![]() 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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