Image recognition using #Azure Computer Vision with C#

Assuming you have an Azure account, if you open up a Computer vision service under Cognitive Services, and grab an API key, you can use Azure to recognise the content of images. – Great for tagging images in blogs, or making sure nobody uploads a nude pic as their profile image on your website – For which you should check out AvatarApi.com for this!
So, lets see some code – I’m using C#, and Newtonsoft to parse the Json;
const string strUrl = “https://westeurope.api.cognitive.microsoft.com/vision/v1.0/analyze?visualFeatures=Tags”;
var wc = new WebClient();
wc.Headers[“Ocp-Apim-Subscription-Key”] = “xxxxxxx”;
var jPost = new { url = Url };
var strPost = JsonConvert.SerializeObject(jPost, Formatting.Indented);
var strJson = wc.UploadString(strUrl, “POST”, strPost);
var jResult = JObject.Parse(strJson);
Depending on your image of course, this will return JSON similar to the following;
{
"tags": [
{
"name": "car",
"confidence": 0.99999725818634
},
{
"name": "outdoor",
"confidence": 0.99585741758347
},
{
"name": "transport",
"confidence": 0.82641708850861
},
{
"name": "blue",
"confidence": 0.51219713687897
},
{
"name": "roof",
"confidence": 0.091790720820427
},
{
"name": "automotive",
"confidence": 0.01434036432286
},
{
"name": "summer",
"confidence": 0.0078773201327271
}
],
"requestId": "e0010f8b-189f-4481-ad02-5b71b3ac2b2b",
"metadata": {
"width": 1600,
"height": 1200,
"format": "Jpeg"
}
}