Activate and use content moderation

contentModeration (optional, boolean || object) - Activates the content moderation feature for an original image. If the value is true, then the feature detects inappropriate content using Amazon Rekognition with a minimum confidence that’s set higher than 75%. If Amazon Rekognition finds inappropriate content, the solution blurs the image. For example:

const imageRequest = JSON.stringify({
    bucket: "<myImageBucket>",
    key: "<myImage.jpeg>",
    edits: {
        contentModeration: true
    }
})

The following contentModeration variables are shown in the following code sample:

contentModeration.minConfidence (optional, number) - Specifies the minimum confidence level for Amazon Rekognition to use. Amazon Rekognition only returns detected content that’s higher than the minimum confidence. If a value isn’t provided, the default value is set to 75%.

contentModeration.blur (optional, number) - Specifies the intensity level that an image is blurred if inappropriate content is found. The number represents the sigma of the Gaussian mask, where sigma = 1 + radius /2. For more information, refer to the sharp documentation. If a value isn’t provided, the default value is set to 50.

contentModeration.moderationLabels (optional, array) - Identifies the specific content to search for. The image is blurred only if Amazon Rekognition locates the content specified in the smartCrop.moderationLabels provided. You can use either a top-level category or a second-level category. Top-level categories include its associated second-level categories. For more information about moderation label options, refer to Content moderation in the Amazon Rekognition Developer Guide.

const imageRequest = JSON.stringify({
    bucket: "<myImageBucket>",
    key: "<myImage.jpeg>",
    edits: {
        contentModeration: {
            minConfidence: 90,  // minimum confidence level for inappropriate content
            blur: 80,           // amount to blur image
            moderationLabels: [ // labels to search for
               "Hate Symbols",
               "Smoking"
             ]
        }
    }
})