Container | Image moderation result. |
RecognitionResult
has the following sub-nodes:Parameter | Type | Description |
DataId | String | Image ID. The original content will be returned in the moderation result, which can contain up to 512 bytes. |
JobId | String | Image moderation job ID. |
State | String | Status of the moderation job. Valid value: Submitted . |
Object | String | The name of the image file stored in the COS bucket, which will be returned if ObjectKey is selected during job creation. |
Url | String | The URL of the image file, which will be returned if detect-url is selected during job creation. |
RecognitionResult
has the following sub-nodes:Parameter | Type | Description |
DataId | String | Image ID. The original content will be returned in the moderation result, which can contain up to 512 bytes. |
JobId | String | Image moderation job ID. |
State | String | Status of the moderation job. Valid value: Success . |
Object | String | The name of the image file stored in the COS bucket, which will be returned if ObjectKey is selected during job creation. |
Url | String | The URL of the image file, which will be returned if detect-url is selected during job creation. |
CompressionResult | Int | Whether the image is compressed. Valid values: 0 (no), 1 (yes). |
Result | Int | This field indicates the moderation result. You can perform subsequent operations based on the result. We recommend you handle different results based on your business needs. Valid values: 0 (normal), 1 (sensitive), 2 (suspiciously sensitive, with human review recommended). |
Label | String | This field is used to return the maliciousness label with the highest priority in the detection result, which represents the moderation result suggested by the model. We recommend you handle different types of violations and suggestions based on your business needs. Return values: Normal , Porn , Ads , and other types of unsafe or inappropriate content. |
Category | String | This field is a subset of Label , indicating the specific moderation category hit; for example, Sexy represents the sexy category in the Porn label. |
SubLabel | String | Second-level label hit by the image. |
Score | Int | The confidence the moderation result hits the moderation scene. Value range: 0–100. The higher the value, the more likely the content hits the currently returned moderation scene. For example, Porn 99 means that the content is very likely to be pornographic. |
Text | String | The specific text content recognized by OCR in the image, which will be returned if text content detection is enabled in the moderation policy. |
PornInfo | Container | The moderation result of the pornographic information moderation scene. |
AdsInfo | Container | The moderation result of the advertising information moderation scene. |
PornInfo
and AdsInfo
) has the following sub-nodes:Parameter | Type | Description |
Code | Int | Error code. 0 indicates a success, while other numbers correspond to different errors. For more information, see Error Codes. |
Msg | String | The specific error message, which will be OK if the moderation result is normal. |
HitFlag | Int | The moderation result returned for the moderation scene. Return values: 0 (normal); 1 (confirmed as a violation of the current scene); 2 (suspected as a violation of the current scene). |
Score | Int | The confidence the moderation result hits the moderation scene. Value range: 0–100. The higher the value, the more likely the content hits the currently returned moderation scene. A value in the range of 0–60, 61–90, or 91–100 means the image is normal, suspiciously sensitive, or sensitive respectively. For example, Porn 99 means that the content is very likely to be pornographic. |
Label | String | This field indicates the overall result label of the screenshot, which may be SubLabel , a person name, etc. |
Category | String | This field is a subset of Label , indicating the specific moderation category hit; for example, Sexy represents the sexy category in the Porn label. |
SubLabel | String | This field indicates the specific sub-label hit by the moderation job; for example, SexBehavior is a sub-label under the Porn label. Note: This field may return null, indicating that no specific sub-labels are hit. |
OcrResults | Container Array | This field represents the detailed OCR result, including the text recognition result and hit keyword. It will be returned if there is non-compliant content. |
LibResults | Container Array | This field returns results based on recognition against the risk library. Note: This field will not be returned if no samples in the risk library are hit. |
LibResults
has the following sub-nodes:Parameter | Type | Description |
ImageId | String | This field represents the hit image sample ID in the risk library. |
Score | Integer | This field returns the confidence under the current label. Value range: 0–100. The higher the value, the more likely the image hits a sample in the risk library. For example, Porn 99 means that the content is very likely to hit a pornographic sample in the library. |
OcrResults
has the following sub-nodes:Parameter | Type | Description |
Text | String | The specific text content recognized by OCR in the image. |
Keywords | String Array | Keywords hit by the current moderation scene. |
Location | Container | This parameter is used to return the position (X and Y coordinates of the top-left corner, length, width, and rotation angle) of the OCR detection frame in the image for quick location of the recognized text. |
Location
has the following sub-nodes:Name | Type | Description |
X | Float | This parameter is used to return the pixel position of the abscissa (X) of the top-left corner of the detection frame. It can be combined with other parameters to uniquely determine the size and position of the detection frame. |
Y | Float | This parameter is used to return the pixel position of the ordinate of the top-left corner (Y) of the detection frame. It can be combined with other parameters to uniquely determine the size and position of the detection frame. |
Width | Float | This parameter is used to return the width of the detection frame (the length starting from the top-left corner and extending to the right on the X axis). It can be combined with other parameters to uniquely determine the size and position of the detection frame. |
Height | Float | This parameter is used to return the height of the detection frame (the length starting from the top-left corner and extending down the Y axis). It can be combined with other parameters to uniquely determine the size and position of the detection frame. |
Rotate | Float | This parameter is used to return the rotation angle of the detection frame. Valid values: 0–360 (degrees), and the direction is counterclockwise rotation. This parameter can be combined with the X and Y coordinate parameters to uniquely determine the specific position of the detection frame. |
ObjectResults
has the following sub-nodes:Name | Type | Description |
Name | String | This field is used to return the name of the recognized object, such as person name. |
Location | Container | This parameter is used to return the position (X and Y coordinates of the top-left corner, length, width, and rotation angle) of the recognition result in the image for you to quickly locate information. |
GET /picture.jpg?ci-process=sensitive-content-recognition&interval=0&max-frames=1&biz-type=*** HTTP/1.1Host: examplebucket-1250000000.cos.ap-chengdu.myqcloud.comDate: Tue, 03 Apr 2019 09:06:15 GMTAuthorization:XXXXXXXXXXXX
HTTP/1.1 200 OKContent-Type: application/xmlContent-Length: 645Date: Tue, 03 Apr 2018 09:06:16 GMTStatus: 200 OKx-cos-request-id: NWFjMzQ0MDZfOTBmYTUwXzZkZV8z****<RecognitionResult><JobId>xxxxxxxxxxxxxxx</JobId><CompressionResult>0</CompressionResult><Result>1</Result><Label>Porn</Label><SubLabel>SexBehavior</SubLabel><Score>95</Score><PornInfo><Code>0</Code><Msg>OK</Msg><HitFlag>1</HitFlag><Label>xxx</Label><SubLabel>SexBehavior</SubLabel><Score>95</Score></PornInfo></RecognitionResult>
GET /picture.jpg?ci-process=sensitive-content-recognition&biz-type=***&async=1&callback=http://www.callback.com HTTP/1.1Host: examplebucket-1250000000.cos.ap-chengdu.myqcloud.comDate: Tue, 03 Apr 2019 09:06:15 GMTAuthorization:XXXXXXXXXXXX
HTTP/1.1 200 OKContent-Type: application/xmlContent-Length: 645Date: Tue, 03 Apr 2018 09:06:16 GMTStatus: 200 OKx-cos-request-id: NWFjMzQ0MDZfOTBmYTUwXzZkZV8z****<RecognitionResult><JobId>xxxxxxxxxxxxxxx</JobId></RecognitionResult>
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