如何像Google照片一样在Azure ML中构建面部/图像分类器
我需要在Azure ML-中构建图像分类模型，该模型最初从电话中获取输入（在应用程序中使用ID之类的信息，我们还将捕获人的图像 - 此处的ID用于标记图像）将重定向到数据存储。完成后，我们将将人的n张图像上传到数据存储中，它应该能够基于面部识别来对图像进行分类，并应将其归类为不同人的单独图像文件夹（就像Google Photos一样）。简而言之，如果有100个独特的人来入住，并且在活动中，如果我们单击这100个独特的人的随机图像，那么当我们将这些数据加载到斑点上时，它应该分别对这些人进行分类。
我可以使用近方法
- 1.检查应用程序中 - 加载图像带标签 2.博客 - 存储图像 3。自定义Vison- ML分类器 4.将n图像数量插入斑点 5。将图像与在应用程序加载的图像中进行比较，并将其归类为专辑，就像Google照片一样 6。将专辑加载到应用程序以使与会者查看图像，
请指导我使用解决方案，需要考虑将其在Azure中实现，
以感谢Adavance
I need to build an image classification model in Azure ML- which initially takes an input from Phone (A check in app which takes information like ID and also we will capture the image of the person- Here ID is used to tag the image) which will be redirected to data storage. once it's done, we will upload the n number of images of person to the data storage, it should able to classify the image based on facial recognition and should categorize as separate image folder for different person( Just like Google Photos). In short, If there's a 100 unique people come for check in and during the event if we click random images of these 100 unique persons, when we load this data to blob - it should categorize the persons separately.
Can I go with approach-
1.Check in app-- Loads image with tag
2.Blob- store the image
3. custom vison- ML classifier
4.Loding n number of images to blob
5. comparing the image with check in app loaded image and categorizing as album just like google photos
6. Loading albums to app to make attendees to see the images
Please guide me with the solution and services need to be considered to make this possible in azure
Thanks in adavance
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在Azure中，您需要研究认知服务，并在此处找到更多信息： htttps ：//azure.microsoft.com/en-us/services/cognitive-services/
Azure认知服务基本上是一系列API端点。在您的示例中，您可以将图像从移动设备发布到Azure端点，您可以在其中训练服务以识别个人并将其返回图片中人员的JSON包，或者让它在这些人周围放置矩形图片等。其他认知服务包括与图像，语音，视频等相关的
。 -services/face/“ rel =” nofollow noreferrer“> https://azure.microsoft.com/en-us/services/cognitive-services/face/face/
https：//azure.microsoft.com/en-us/services/services/cognitive-services/cognitive-services/cognitive-services/computer--puticer-puticer--puter--视觉/＃概述
Within Azure you need to look into Cognitive Services, with more information located here: https://azure.microsoft.com/en-us/services/cognitive-services/
Azure Cognitive Services is substantially surfaced as a series of API endpoints. In your example, you can post images from the mobile device to the Azure endpoint, where you can train the services to recognize individuals and have it return a JSON package of the people in the picture, or have it place rectangles around those people in a picture, etc. Other Cognitive Services include those related to images, speech, video, etc.
The Face API maps to your scenario well: https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/#overview