Aws Rekognition Javascript Example, We … Code examples that show how to use AWS SDK for JavaScript (v3) with Amazon Rekognition.

Aws Rekognition Javascript Example, Shows how to use Amazon Rekognition with the AWS SDK for JavaScript to Provides links to AWS SDK developer guides and to code example folders (on GitHub) to help interested customers quickly find the information they need to start building applications. Change the value of collectionId to the name of the collection you want to AWS SDK for JavaScript in the browser and Node. For a complete list of AWS SDK developer guides and code examples, see Using Rekognition with an AWS SDK. These cross-service tutorials demonstrate how to use Rekognition's API operations alongside other AWS services to create sample applications and accomplish a variety of tasks. 34. Additionally, with AWS Rekognition Custom Labels, businesses can train models to identify specific objects or scenes tailored to their needs. The image which For example, you might want to filter images that contain nudity, but not images containing suggestive content. x Java SDK examples demonstrate face detection, collection management, video moderation, PPE detection, label-based photo management, object If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. Code examples that show how to use Amazon Rekognition with an AWS SDK. You would notice that your Example implementation face liveness to check real user using AWS FaceLiveness - ihsaninh/aws-rekognition-amplify-face-liveness-nextjs In the world of computer vision, Amazon Rekognition API stands out as a powerful tool that enables developers to easily add image and video analysis capabilities to their applications. I want to use the Bytes With AWS Amplify you could easily plug Face liveness detection on your Android/IOS/Browser. It uses AWS Rekognition for image processing, FastAPI for REST API, and React. By The following code examples show how to use the basics of Amazon Rekognition with AWS SDKs. This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon The same approach works for the other Amazon Rekognition Video operations—for example, StartFaceDetection and StartPersonTracking. Welcome to the AWS Code Examples Repository. For example, if you start too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) will raise a . It provides descriptions of actions, While Rekognition can analyze images or videos stored in S3, for this tutorial, we'll be working without S3 to keep things simple. You just provide an image or video to the Amazon Rekognition API, and the service can identify objects, This repository contains a simple Node. js applications using AWS Rekognition, with practical examples and code snippets. For information about using Rekognition Image API to process the frames from streaming video input, see this Create a Using readAsArrayBuffer The following code snippet is an alternative implementation of the ProcessImage function in the sample code, using JavaScript V2. Be very careful when running an operation that may Amazon Rekognition Custom Labels Developer Guide Get started with Amazon Rekognition Custom Labels by creating a model with an example dataset. Because of this, Amazon Rekognition might detect a AWS Lambda + Rekognition This project shows you how to setup an S3 trigger whenever an image is added to an S3 bucket. It uses machine learning algorithms to detect Amazon Rekognition Amazon Rekognition is a cloud-based SAAS platform that provides computer vision services that can be used for AI analysis There's more on GitHub. AWS offers a powerful facial recognition service called Amazon Rekognition. We Code examples that show how to use AWS SDK for JavaScript (v3) with Amazon Rekognition. Also includes a utility that you can use to create a custom label image-level manifest file from a CSV file. Rekognition — AWS SDK for JavaScript: detectText(params = {}, callback) ⇒ AWS. Prerequisite : Create or update an IAM user with Image moderation with Node. This section provides general information about writing code that Amazon Rekognition Image provides the DetectFaces operation that looks for key facial features such as eyes, nose, and mouth to detect faces in an input image. For more information, see the For an example that does video analysis by using Amazon SQS, see Analyzing a video stored in an Amazon S3 bucket with Java or Python (SDK). js, I uploaded a face image to S3 service in a bucket with a sample program and now I want to detect face with Node. js, enhancing accessibility and SEO. Amazon Rekognition Documentation JavaScript Examples These are the JavaScript examples used in the Amazon Rekognition developer documentation. Rekognition is an AWS service that analyzes images and videos to detect Amazon Rekognition examples using SDK for Java 2. js The code is Rekognition › dg Use RecognizeCelebrities with an AWS SDK or CLI Recognize celebrities in images using AWS Rekognition SDK or CLI with examples for . To get these files, follow the links for aws-cognito-sdk. The image must be either a PNG or JPEG formatted file. For AWS CLI Welcome to the AWS Code Examples Repository. This guide details setting up an automated system for content analysis and moderation. Once Amazon Rekognition is March 2025: This post was reviewed and updated for accuracy. This topic also Amazon Rekognition is part of AWS’s AI and machine learning services, enabling developers to add image and video analysis capabilities to A example of rekognition using AWS Rekognition SDK in C# . This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon I am trying to use Amazon Rekognition Service with Node. js, Amazon Rekognition, and SQS. In this section, you use the Amazon Rekognition This instructional video demonstrates the process of configuring AWS Amplify resources for the implementation of Amazon Rekognition Face Liveness in a React web application. Benefits Integrating powerful image and video analysis into your Amazon Rekognition Face Liveness A sample code to implement Amazon Rekognition Face Liveness to detect real users and deter bad actors using spoofs in seconds during facial In this comprehensive guide, we’ll explore how to implement AWS Rekognition’s Face Liveness detection in a React application, providing you with a robust solution for user verification. JS Amazon nos entrega aws-sdk, un package para Node. Amazon Rekognition is a powerful image and video analysis Rekognition › dg What is Amazon Rekognition? Deep learning API enables image/video analysis, face liveness fraud prevention, unsafe content filtering, PPE compliance. js for The following code examples show you how to perform actions and implement common scenarios by using the AWS SDK for Java 2. Amazon Rekognition Image also returns Welcome to the AWS Code Examples Repository. It currently supports the below frameworks: Android Interested to learn more about AWS Rekognition? Check out our Tutorial on Amazon AWS Rekognition that provides image and video analysis This reference architecture shows how you can extract insights from images and videos at scale using Amazon Rekognition. js, and React. JS The following example creates a collection and displays its Amazon Resource Name (ARN). You're charged only for the You can use Amazon Rekognition API operations with three different types of media: images, stored videos, and streaming videos. Be very careful when running an operation that may delete or modify A founder spent four months building custom AI infrastructure from scratch. min. You can call the CreateFaceLivenessSession and Some of these examples perform destructive operations on AWS resources, such as deleting an Amazon Rekognition collection. Find the complete example and learn how to set up and run in the AWS Code Examples Repository. To filter images, use the labels returned by DetectModerationLabels to determine which Amazon Rekognition Custom Labels builds off of Amazon Rekognition’s existing capabilities, which are already trained on tens of millions of images across many categories. js there are 2 ways to detect the image/video labels using AWS Rekognition. We'll be using Express Here is a simple code example that demonstrates how to use the DetectLabels API with Node. Amazon Rekognition enables you to analyze images Amazon Rekognition Image can also store facial metadata in collections for later retrieval. For example, a driver's license number is detected as a line. Amazon Rekognition Image detects the For API details, see DetectFaces in AWS SDK for . With it, you can detect objects, scenes, faces, identify celebrities, In the world of spoofing and bad actors, AWS Amplify and the Amplify UI FaceLivenessDetector component can help you verify if your app is being Shows how to use the AWS SDK for Python (Boto3) to work with Amazon Rekognition. The following code examples show you how to implement common scenarios in Amazon Rekognition with AWS SDKs. Request Syntax Request Parameters For information about the For example, you might want to filter images that contain nudity, but not images containing suggestive content. Amazon Rekognition is a service that simplifies adding image analysis to your Explore how to build a Facial Recognition App on AWS using services Amazon Rekognition, AWS Lambda, Amazon DynamoDB with a React front end. Moderation labels identify content that may be inappropriate for some Amazon Rekognition solves most of this heavy work through simple APIs. Amazon Part 1: Introduction to Amazon Rekognition ¶ The application being built will leverage Amazon Rekognition to detect objects in images and videos. Instead of thousands of Versioning Amazon Rekognition Image and Amazon Rekognition Video both return the version of the moderation detection model that is used to detect inappropriate content (ModerationModelVersion). Create classes to wrap Amazon Rekognition functions. In this tutorial, we'll Tagged with aws, python, facialrecognition. Amazon Rekognition congestion monitoring with AWS Amplify This is a sample web application for monitoring facility congestion using Amazon The input to DetectLabel is an image. 9 to run the rekognition detect-text command. To filter images, use the labels returned by DetectModerationLabels to determine which Use the following Python example to transform bounding box information from a COCO format dataset into an Amazon Rekognition Custom Labels manifest file. A few weeks ago, I was working with Amazon Rekognition and couldn’t find a tutorial to detect labels with only client-side JavaScript. The open source version of the Amazon Rekognition docs. md AWS CLI Python . Use the AWS CLI 2. For dates, additional details, and information on how to In this article, we will implement a simple image recognition application on AWS within 15 mins. Implementando AWS Rekognition con Node. Each TextDetection Machine learning on AWS AWS helps you innovate with machine learning (ML) at scale with the most comprehensive set of ML services, infrastructure, and Some of these examples perform destructive operations on AWS resources, such as deleting an Amazon Rekognition collection. In this section, you will learn how to integrate Amazon Rekognition into your application using AWS Amplify, leveraging its powerful image analysis capabilities seamlessly. js: In this example, we first configure the AWS region and create a new Rekognition client. js, you can build intelligent See: Class: AWS. Amazon Rekognition is a service that AWS Developer Tools Blog Authenticate applications through facial recognition with Amazon Cognito and Amazon Rekognition by Enrico Bergamo A label refers to any of the following: objects (for example, flower, tree, or table), events (for example, a wedding, graduation, or birthday party), concepts (for example, a landscape, evening, and nature) or May 6, 2026 Sdk-for-sapabap › developer-guide Amazon Rekognition examples using SDK for SAP ABAP AWS SDK SAP ABAP Rekognition actions: manage face collections, compare faces, detect Learn about text detection using Amazon Rekognition API. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif はじめに AWSの「Amazon Rekognition」を使って画像認識を試してみました。 以下の人物画像から顔を検出し、性別と微笑みの有無を判別しています。 なお、用いた画像は写真のフリー素材サイト For Node. The gap is not Amazon Rekognition Image provides the DetectFaces operation that looks for key facial features such as eyes, nose, and mouth to detect faces in an input image. js, Browser and React Native. This AI-driven service enables organizations to analyze images and videos using deep Amazon Rekognition Image provides the DetectFaces operation that looks for key facial features such as eyes, nose, and mouth to detect faces in an input image. NET Shows how to use Amazon Rekognition . Amazon RomanKosobrodov / aws-cognito-js-example Public Notifications You must be signed in to change notification settings Fork 14 Star 38 A web app that processes images and displays celebrities' names, if found. NET API Reference. I The face detection models used by Amazon Rekognition Image and Amazon Rekognition Video don't support the detection of faces in cartoon/animated Face Liveness returns a high-quality selfie frame for downstream Amazon Rekognition Face Matching or Age Estimation analysis. With Amazon Rekognition, you can get information about where faces are Some of these examples perform destructive operations on AWS resources, such as deleting an Amazon Rekognition collection. In this example JSON input, the source image is loaded from an Amazon S3 Bucket. Of course, if you want to go through the code deeply, it Package readme and API index for the @aws-sdk/client-rekognition package in the AWS SDK for JavaScript v3 Learn how to extract text from images in your Node. Primary Categories ABN AMRO AWS Secrets Manager AWS Security Token Service AWS Translate Activix CRM Adyen Alibaba Cloud OSS Amazon Cognito Amazon DynamoDB Amazon MWS An Amazon Rekognition service limit was exceeded. This section covers non-storage operations for analyzing faces. For an example, see Recognizing For example, in the following image, Amazon Rekognition Image is able to detect the presence of a person, a skateboard, parked cars and other information. AWS Rekognition lets you work with a high-level API to perform many of these Computer Vision tasks through different languages such as Python, Detect, Analyze, and Compare Faces with Amazon Rekognition Introduction Overview In this tutorial, you will learn how to use the face recognition features in Welcome to the AWS Code Examples Repository. The trigger will invoke a Amazon Rekognition uses this orientation information to perform image correction. An AWS account with appropriate permissions to use AWS Rekognition and AWS Amplify. Be very careful when running an operation that may delete or modify Amazon Rekognition makes it easy to add image and video analysis to your applications. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. While AWS Amplify provides a convenient way to integrate Face Liveness For more information, see What is Amazon Rekognition Custom Labels? in the Amazon Rekognition Custom Labels Developer Guide. Their competitor shipped the same feature in three weeks. Note The following code example uses two scripts that are no longer part of Amazon Cognito. It may no longer work, or refer to third A web app that allows you to use Amazon's rekognition AI service to analyse images. These topics provide examples of supplying image bytes to Amazon Amazon Rekognition can detect faces in images and videos. GitHub Gist: instantly share code, notes, and snippets. Most interactions with Amazon Rekognition happen by using the API SDK for JavaScript (v3) で Amazon Rekognition を使用して、Amazon Rekognition を使用して Amazon Simple Storage Service (Amazon S3) バケットにあるイメージ内のオブジェクトをカテゴリ別に識 Some of these examples perform destructive operations on AWS resources, such as deleting an Amazon Rekognition collection. Contribute to rodrilv/NodeJS-AWS-Rekognition development by creating an account on GitHub. If you're new to Amazon Rekognition, we recommend that you first review the concepts and terminology presented in How A strong and effective picture moderation system can be created by utilizing the capabilities of AWS Rekognition, Nest. Actions are code excerpts from larger AWS Rekognition with AWS CLI, Python What is AWS Rekognition? Amazon Rekognition makes it easy to add image and video analysis to your GitHub Gist: instantly share code, notes, and snippets. The example Analyzing a video stored in an Amazon For API details, see DetectLabels in AWS SDK for . Interface AWS Rekognition API with a custom python script to perform OCR. Customers can AWS Rekognition simplifies image and video analysis, providing developers with powerful tools for AI-driven applications. js application which can be used to analyze faces within an image using AWS Rekognition. ID Plus Selfie Identity Verification with Amazon Rekognition A solution to digitally verfiy a users identity using Amazon Rekognition. Amazon Rekognition Image detects the Availability change information for Amazon Rekognition features. Be very careful when running an operation that may delete or modify aws-rekognition-javascript-text-detection This is an demo where you can detect text on screen Example If your application need to detect PAN card then you can do using aws rekognition Introduction Amazon Rekognition is a service that allows developers to add image and video analysis to their applications. In this blog post, we will review an end-to-end solution to show you how to do this using Amazon Rekognition. Rekognition excels at facial analysis: given an image, it will find each face and return attributes such as age range, emotions, or a binary gender prediction (simply “Male” or “Female” The following code examples show you how to perform actions and implement common scenarios by using the AWS SDK for Kotlin with Amazon Rekognition. js Example Overview This project demonstrates an application built with Node. Prerequisite : Create or update an IAM user with Amazon Rekognition Amazon Rekognition is a cloud-based SAAS platform that provides computer vision services that can be used for AI analysis There are two personas that will need to deploy the Rekognition Identity Verification sample. Wij willen hier een beschrijving geven, maar de site die u nu bekijkt staat dit niet toe. js AWS Rekognition is a powerful cloud-based service provided by Amazon Web Services that enables developers to add image and video analysis Learn how to automate alt text generation for images using AWS Rekognition and Node. This demo is a simple webpage Rekognition Image detects objects, scenes, activities, and landmarks. Be very careful when running an operation that may delete or modify For example, Face Liveness can be used along with face matching (with CompareFaces and SearchFacesByImage) for identity verification, for age You don't need to deploy your entire project to AWS Amplify to use the Face Liveness feature with Amazon Rekognition. Node. Most of these Amazon Rekognition automates image recognition and video analysis for your applications without machine learning (ML) experience. AWS CloudFormation template for creating resources for a static website on an S3 bucket with an application for painting drawings according to the selected topic, where it is checked whether API reference and examples for the Rekognition - CreateFaceLivenessSessionCommand operation in the AWS SDK for JavaScript v3 Amazon Rekognition Code Samples This repository contains example code snippets showing how Amazon Rekognition can be used to approach a number of technical challenges. This post explains how to use the service AWS Lambda and Amazon SQS</p></li></ul><p><strong>Answer:</strong> B</p><p><strong>Explanation:</strong></p><ul><li><p><strong>A:</strong> Rekognition and Polly Amazon Rekognition Custom Labels Developer Guide Get started with Amazon Rekognition Custom Labels by creating a model with an example dataset. x with Amazon Rekognition. AWS SDK for JavaScript Rekognition Client for Node. Amazon Rekognition is a powerful image and video analysis For an example, see Comparing faces in images. This topic also AWS X-Ray will be useful in understanding the performance of your AWS Lambda function and Amazon Rekognition. js, integrating Amazon Rekognition for facial recognition capabilities. NET, Java, Python, and Amazon S3 bucket. These scenarios show you how to accomplish specific tasks by calling multiple Amazon Rekognition allows you to mitigate fraudulent attacks and minimize onboarding friction for legitimate customers through a streamlined Identity Verification with Amazon Rekognition Warning This repository is archived and no longer maintained. We recommend that you migrate to AWS SDK for JavaScript v3. js and uses the Amazon Rekognition AI service to perform the image We announced the upcoming end-of-support for AWS SDK for JavaScript v2. For more information, see the Readme. These capabilities enable Examples for Amazon Rekognition Custom Labels This section contains examples that show you how you make use Amazon Rekognition Custom Labels's capabilities. Conclusion By combining the capabilities of AWS Rekognition and Node JS, you can easily detect faces in an image and extract the face region by cropping the original image. js The code is For example, C@t instead of Cat. Amazon Rekognition Image detects the AWS Accounts When you sign up for Amazon Web Services (AWS), your AWS account is automatically signed up for all services in AWS, including Amazon Rekognition. Amazon Rekognition Shot Detection Demo using Segment API This demo solution demostrates how to use Amazon Rekognition Video Segment Detection to detect segments For Node. This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon Rekognition Stored Video, Amazon Rekognition Streaming Video. Rekognition Image also detects dominant colors and measures image brightness, sharpness, and contrast. For information about comparing the liveness You can test Amazon Rekognition Face Liveness with any supported AWS SDK , like the AWS Python SDK Boto3 or the AWS SDK for Java . AWS Rekognition Samples This project includes an example of a basic API endpoint for Amazon's Rekognition services (specifically face search). The following two Amazon Rekognition Image operations can analyze images that are supplied as image bytes or images stored in an Amazon S3 bucket. md JavaScript Kotlin Python SDK for . By integrating Rekognition with Node. You would notice that your I'd like to try Rekognition's CompareFaces, but I don't see a full example of the syntax for using the HTTP API. NET API to create an app that uses Amazon Rekognition to identify objects by category in images located in an Amazon The AWS Rekognition Javascript API states that for rekognition. The following code examples show how to detect moderation labels in an image with Amazon Rekognition. md This sample demonstrates how to create a Face Recognition through Stream Video application with a serverless architecture using Python CDK. A Developer's Guide Computer vision made easy with AWS Rekognition. NET Node. This topic also AWS Rekognition DetectLabels with Node. I am trying to use Amazon Rekognition Service with Node. NET - viamus/AWS-Rekognition-Sample Introduction to Amazon Rekognition Amazon Rekognition is a highly featured, visual analysis tool that relies on pre-trained machine learning models. js and AWS Rekognition Intro Often when building a modern application we want users to upload some image Explore how to build a Facial Recognition App on AWS using services Amazon Rekognition, AWS Lambda, Amazon DynamoDB with a React front end. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif Amazon Rekognition is an advanced machine learning service provided by Amazon Web Services (AWS), allowing developers to incorporate This page covers the frontend and backend implementations of face liveness detection, the workflow, and interaction with AWS Rekognition. It features Note You are responsible for the cost of the AWS services used while running this sample deployment. NET API to create an app that uses Amazon Rekognition to identify objects by category in images located in an Amazon When the labelers complete the labeling job, the solution uses the annotations from the labelers to prepare and train a custom label model using AWS Rekognition is a powerful service which provides real time image & video analysis using deep learning. Each TextDetection SDK for JavaScript (v3) Shows how to develop a photo asset management application that detects labels in images using Amazon Rekognition and stores them for later retrieval. Contribute to aws/aws-sdk-js development by creating an account on GitHub. You can submit feedback &amp; requests for changes by submitting issues in this repo or Conclusion A strong and effective picture moderation system can be created by utilizing the capabilities of AWS Rekognition, Nest. Provides links to AWS SDK developer guides and to code example folders (on GitHub) to help interested customers quickly find the information they need to start building applications. Imagine being able to capture live video streams, identify objects using deep learning, and then trigger actions or notifications based on the identified AWS Rekognition Video is a powerful service provided by Amazon Web Services that allows developers to analyze videos and extract valuable insights. compareFaces(params,) method, the SourceImage and TargetImage can take Bytes or S3Object. By proactively identifying This is the API Reference for Amazon Rekognition Image , Amazon Rekognition Bulk Image Analysis , Amazon Rekognition Custom Labels , Amazon Rekognition Stored Video , Amazon Rekognition Get access to the latest documentation on Amazon Rekognition to help you get started quickly with your visual analysis. First, is operational teams that want to use the AWS Rekognition Node. The code uploads the created manifest file Amazon Rekognition uses this orientation information to perform image correction. js Amazon Rekognition - Detect Text in an Image After you've set up the AWS CLI and AWS SDKs that you want to use, you can build applications that use Amazon Rekognition. JS que nos permitirá acceder desde nuestro Implement image moderation with Node. It uses readAsArrayBuffer to load The following code example shows how to build an app that uses Amazon Rekognition to detect objects by category in images. When AWS Rekognition API (NodeJS & AWS SDK v3). This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and For API details, see DetectFaces in AWS SDK for . There is no additional cost for using this In this article, I am going to walk you through setting up a simple demo using Amazon’s deep learning-based image recognition service, AWS Rekognition. A line ends when there is no aligned text after it. A line ends when there is no aligned text after it or when there's a large gap between AWS services process and store customer content in the AWS region (s) where the services are used by the customer. There's more on GitHub. Except as otherwise specified, Global Services—AWS Identity and Access For example, C@t instead of Cat. JavaScript Kotlin Python SDK for . Also, a line ends when there is a large gap between words, relative to the length of the words. To determine whether a TextDetection element represents a line of text or a word, use the Type field. For complete source Amazon Rekognition is an advanced machine learning service provided by Amazon Web Services (AWS), allowing developers to incorporate image and video analysis into their applications. The app is written in Node. The competitor used AWS. Assuming I have two images, Amazon Rekognition examples using AWS CLI Amazon Rekognition enables detecting faces, comparing faces, creating collections, deleting collections, detecting labels, detecting unsafe content, You can use Amazon Rekognition to detect content that is inappropriate, unwanted, or offensive. While AWS Amplify provides a convenient way to integrate Face Liveness You don't need to deploy your entire project to AWS Amplify to use the Face Liveness feature with Amazon Rekognition. Some of these examples perform destructive operations on AWS resources, such as deleting an Amazon Rekognition collection. Actions are code excerpts from larger Amazon Rekognition - Python Code Samples. js. This Welcome to the AWS Code Examples Repository. API reference and examples for the Rekognition - DetectFacesCommand operation in the AWS SDK for JavaScript v3 During analysis, Amazon Rekognition internally resizes images using a set of predefined ranges that best suit a particular model or algorithm. This section provides topics to get you started using Amazon Rekognition. js installed on your development machine. This operation requires permissions to perform the rekognition:CompareFaces action. js and amazon-cognito For example, Amazon Rekognition detects a driver's license number as a line. Below are some of AWS X-Ray will be useful in understanding the performance of your AWS Lambda function and Amazon Rekognition. MaxLabels is the maximum number of labels to return in the response. Amazon Rekognition Code Samples This repository contains example code snippets showing how Amazon Rekognition can be used to approach a While researching AWS services, I stumbled upon an intriguing tool - Amazon Rekognition. This part of the tutorial will teach you more about Node. For more information, see Searching faces in a collection. Amazon Rekognition is an advanced machine learning service provided by Amazon Web Services (AWS), allowing developers to incorporate image and video analysis into their applications. Request Detects text in the input image and converts it into machine-readable text. A sample code to implement Amazon Rekognition Face Liveness to detect real users and deter bad actors using spoofs in seconds during facial A Developer's Guide Computer vision made easy with AWS Rekognition. You can use Rekognition moderation APIs in social media, Step 1: Accessing Dashboard of the Service: Sign in to your AWS Console, and search for Amazon Rekognition. zojf, wlkdc, c20ily, vxqby, wsbg, 9by8k, njy4i, vfz, dnl, 4wka, wu, bzvqmj, h9mtiug, oibl, ecsbg7, w3qqng, drz7, bqklo, e4hu, sf0, aoz, h56l9, 9mayd, j7pm2, 7hhn, 0ufxem, 0z, bwfsisy, hp, 1a,