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classifai

10up / classifai

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Azure / pixel_level_land_classification

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Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

microsoft cntk geospatial-data neural-networks image-classification image-segmentation azure-storage land-cover land-use geospatial-analysis microsoft-azure microsoft-machine-learning cntk-model azure-batchai
  • Updated Jul 25, 2019
  • Jupyter Notebook

vany0114 / microservices-dotnetcore-docker-sf-k8s

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Shows an approach to work with a microservices based architecture using .Net Core, Docker, and Azure Service Fabric/Kubernetes, applying Domain Driven Design (DDD) and Comand and Query Responsibility Segregation (CQRS) and other patterns.

docker kubernetes microservices cqrs mongodb rabbitmq ddd domain-driven-design dotnet-core k8s entity-framework-core asp-net-core azure-service-fabric ddd-architecture azure-service-bus servicefabric microsoft-azure cosmos-db cqrs-pattern netcore31
  • Updated Jan 29, 2021
  • C#

ishaanjav / Face_Analyzer

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The purpose of this Android app is to utilize the Microsoft Face API to not only detect individual faces in an image, but also for each face provide information such as emotions, the estimated age, gender, and more. Possible applications for this app are at amusement parks, classrooms, and residential homes.

android classroom emotion android-application face-detection microsoft-cognitive-services age cognitive-services emotion-analysis face-analysis face-detection-application facial-expression-recognition emotion-recognition face-api microsoft-azure microsoft-face-api azure-portal azure-account facial-attributes face-analyzer amusement-parks java-emotion-recognizer emotion-recognition-app
  • Updated Feb 10, 2021
  • Java

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