Image Detection Using Custom Vision AI

1 minute read

Custom vision AI is an interesting way to detect images. Just upload your image, train and then evaluate. To know more, please visit :
Step 1: A subscription keys. To get a subscription key go to this link: Obtaining Subscription Keys.
Step 2: Need an IDE for example: Visual Studio 2017
Step to create a sample application:
Step 3: Open visual studio and create a console application
Step 4: Replace content of the Program.cs file by the following code.

using System;
using System.IO;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Threading.Tasks;
namespace CSPredictionSample
    static class Program
        static void Main()
            Console.Write("Enter image file path: ");
            string imageFilePath = @"D:\Projects\Github\ms-cognitive\CustomVision\Images\Test\Mahedee.JPG";
            //Predict uploaded image
            Console.WriteLine("\n\n\nHit ENTER to exit...");
        //Convert image as byte stream
        static byte[] GetImageAsByteArray(string imageFilePath)
            FileStream fileStream = new FileStream(imageFilePath, FileMode.Open, FileAccess.Read);
            BinaryReader binaryReader = new BinaryReader(fileStream);
            return binaryReader.ReadBytes((int)fileStream.Length);
        static async Task MakePredictionRequest(string imageFilePath)
            var client = new HttpClient();
            //To get prediction key, url and content type, please go to
            //Project -> Performance -> Prediction URL
            //Request headers - replace this example key with your valid subscription key.
            client.DefaultRequestHeaders.Add("Prediction-Key", "Enter your Subscription key here");
            //client.DefaultRequestHeaders.Add("Prediction-Key", "71c950638c3c4f34be320cc952174ba7");
            // Prediction URL - replace this example URL with your valid prediction URL.
            string url = "";
            //string url = "";
            HttpResponseMessage response;
            // Request body. Try this sample with a locally stored image.
            byte[] byteData = GetImageAsByteArray(imageFilePath);
            using (var content = new ByteArrayContent(byteData))
                //content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
                content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
                response = await client.PostAsync(url, content);
                Console.WriteLine(await response.Content.ReadAsStringAsync());

Step 5: Replace your subscription key
Step 6: Replace your image path
Now you will see the following output of the given image.