Topic: rekognition Goto Github
Some thing interesting about rekognition
Some thing interesting about rekognition
rekognition,unified cli for various saas image classification apis.
User: 28mm
rekognition,Demo web applications that use AWS Artificial Intelligence services Rekognition and Polly (http://poliko.adhorn.me)
User: adhorn
rekognition,Image Recognition Web App using the AWS rekognition service API
User: ajyounguk
rekognition,A Flask app to generate soundscapes from pictures and videos
User: alexjsmac
Home Page: https://soundscape-generator-prod-499357478113.herokuapp.com/
rekognition,This demo shows how you can use Amazon IVS's Auto-Record-to-S3 feature in conjunction with Amazon Rekognition to moderate streams.
Organization: aws-samples
Home Page: https://aws.amazon.com/ivs/
rekognition,With Amazon Rekognition Custom Labels, you can easily build and deploy Machine Learning (ML) models to identify custom objects which are specific to your business domain in images without requiring advanced ML knowledge. When combined with Amazon Augmented AI (A2I), you can quickly integrate a ML workflow to capture and label images with a human workforce for model training. As ML lifecycle is an iterative and repetitive process, you need to implement an effective workflow that can provide for continuous model training with new data and automated deployment. Your workflow also needs to be flexible enough to allow for changes without requiring development rework as your business objectives change. Operationalizing an effective and flexible workflow can be resource intensive, especially for customers who have limited machine learning capabilities. In this post, we will use AWS Step Functions, AWS Lambda, and AWS System Manager Parameter Store to automate a configurable ML workflow for Rekognition Custom Labels and A2I. We will provide an overview of the solution and instructions to deploy it with AWS CloudFormation.
Organization: aws-samples
rekognition,This project contains source code and supporting files for a serverless application which can be used for Computer Vision inferencing using Amazon Rekognition.
Organization: aws-samples
rekognition,This sample, built using AWS Amplify, is meant to showcase recommended flows when using Amazon Rekognition for Identity Verification.
Organization: aws-samples
rekognition,This repo presents a demo application for realtime livestream video quality monitoring using AWS serverless and AI/ML services.
Organization: aws-samples
rekognition,AWS Sample for processing ROS bag files to detect objects within exported images. The solution draws bounding boxes for the detected objects within the exported images.
Organization: aws-samples
rekognition,Backend and a JavaScript frontend of a liveness detection application.
Organization: aws-samples
rekognition,Example implementation of the Identity Verification using Amazon Rekognition whitepaper.
Organization: aws-samples
rekognition,Sample demo that shows how to build an AI powered app using Amplify, AppSync, DynamoDB, Cognito and Rekognition.
Organization: aws-samples
rekognition,Building Product Descriptions with AWS Bedrock and Rekognition
Organization: aws-solutions-library-samples
Home Page: https://aws.amazon.com/solutions/guidance/generating-product-descriptions-with-amazon-bedrock/
rekognition,Image Proxy for use with Wallets
Organization: cryptonomic
rekognition,This is a general overview of the Predictions category of Amplify. It shows examples of Machine Learning and AI service integration in a React app with AWS Amplify Predictions category
User: dabit3
rekognition,Real-time image tracking with React, GraphQL, and AWS AppSync
User: dabit3
rekognition,AWS Serverless Application Model Example
User: dejonghe
rekognition,Application that tries recognize pokรฉmons analyzing an photo (a.k.a pokรฉdex). Built to AWS Cloud.
User: diegovictor
rekognition,Examples of using AWS Rekognition from Python
User: drpventura
rekognition,Tombstone scanner - the idea is to help my dad find family names from photos of tombstones as part of a geneology/family tree project. Using AWS Rekognition to provide the OCR/machine learning to recoginise text in the images.
User: etiennemunnich
rekognition,An intelligent photo gallery built with Drupal 8.
User: geerlingguy
rekognition,Fast object detection, face recognition and S3 upload of ZoneMinder alarms.
User: goruck
rekognition,Unified UI and API for processing and training images for facial recognition.
User: jakowenko
Home Page: https://hub.docker.com/r/jakowenko/double-take
rekognition,An event-driven app to label images on top of AWS using SST (Serverless Stack), TypeScript, and React.
User: jpbarbosa
Home Page: https://github.com/jpbarbosa/sst-rekognition/wiki
rekognition,A demo illustrating Laravel's integration with the AWS suite (e.g. S3, Rekognition, Elastic Transcoder)
User: jpcaparas
Home Page: https://aws.amazon.com/
rekognition,A Python script for Face Recognition using Amazon Rekognition and Twitter API
User: jvillegasd
rekognition,Lambda function to pull from S3, run image through AWS Rekognition and store in DynamoDB
User: kalefive
rekognition,AWS ๋ฟ์๊ธฐ - ์ผ๊ตด๋ถ์์ ํตํ ํ์ ์ ์๋ง์ ์์ ์ถ์ฒ ์๋น์ค
User: kyeahen
rekognition,A Laravel Package/Facade for the AWS Rekognition API
Organization: larareko
rekognition,This repository contains a collection of CDK templates to build by leveraging Serverless and Services by Amazon Web Services
User: made2591
rekognition,An API, storage and face detection for a photo archive web app using serverless framework
User: mbudm
rekognition,๐ A wrapper to easily & quickly integrate popular image & video recognition libraries. Currently supports AWS Rekognition.
Organization: meemalabs
rekognition,Example with WebRTC , AWS Rekognition :+1:
User: okandavut
rekognition,้ก่ช่ญใงไบบใฎ้กใ๐ใซๅคๆใใWebใตใผใในใใใใใฃใใ
User: p1ass
Home Page: https://emojic.ch
rekognition,Sample app for AWS Serverless Repository - uses Amazon Rekognition to recognize person on the photo
User: pimlock
rekognition,AWS Rekognition Image detect for VueJS + Typescript
User: rainywalker
Home Page: https://d2s2p7wotwr9sd.cloudfront.net/
rekognition,A cross-platform iOS and Android app with liveness detection and facial recognition. Written using React Native and AWS Rekognition
User: rdtaylorjr
rekognition,Face Attendance (AWS rekognition)
User: rizwansoaib
rekognition,Home Assistant Object detection with Amazon Rekognition
User: robmarkcole
rekognition,NVR like user Interface for RTSP capable cameras
User: seydx
Home Page: https://github.com/seydx/camera.ui
rekognition,Homebridge plugin for RTSP Cameras with HSV, motion detection support, Image Rekognition, Web UI to manage/watch streams and WebApp support
User: seydx
rekognition,AWS Rekognition library
User: simon-contreras-deel
rekognition,A simple Getting Started with AWS Amplify, S3 and Rekognition workshop for beginners
User: sohanmaheshwar
rekognition,Build an automated content moderated system using Amazon Rekognition
User: sohanmaheshwar
rekognition,Notes & HowTo's covering the Raspberry Pi, Arduino, ESP8266, ESP32, etc.
User: tangowhisky37
Home Page: https://github.com/tangowhisky37/LetsHack
rekognition,TACOS (There's a Cat On the Sundeck) Detector
User: tritlo
Home Page: https://twitter.com/TACOSDetector
rekognition,Biometric user authentication system using face recognition and voice recognition.
User: wayncheng
Home Page: https://my-pass.herokuapp.com
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