Welcome to the TechNet Wiki Tuesday – TNWiki Article Spotlight.
The days are running faster then expected and we are in month of November 2017 ,So you all know that next is December,you all might be exited to enter the month of December 2017 .If you ask me why i was so exited to welcome December month the answer is simple as that month has lots of holidays and its our last month of our current year and also in last day of December month we will be waiting to welcome the new year beginning.So we at the end of this year and in this happy time,I would like to share a wonderful article written by Pete Laker and the article link is here Azure Cognitive Services - Computer Vision - Image Recognition API - iSpy plug-in code example.
This article explains in detail about what is Azure Cognitive Services and also explains about what is API and how to use it.lets see what our TechNet Wiki Ninja Guru and this article author Pete Laker explaining in this article.Pete Laker start his article with below introduction and if you are looking to work with below mentioned projects then this article is made for you all.
Azure Cognitive Services provide some amazing machine learning API tools to add powerful analysis to your applications. All you need to do is register for an API key and you can get started straight away!
This article will show you how the "Analyse" API works and how easy it is to integrate.
To demonstrate, I will make a plug-in (class library) for the popular open source camera monitor software iSpy.
This article focuses on the API service. For more details on how to use the plug-in in iSpy, please read this write-up on MSDN, where the code is available, as well as on GitHub.
I believe this article will be a great feast for all who is looking to work with Azure Cognitive Service and don't miss to read this article from here Azure Cognitive Services - Computer Vision - Image Recognition API - iSpy plug-in code example by Pete Laker. I hope you all enjoy reading his article.
See you all soon in another blog post.
Thank you all.