8 posts about Face Detection by 8 contributors.
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This article provides details about ML Kit in Android.
This article is a hands-on tutorial to create a face detection and recognition system using Azure Cognitive Services. Face Detection and Recognition are non-trivial computer vision problems and are solved with machine learning approach. There are multitudes of libraries that offers the solution for these problems. Howsoever, with Azure Cognitive Services, it becomes a lot easier.
Here we are going to discuss about creating a small application to take picture and detect faces in that picture.
In this post, we will focus on the Microsoft Cognitive Services Face API. Specifically, we'll look at what you can do with the Face API and then, we will run through an example of it.
In this article, you will learn about image classification - face detection and identification using Azure Face API Cognitive Service.
In this article you will learn how to detect human faces using Cognitive Service in Xamarin forms. Xamarin.Forms code runs on multiple platforms - each of which has its own filesystem. This means that reading and writing files is most easily done using the native file APIs on each platform. Alternatively, embedded resources are a simpler solution to distribute data files with an app.
In this article, you will learn how to use Microsoft Cognitive Services Face API to detect and count the number of faces in an image.
In this article, you will learn about face detection, using Microsoft Cognitive Service.
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