Program.cs

using Microsoft.Azure.CognitiveServices.Vision.Face;
using Microsoft.Azure.CognitiveServices.Vision.Face.Models;
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
//Detecção Facial, imprime a idade do indivíduo;
namespace face_quickstart{
    class Program{
        public static IFaceClient Authenticate(string endpoint, string key){
            return new FaceClient(ApiKeyServiceClientCredentials(key)){ Endpoint = endpoint };
        }
        public static async Task DetectFaceExtract(IFaceClient client, string url, string recognitionModel){
            Console.WriteLine("Detectção Facial");
            Console.WriteLine();
            IList<DetectedFace> detectedFaces;
            detectedFaces = await client.Face.DetectWithUrlAsync($"{url}", returnFaceAttributes: new List<FaceAttributeType> {FaceAttributeType.Age}, recognitionModel: recognitionModel);
            Console.WriteLine($" {detectedFaces.Count} rostos detectados");
            Console.WriteLine();
            foreach(var face in detectedFaces){
                Console.WriteLine($"Atributos do Rosto");
                Console.WriteLine($" Idade : {FaceAttributeType.Age}");//Imprime a idade do rosto;
                Console.WriteLine();
            }
        } 
        static void Main(string[] args){
            const string RECOGNITION_MODEL2 = RecognitionModel.Recognition02;
            const string RECOGNITION_MODEL1 = RecognitionModel.Recognition01;
            string url_do_video;
            IFaceClient client = Authenticate("https://detectarrostoexercicio4.cognitiveservices.azure.com/", "340b5c20191d4fdfaf75e48e6c123e36");
            Console.Clear();
            url_do_video = "https://imagens.canaltech.com.br/235861.470219-StyleGAN.jpg";//Acessa a imagem;
            DetectFaceExtract(client, url_do_video, RECOGNITION_MODEL2).Wait();//Detecção Facial;
            Console.ReadLine();
            Console.Clear();
        }
    }
}