<Microsoft> developer portal

Custom_Vision_Training_3.1

QuickTestImage

Quick test an image.

Select the testing console in the region where you created your resource:

Open API testing console

Request URL

https://{endpoint}/customvision/v3.1/training/projects/{projectId}/quicktest/image[?iterationId][&store]

Request parameters

projectId

string

Format - uuid. The project id.

iterationId (optional)

string

Format - uuid. Optional. Specifies the id of a particular iteration to evaluate against. The default iteration for the project will be used when not specified.

store (optional)

boolean

Optional. Specifies whether or not to store the result of this prediction. The default is true, to store.

Request headers

Training-Key

string

API key.

Content-Type

string

Media type of the body sent to the API.

Training-key

string

Subscription key which provides access to this API. Found in your Profile.

Request body

multipart/form-data

{
  "id": "string",
  "project": "string",
  "iteration": "string",
  "created": "string",
  "predictions": [
    {
      "probability": 0.0,
      "tagId": "string",
      "tagName": "string",
      "boundingBox": {
        "left": 0.0,
        "top": 0.0,
        "width": 0.0,
        "height": 0.0
      }
    }
  ]
}

{
  "description": "Result of an image prediction request.",
  "type": "object",
  "properties": {
    "id": {
      "format": "uuid",
      "description": "Prediction Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "project": {
      "format": "uuid",
      "description": "Project Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "iteration": {
      "format": "uuid",
      "description": "Iteration Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "created": {
      "format": "date-time",
      "description": "Date this prediction was created.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "predictions": {
      "description": "List of predictions.",
      "type": "array",
      "items": {
        "description": "Prediction result.",
        "type": "object",
        "properties": {
          "probability": {
            "format": "float",
            "description": "Probability of the tag.",
            "type": "number",
            "readOnly": true,
            "x-nullable": false
          },
          "tagId": {
            "format": "uuid",
            "description": "Id of the predicted tag.",
            "type": "string",
            "readOnly": true,
            "x-nullable": false
          },
          "tagName": {
            "description": "Name of the predicted tag.",
            "type": "string",
            "readOnly": true,
            "x-nullable": true
          },
          "boundingBox": {
            "description": "Bounding box of the prediction.",
            "required": [
              "left",
              "top",
              "width",
              "height"
            ],
            "type": "object",
            "properties": {
              "left": {
                "format": "float",
                "description": "Coordinate of the left boundary.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "top": {
                "format": "float",
                "description": "Coordinate of the top boundary.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "width": {
                "format": "float",
                "description": "Width.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "height": {
                "format": "float",
                "description": "Height.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              }
            },
            "readOnly": true,
            "x-nullable": true
          }
        },
        "x-nullable": false
      },
      "readOnly": true
    }
  }
}

Sample
Schema

<ImagePrediction>
  <id>string</id>
  <project>string</project>
  <iteration>string</iteration>
  <created>string</created>
  <predictions>
    <probability>0</probability>
    <tagId>string</tagId>
    <tagName>string</tagName>
    <boundingBox>
      <left>0</left>
      <top>0</top>
      <width>0</width>
      <height>0</height>
    </boundingBox>
  </predictions>
</ImagePrediction>

{
  "description": "Result of an image prediction request.",
  "type": "object",
  "properties": {
    "id": {
      "format": "uuid",
      "description": "Prediction Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "project": {
      "format": "uuid",
      "description": "Project Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "iteration": {
      "format": "uuid",
      "description": "Iteration Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "created": {
      "format": "date-time",
      "description": "Date this prediction was created.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "predictions": {
      "description": "List of predictions.",
      "type": "array",
      "items": {
        "description": "Prediction result.",
        "type": "object",
        "properties": {
          "probability": {
            "format": "float",
            "description": "Probability of the tag.",
            "type": "number",
            "readOnly": true,
            "x-nullable": false
          },
          "tagId": {
            "format": "uuid",
            "description": "Id of the predicted tag.",
            "type": "string",
            "readOnly": true,
            "x-nullable": false
          },
          "tagName": {
            "description": "Name of the predicted tag.",
            "type": "string",
            "readOnly": true,
            "x-nullable": true
          },
          "boundingBox": {
            "description": "Bounding box of the prediction.",
            "required": [
              "left",
              "top",
              "width",
              "height"
            ],
            "type": "object",
            "properties": {
              "left": {
                "format": "float",
                "description": "Coordinate of the left boundary.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "top": {
                "format": "float",
                "description": "Coordinate of the top boundary.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "width": {
                "format": "float",
                "description": "Width.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "height": {
                "format": "float",
                "description": "Height.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              }
            },
            "readOnly": true,
            "x-nullable": true
          }
        },
        "x-nullable": false
      },
      "readOnly": true
    }
  }
}

Sample
Schema

<ImagePrediction>
  <id>string</id>
  <project>string</project>
  <iteration>string</iteration>
  <created>string</created>
  <predictions>
    <probability>0</probability>
    <tagId>string</tagId>
    <tagName>string</tagName>
    <boundingBox>
      <left>0</left>
      <top>0</top>
      <width>0</width>
      <height>0</height>
    </boundingBox>
  </predictions>
</ImagePrediction>

{
  "description": "Result of an image prediction request.",
  "type": "object",
  "properties": {
    "id": {
      "format": "uuid",
      "description": "Prediction Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "project": {
      "format": "uuid",
      "description": "Project Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "iteration": {
      "format": "uuid",
      "description": "Iteration Id.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "created": {
      "format": "date-time",
      "description": "Date this prediction was created.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "predictions": {
      "description": "List of predictions.",
      "type": "array",
      "items": {
        "description": "Prediction result.",
        "type": "object",
        "properties": {
          "probability": {
            "format": "float",
            "description": "Probability of the tag.",
            "type": "number",
            "readOnly": true,
            "x-nullable": false
          },
          "tagId": {
            "format": "uuid",
            "description": "Id of the predicted tag.",
            "type": "string",
            "readOnly": true,
            "x-nullable": false
          },
          "tagName": {
            "description": "Name of the predicted tag.",
            "type": "string",
            "readOnly": true,
            "x-nullable": true
          },
          "boundingBox": {
            "description": "Bounding box of the prediction.",
            "required": [
              "left",
              "top",
              "width",
              "height"
            ],
            "type": "object",
            "properties": {
              "left": {
                "format": "float",
                "description": "Coordinate of the left boundary.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "top": {
                "format": "float",
                "description": "Coordinate of the top boundary.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "width": {
                "format": "float",
                "description": "Width.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              },
              "height": {
                "format": "float",
                "description": "Height.",
                "type": "number",
                "readOnly": false,
                "x-nullable": false
              }
            },
            "readOnly": true,
            "x-nullable": true
          }
        },
        "x-nullable": false
      },
      "readOnly": true
    }
  }
}

Response 500

Error response

Sample
Schema

{
  "code": "NoError",
  "message": "string"
}

{
  "required": [
    "code",
    "message"
  ],
  "type": "object",
  "properties": {
    "code": {
      "description": "The error code.",
      "enum": [
        "NoError",
        "BadRequest",
        "BadRequestExceededBatchSize",
        "BadRequestNotSupported",
        "BadRequestInvalidIds",
        "BadRequestProjectName",
        "BadRequestProjectNameNotUnique",
        "BadRequestProjectDescription",
        "BadRequestProjectUnknownDomain",
        "BadRequestProjectUnknownClassification",
        "BadRequestProjectUnsupportedDomainTypeChange",
        "BadRequestProjectUnsupportedExportPlatform",
        "BadRequestProjectImagePreprocessingSettings",
        "BadRequestIterationName",
        "BadRequestIterationNameNotUnique",
        "BadRequestIterationDescription",
        "BadRequestIterationIsNotTrained",
        "BadRequestWorkspaceCannotBeModified",
        "BadRequestWorkspaceNotDeletable",
        "BadRequestTagName",
        "BadRequestTagNameNotUnique",
        "BadRequestTagDescription",
        "BadRequestTagType",
        "BadRequestMultipleNegativeTag",
        "BadRequestImageTags",
        "BadRequestImageRegions",
        "BadRequestNegativeAndRegularTagOnSameImage",
        "BadRequestRequiredParamIsNull",
        "BadRequestIterationIsPublished",
        "BadRequestInvalidPublishName",
        "BadRequestInvalidPublishTarget",
        "BadRequestUnpublishFailed",
        "BadRequestIterationNotPublished",
        "BadRequestSubscriptionApi",
        "BadRequestExceedProjectLimit",
        "BadRequestExceedIterationPerProjectLimit",
        "BadRequestExceedTagPerProjectLimit",
        "BadRequestExceedTagPerImageLimit",
        "BadRequestExceededQuota",
        "BadRequestCannotMigrateProjectWithName",
        "BadRequestNotLimitedTrial",
        "BadRequestImageBatch",
        "BadRequestImageStream",
        "BadRequestImageUrl",
        "BadRequestImageFormat",
        "BadRequestImageSizeBytes",
        "BadRequestImageExceededCount",
        "BadRequestTrainingNotNeeded",
        "BadRequestTrainingNotNeededButTrainingPipelineUpdated",
        "BadRequestTrainingValidationFailed",
        "BadRequestClassificationTrainingValidationFailed",
        "BadRequestMultiClassClassificationTrainingValidationFailed",
        "BadRequestMultiLabelClassificationTrainingValidationFailed",
        "BadRequestDetectionTrainingValidationFailed",
        "BadRequestTrainingAlreadyInProgress",
        "BadRequestDetectionTrainingNotAllowNegativeTag",
        "BadRequestInvalidEmailAddress",
        "BadRequestDomainNotSupportedForAdvancedTraining",
        "BadRequestExportPlatformNotSupportedForAdvancedTraining",
        "BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
        "BadRequestExportValidationFailed",
        "BadRequestExportAlreadyInProgress",
        "BadRequestPredictionIdsMissing",
        "BadRequestPredictionIdsExceededCount",
        "BadRequestPredictionTagsExceededCount",
        "BadRequestPredictionResultsExceededCount",
        "BadRequestPredictionInvalidApplicationName",
        "BadRequestPredictionInvalidQueryParameters",
        "BadRequestInvalid",
        "UnsupportedMediaType",
        "Forbidden",
        "ForbiddenUser",
        "ForbiddenUserResource",
        "ForbiddenUserSignupDisabled",
        "ForbiddenUserSignupAllowanceExceeded",
        "ForbiddenUserDoesNotExist",
        "ForbiddenUserDisabled",
        "ForbiddenUserInsufficientCapability",
        "ForbiddenDRModeEnabled",
        "ForbiddenInvalid",
        "NotFound",
        "NotFoundProject",
        "NotFoundProjectDefaultIteration",
        "NotFoundIteration",
        "NotFoundIterationPerformance",
        "NotFoundTag",
        "NotFoundImage",
        "NotFoundDomain",
        "NotFoundApimSubscription",
        "NotFoundInvalid",
        "Conflict",
        "ConflictInvalid",
        "ErrorUnknown",
        "ErrorProjectInvalidWorkspace",
        "ErrorProjectInvalidPipelineConfiguration",
        "ErrorProjectInvalidDomain",
        "ErrorProjectTrainingRequestFailed",
        "ErrorProjectExportRequestFailed",
        "ErrorFeaturizationServiceUnavailable",
        "ErrorFeaturizationQueueTimeout",
        "ErrorFeaturizationInvalidFeaturizer",
        "ErrorFeaturizationAugmentationUnavailable",
        "ErrorFeaturizationUnrecognizedJob",
        "ErrorFeaturizationAugmentationError",
        "ErrorExporterInvalidPlatform",
        "ErrorExporterInvalidFeaturizer",
        "ErrorExporterInvalidClassifier",
        "ErrorPredictionServiceUnavailable",
        "ErrorPredictionModelNotFound",
        "ErrorPredictionModelNotCached",
        "ErrorPrediction",
        "ErrorPredictionStorage",
        "ErrorRegionProposal",
        "ErrorInvalid"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "CustomVisionErrorCodes",
        "modelAsString": true
      }
    },
    "message": {
      "description": "A message explaining the error reported by the service.",
      "type": "string"
    }
  }
}

Sample
Schema

<CustomVisionError>
  <code>NoError</code>
  <message>string</message>
</CustomVisionError>

{
  "required": [
    "code",
    "message"
  ],
  "type": "object",
  "properties": {
    "code": {
      "description": "The error code.",
      "enum": [
        "NoError",
        "BadRequest",
        "BadRequestExceededBatchSize",
        "BadRequestNotSupported",
        "BadRequestInvalidIds",
        "BadRequestProjectName",
        "BadRequestProjectNameNotUnique",
        "BadRequestProjectDescription",
        "BadRequestProjectUnknownDomain",
        "BadRequestProjectUnknownClassification",
        "BadRequestProjectUnsupportedDomainTypeChange",
        "BadRequestProjectUnsupportedExportPlatform",
        "BadRequestProjectImagePreprocessingSettings",
        "BadRequestIterationName",
        "BadRequestIterationNameNotUnique",
        "BadRequestIterationDescription",
        "BadRequestIterationIsNotTrained",
        "BadRequestWorkspaceCannotBeModified",
        "BadRequestWorkspaceNotDeletable",
        "BadRequestTagName",
        "BadRequestTagNameNotUnique",
        "BadRequestTagDescription",
        "BadRequestTagType",
        "BadRequestMultipleNegativeTag",
        "BadRequestImageTags",
        "BadRequestImageRegions",
        "BadRequestNegativeAndRegularTagOnSameImage",
        "BadRequestRequiredParamIsNull",
        "BadRequestIterationIsPublished",
        "BadRequestInvalidPublishName",
        "BadRequestInvalidPublishTarget",
        "BadRequestUnpublishFailed",
        "BadRequestIterationNotPublished",
        "BadRequestSubscriptionApi",
        "BadRequestExceedProjectLimit",
        "BadRequestExceedIterationPerProjectLimit",
        "BadRequestExceedTagPerProjectLimit",
        "BadRequestExceedTagPerImageLimit",
        "BadRequestExceededQuota",
        "BadRequestCannotMigrateProjectWithName",
        "BadRequestNotLimitedTrial",
        "BadRequestImageBatch",
        "BadRequestImageStream",
        "BadRequestImageUrl",
        "BadRequestImageFormat",
        "BadRequestImageSizeBytes",
        "BadRequestImageExceededCount",
        "BadRequestTrainingNotNeeded",
        "BadRequestTrainingNotNeededButTrainingPipelineUpdated",
        "BadRequestTrainingValidationFailed",
        "BadRequestClassificationTrainingValidationFailed",
        "BadRequestMultiClassClassificationTrainingValidationFailed",
        "BadRequestMultiLabelClassificationTrainingValidationFailed",
        "BadRequestDetectionTrainingValidationFailed",
        "BadRequestTrainingAlreadyInProgress",
        "BadRequestDetectionTrainingNotAllowNegativeTag",
        "BadRequestInvalidEmailAddress",
        "BadRequestDomainNotSupportedForAdvancedTraining",
        "BadRequestExportPlatformNotSupportedForAdvancedTraining",
        "BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
        "BadRequestExportValidationFailed",
        "BadRequestExportAlreadyInProgress",
        "BadRequestPredictionIdsMissing",
        "BadRequestPredictionIdsExceededCount",
        "BadRequestPredictionTagsExceededCount",
        "BadRequestPredictionResultsExceededCount",
        "BadRequestPredictionInvalidApplicationName",
        "BadRequestPredictionInvalidQueryParameters",
        "BadRequestInvalid",
        "UnsupportedMediaType",
        "Forbidden",
        "ForbiddenUser",
        "ForbiddenUserResource",
        "ForbiddenUserSignupDisabled",
        "ForbiddenUserSignupAllowanceExceeded",
        "ForbiddenUserDoesNotExist",
        "ForbiddenUserDisabled",
        "ForbiddenUserInsufficientCapability",
        "ForbiddenDRModeEnabled",
        "ForbiddenInvalid",
        "NotFound",
        "NotFoundProject",
        "NotFoundProjectDefaultIteration",
        "NotFoundIteration",
        "NotFoundIterationPerformance",
        "NotFoundTag",
        "NotFoundImage",
        "NotFoundDomain",
        "NotFoundApimSubscription",
        "NotFoundInvalid",
        "Conflict",
        "ConflictInvalid",
        "ErrorUnknown",
        "ErrorProjectInvalidWorkspace",
        "ErrorProjectInvalidPipelineConfiguration",
        "ErrorProjectInvalidDomain",
        "ErrorProjectTrainingRequestFailed",
        "ErrorProjectExportRequestFailed",
        "ErrorFeaturizationServiceUnavailable",
        "ErrorFeaturizationQueueTimeout",
        "ErrorFeaturizationInvalidFeaturizer",
        "ErrorFeaturizationAugmentationUnavailable",
        "ErrorFeaturizationUnrecognizedJob",
        "ErrorFeaturizationAugmentationError",
        "ErrorExporterInvalidPlatform",
        "ErrorExporterInvalidFeaturizer",
        "ErrorExporterInvalidClassifier",
        "ErrorPredictionServiceUnavailable",
        "ErrorPredictionModelNotFound",
        "ErrorPredictionModelNotCached",
        "ErrorPrediction",
        "ErrorPredictionStorage",
        "ErrorRegionProposal",
        "ErrorInvalid"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "CustomVisionErrorCodes",
        "modelAsString": true
      }
    },
    "message": {
      "description": "A message explaining the error reported by the service.",
      "type": "string"
    }
  }
}

Sample
Schema

<CustomVisionError>
  <code>NoError</code>
  <message>string</message>
</CustomVisionError>

{
  "required": [
    "code",
    "message"
  ],
  "type": "object",
  "properties": {
    "code": {
      "description": "The error code.",
      "enum": [
        "NoError",
        "BadRequest",
        "BadRequestExceededBatchSize",
        "BadRequestNotSupported",
        "BadRequestInvalidIds",
        "BadRequestProjectName",
        "BadRequestProjectNameNotUnique",
        "BadRequestProjectDescription",
        "BadRequestProjectUnknownDomain",
        "BadRequestProjectUnknownClassification",
        "BadRequestProjectUnsupportedDomainTypeChange",
        "BadRequestProjectUnsupportedExportPlatform",
        "BadRequestProjectImagePreprocessingSettings",
        "BadRequestIterationName",
        "BadRequestIterationNameNotUnique",
        "BadRequestIterationDescription",
        "BadRequestIterationIsNotTrained",
        "BadRequestWorkspaceCannotBeModified",
        "BadRequestWorkspaceNotDeletable",
        "BadRequestTagName",
        "BadRequestTagNameNotUnique",
        "BadRequestTagDescription",
        "BadRequestTagType",
        "BadRequestMultipleNegativeTag",
        "BadRequestImageTags",
        "BadRequestImageRegions",
        "BadRequestNegativeAndRegularTagOnSameImage",
        "BadRequestRequiredParamIsNull",
        "BadRequestIterationIsPublished",
        "BadRequestInvalidPublishName",
        "BadRequestInvalidPublishTarget",
        "BadRequestUnpublishFailed",
        "BadRequestIterationNotPublished",
        "BadRequestSubscriptionApi",
        "BadRequestExceedProjectLimit",
        "BadRequestExceedIterationPerProjectLimit",
        "BadRequestExceedTagPerProjectLimit",
        "BadRequestExceedTagPerImageLimit",
        "BadRequestExceededQuota",
        "BadRequestCannotMigrateProjectWithName",
        "BadRequestNotLimitedTrial",
        "BadRequestImageBatch",
        "BadRequestImageStream",
        "BadRequestImageUrl",
        "BadRequestImageFormat",
        "BadRequestImageSizeBytes",
        "BadRequestImageExceededCount",
        "BadRequestTrainingNotNeeded",
        "BadRequestTrainingNotNeededButTrainingPipelineUpdated",
        "BadRequestTrainingValidationFailed",
        "BadRequestClassificationTrainingValidationFailed",
        "BadRequestMultiClassClassificationTrainingValidationFailed",
        "BadRequestMultiLabelClassificationTrainingValidationFailed",
        "BadRequestDetectionTrainingValidationFailed",
        "BadRequestTrainingAlreadyInProgress",
        "BadRequestDetectionTrainingNotAllowNegativeTag",
        "BadRequestInvalidEmailAddress",
        "BadRequestDomainNotSupportedForAdvancedTraining",
        "BadRequestExportPlatformNotSupportedForAdvancedTraining",
        "BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
        "BadRequestExportValidationFailed",
        "BadRequestExportAlreadyInProgress",
        "BadRequestPredictionIdsMissing",
        "BadRequestPredictionIdsExceededCount",
        "BadRequestPredictionTagsExceededCount",
        "BadRequestPredictionResultsExceededCount",
        "BadRequestPredictionInvalidApplicationName",
        "BadRequestPredictionInvalidQueryParameters",
        "BadRequestInvalid",
        "UnsupportedMediaType",
        "Forbidden",
        "ForbiddenUser",
        "ForbiddenUserResource",
        "ForbiddenUserSignupDisabled",
        "ForbiddenUserSignupAllowanceExceeded",
        "ForbiddenUserDoesNotExist",
        "ForbiddenUserDisabled",
        "ForbiddenUserInsufficientCapability",
        "ForbiddenDRModeEnabled",
        "ForbiddenInvalid",
        "NotFound",
        "NotFoundProject",
        "NotFoundProjectDefaultIteration",
        "NotFoundIteration",
        "NotFoundIterationPerformance",
        "NotFoundTag",
        "NotFoundImage",
        "NotFoundDomain",
        "NotFoundApimSubscription",
        "NotFoundInvalid",
        "Conflict",
        "ConflictInvalid",
        "ErrorUnknown",
        "ErrorProjectInvalidWorkspace",
        "ErrorProjectInvalidPipelineConfiguration",
        "ErrorProjectInvalidDomain",
        "ErrorProjectTrainingRequestFailed",
        "ErrorProjectExportRequestFailed",
        "ErrorFeaturizationServiceUnavailable",
        "ErrorFeaturizationQueueTimeout",
        "ErrorFeaturizationInvalidFeaturizer",
        "ErrorFeaturizationAugmentationUnavailable",
        "ErrorFeaturizationUnrecognizedJob",
        "ErrorFeaturizationAugmentationError",
        "ErrorExporterInvalidPlatform",
        "ErrorExporterInvalidFeaturizer",
        "ErrorExporterInvalidClassifier",
        "ErrorPredictionServiceUnavailable",
        "ErrorPredictionModelNotFound",
        "ErrorPredictionModelNotCached",
        "ErrorPrediction",
        "ErrorPredictionStorage",
        "ErrorRegionProposal",
        "ErrorInvalid"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "CustomVisionErrorCodes",
        "modelAsString": true
      }
    },
    "message": {
      "description": "A message explaining the error reported by the service.",
      "type": "string"
    }
  }
}

Code samples

@ECHO OFF

curl -v -X POST "https://*.cognitiveservices.azure.com/customvision/v3.1/training/projects/{projectId}/quicktest/image?iterationId={string}&store=True"
-H "Training-Key: "
-H "Content-Type: multipart/form-data"
-H "Training-key: {subscription key}"

--data-ascii "{body}"

using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            MakeRequest();
            Console.WriteLine("Hit ENTER to exit...");
            Console.ReadLine();
        }
        
        static async void MakeRequest()
        {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);

            // Request headers
            client.DefaultRequestHeaders.Add("Training-Key", "");
            client.DefaultRequestHeaders.Add("Training-key", "{subscription key}");

            // Request parameters
            queryString["iterationId"] = "{string}";
            queryString["store"] = "True";
            var uri = "https://*.cognitiveservices.azure.com/customvision/v3.1/training/projects/{projectId}/quicktest/image?" + queryString;

            HttpResponseMessage response;

            // Request body
            byte[] byteData = Encoding.UTF8.GetBytes("{body}");

            using (var content = new ByteArrayContent(byteData))
            {
               content.Headers.ContentType = new MediaTypeHeaderValue("< your content type, i.e. application/json >");
               response = await client.PostAsync(uri, content);
            }

        }
    }
}

// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

public class JavaSample 
{
    public static void main(String[] args) 
    {
        HttpClient httpclient = HttpClients.createDefault();

        try
        {
            URIBuilder builder = new URIBuilder("https://*.cognitiveservices.azure.com/customvision/v3.1/training/projects/{projectId}/quicktest/image");

            builder.setParameter("iterationId", "{string}");
            builder.setParameter("store", "True");

            URI uri = builder.build();
            HttpPost request = new HttpPost(uri);
            request.setHeader("Training-Key", "");
            request.setHeader("Content-Type", "multipart/form-data");
            request.setHeader("Training-key", "{subscription key}");


            // Request body
            StringEntity reqEntity = new StringEntity("{body}");
            request.setEntity(reqEntity);

            HttpResponse response = httpclient.execute(request);
            HttpEntity entity = response.getEntity();

            if (entity != null) 
            {
                System.out.println(EntityUtils.toString(entity));
            }
        }
        catch (Exception e)
        {
            System.out.println(e.getMessage());
        }
    }
}

<!DOCTYPE html>
<html>
<head>
    <title>JSSample</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>

<script type="text/javascript">
    $(function() {
        var params = {
            // Request parameters
            "iterationId": "{string}",
            "store": "True",
        };
      
        $.ajax({
            url: "https://*.cognitiveservices.azure.com/customvision/v3.1/training/projects/{projectId}/quicktest/image?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
                xhrObj.setRequestHeader("Training-Key","");
                xhrObj.setRequestHeader("Content-Type","multipart/form-data");
                xhrObj.setRequestHeader("Training-key","{subscription key}");
            },
            type: "POST",
            // Request body
            data: "{body}",
        })
        .done(function(data) {
            alert("success");
        })
        .fail(function() {
            alert("error");
        });
    });
</script>
</body>
</html>

#import <Foundation/Foundation.h>

int main(int argc, const char * argv[])
{
    NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
    
    NSString* path = @"https://*.cognitiveservices.azure.com/customvision/v3.1/training/projects/{projectId}/quicktest/image";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                         @"iterationId={string}",
                         @"store=True",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"POST"];
    // Request headers
    [_request setValue:@"" forHTTPHeaderField:@"Training-Key"];
    [_request setValue:@"multipart/form-data" forHTTPHeaderField:@"Content-Type"];
    [_request setValue:@"{subscription key}" forHTTPHeaderField:@"Training-key"];
    // Request body
    [_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
    
    NSURLResponse *response = nil;
    NSError *error = nil;
    NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];

    if (nil != error)
    {
        NSLog(@"Error: %@", error);
    }
    else
    {
        NSError* error = nil;
        NSMutableDictionary* json = nil;
        NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
        NSLog(@"%@", dataString);
        
        if (nil != _connectionData)
        {
            json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
        }
        
        if (error || !json)
        {
            NSLog(@"Could not parse loaded json with error:%@", error);
        }
        
        NSLog(@"%@", json);
        _connectionData = nil;
    }
    
    [pool drain];

    return 0;
}

<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';

$request = new Http_Request2('https://*.cognitiveservices.azure.com/customvision/v3.1/training/projects/{projectId}/quicktest/image');
$url = $request->getUrl();

$headers = array(
    // Request headers
    'Training-Key' => '',
    'Content-Type' => 'multipart/form-data',
    'Training-key' => '{subscription key}',
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
    'iterationId' => '{string}',
    'store' => 'True',
);

$url->setQueryVariables($parameters);

$request->setMethod(HTTP_Request2::METHOD_POST);

// Request body
$request->setBody("{body}");

try
{
    $response = $request->send();
    echo $response->getBody();
}
catch (HttpException $ex)
{
    echo $ex;
}

?>

########### Python 2.7 #############
import httplib, urllib, base64

headers = {
    # Request headers
    'Training-Key': '',
    'Content-Type': 'multipart/form-data',
    'Training-key': '{subscription key}',
}

params = urllib.urlencode({
    # Request parameters
    'iterationId': '{string}',
    'store': 'True',
})

try:
    conn = httplib.HTTPSConnection('*.cognitiveservices.azure.com')
    conn.request("POST", "/customvision/v3.1/training/projects/{projectId}/quicktest/image?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {
    # Request headers
    'Training-Key': '',
    'Content-Type': 'multipart/form-data',
    'Training-key': '{subscription key}',
}

params = urllib.parse.urlencode({
    # Request parameters
    'iterationId': '{string}',
    'store': 'True',
})

try:
    conn = http.client.HTTPSConnection('*.cognitiveservices.azure.com')
    conn.request("POST", "/customvision/v3.1/training/projects/{projectId}/quicktest/image?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

require 'net/http'

uri = URI('https://*.cognitiveservices.azure.com/customvision/v3.1/training/projects/{projectId}/quicktest/image')
uri.query = URI.encode_www_form({
    # Request parameters
    'iterationId' => '{string}',
    'store' => 'True'
})

request = Net::HTTP::Post.new(uri.request_uri)
# Request headers
request['Training-Key'] = ''
# Request headers
request['Content-Type'] = 'multipart/form-data'
# Request headers
request['Training-key'] = '{subscription key}'
# Request body
request.body = "{body}"

response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
    http.request(request)
end

puts response.body