Other than the APIs listed in Group 1 and Group 2 above, Amazon Rekognition Image also supports Image Properties, which is priced separately from Group 1 and Group 2.įace metadata storage: To enable face and user search, you will need to store a repository of face metadata objects (face vectors and user vectors) against which Amazon Rekognition can search for matches. Group 2: DetectFaces, DetectModerationLabels, DetectLabels, DetectText, RecognizeCelebrities, DetectProtectiveEquipment APIs. Group1: AssociateFaces, CompareFaces, DisassociateFaces, IndexFaces, SearchFacesbyImage, SearchFaces, SearchUsersByImage, SearchUsers. Usage is billed based on a tiered pricing model tied to volume of images processed per month. The majority of Amazon Rekognition Image APIs are categorized into two groups, Group 1 and Group 2, which have different pricing. Running multiple APIs against a single image counts as processing multiple images. Image analysis: Amazon Rekognition Image charges you each time you analyze an image using our APIs. There are two types of costs with Amazon Rekognition Image: the cost for image analysis and the cost for face metadata storage. There is no up-front commitment or minimum fee. With Amazon Rekognition Image, you only pay for what you use. Amazon Rekognition Image makes it easy to add image analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use.
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