Custom_Vision_Training_3.4-preview

GetDomain

Get information about a specific domain.

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

Open API testing console

Request URL

Request parameters

string

Format - uuid. The id of the domain to get information about.

Request headers

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

Request body

Response 200

OK

{
  "id": "00000000-0000-0000-0000-000000000000",
  "name": "string",
  "type": "Classification",
  "exportable": true,
  "enabled": true,
  "exportablePlatforms": [
    "CoreML"
  ],
  "modelInformation": {
    "estimatedModelSizeInMegabytes": 0,
    "description": "string"
  }
}
{
  "description": "Domains are used as the starting point for your project. Each domain is optimized for specific types of images. Domains with compact in their name can be exported. For more information visit the <a href=\"https://go.microsoft.com/fwlink/?linkid=2117014\">domain documentation</a>.",
  "type": "object",
  "properties": {
    "id": {
      "format": "uuid",
      "description": "Domain id.",
      "type": "string",
      "readOnly": true,
      "example": "00000000-0000-0000-0000-000000000000",
      "x-nullable": false
    },
    "name": {
      "description": "Name of the domain, describing the types of images used to train it.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "type": {
      "description": "Domain type: Classification or ObjectDetection.",
      "enum": [
        "Classification",
        "ObjectDetection"
      ],
      "type": "string",
      "readOnly": true,
      "x-nullable": false,
      "x-ms-enum": {
        "name": "DomainType",
        "modelAsString": true
      }
    },
    "exportable": {
      "description": "Indicating if the domain is exportable.",
      "type": "boolean",
      "readOnly": true,
      "x-nullable": false
    },
    "enabled": {
      "description": "Indicating if the domain is enabled.",
      "type": "boolean",
      "readOnly": true,
      "x-nullable": false
    },
    "exportablePlatforms": {
      "description": "Platforms that the domain can be exported to.",
      "type": "array",
      "items": {
        "enum": [
          "CoreML",
          "TensorFlow",
          "DockerFile",
          "ONNX",
          "VAIDK",
          "OpenVino"
        ],
        "type": "string",
        "x-nullable": false
      },
      "readOnly": true
    },
    "modelInformation": {
      "description": "Model information.",
      "type": "object",
      "properties": {
        "estimatedModelSizeInMegabytes": {
          "format": "int32",
          "description": "Estimation of the exported FP32 Onnx model size (2 tags) in megabytes. This information is not present if the model cannot be exported.",
          "type": "integer",
          "readOnly": false
        },
        "description": {
          "description": "Model description.",
          "type": "string",
          "readOnly": false,
          "x-nullable": false
        }
      },
      "readOnly": true
    }
  }
}
<Domain>
  <id>00000000-0000-0000-0000-000000000000</id>
  <name>string</name>
  <type>Classification</type>
  <exportable>true</exportable>
  <enabled>true</enabled>
  <exportablePlatforms>CoreML</exportablePlatforms>
  <modelInformation>
    <estimatedModelSizeInMegabytes>0</estimatedModelSizeInMegabytes>
    <description>string</description>
  </modelInformation>
</Domain>
{
  "description": "Domains are used as the starting point for your project. Each domain is optimized for specific types of images. Domains with compact in their name can be exported. For more information visit the <a href=\"https://go.microsoft.com/fwlink/?linkid=2117014\">domain documentation</a>.",
  "type": "object",
  "properties": {
    "id": {
      "format": "uuid",
      "description": "Domain id.",
      "type": "string",
      "readOnly": true,
      "example": "00000000-0000-0000-0000-000000000000",
      "x-nullable": false
    },
    "name": {
      "description": "Name of the domain, describing the types of images used to train it.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "type": {
      "description": "Domain type: Classification or ObjectDetection.",
      "enum": [
        "Classification",
        "ObjectDetection"
      ],
      "type": "string",
      "readOnly": true,
      "x-nullable": false,
      "x-ms-enum": {
        "name": "DomainType",
        "modelAsString": true
      }
    },
    "exportable": {
      "description": "Indicating if the domain is exportable.",
      "type": "boolean",
      "readOnly": true,
      "x-nullable": false
    },
    "enabled": {
      "description": "Indicating if the domain is enabled.",
      "type": "boolean",
      "readOnly": true,
      "x-nullable": false
    },
    "exportablePlatforms": {
      "description": "Platforms that the domain can be exported to.",
      "type": "array",
      "items": {
        "enum": [
          "CoreML",
          "TensorFlow",
          "DockerFile",
          "ONNX",
          "VAIDK",
          "OpenVino"
        ],
        "type": "string",
        "x-nullable": false
      },
      "readOnly": true
    },
    "modelInformation": {
      "description": "Model information.",
      "type": "object",
      "properties": {
        "estimatedModelSizeInMegabytes": {
          "format": "int32",
          "description": "Estimation of the exported FP32 Onnx model size (2 tags) in megabytes. This information is not present if the model cannot be exported.",
          "type": "integer",
          "readOnly": false
        },
        "description": {
          "description": "Model description.",
          "type": "string",
          "readOnly": false,
          "x-nullable": false
        }
      },
      "readOnly": true
    }
  }
}
<Domain>
  <id>00000000-0000-0000-0000-000000000000</id>
  <name>string</name>
  <type>Classification</type>
  <exportable>true</exportable>
  <enabled>true</enabled>
  <exportablePlatforms>CoreML</exportablePlatforms>
  <modelInformation>
    <estimatedModelSizeInMegabytes>0</estimatedModelSizeInMegabytes>
    <description>string</description>
  </modelInformation>
</Domain>
{
  "description": "Domains are used as the starting point for your project. Each domain is optimized for specific types of images. Domains with compact in their name can be exported. For more information visit the <a href=\"https://go.microsoft.com/fwlink/?linkid=2117014\">domain documentation</a>.",
  "type": "object",
  "properties": {
    "id": {
      "format": "uuid",
      "description": "Domain id.",
      "type": "string",
      "readOnly": true,
      "example": "00000000-0000-0000-0000-000000000000",
      "x-nullable": false
    },
    "name": {
      "description": "Name of the domain, describing the types of images used to train it.",
      "type": "string",
      "readOnly": true,
      "x-nullable": false
    },
    "type": {
      "description": "Domain type: Classification or ObjectDetection.",
      "enum": [
        "Classification",
        "ObjectDetection"
      ],
      "type": "string",
      "readOnly": true,
      "x-nullable": false,
      "x-ms-enum": {
        "name": "DomainType",
        "modelAsString": true
      }
    },
    "exportable": {
      "description": "Indicating if the domain is exportable.",
      "type": "boolean",
      "readOnly": true,
      "x-nullable": false
    },
    "enabled": {
      "description": "Indicating if the domain is enabled.",
      "type": "boolean",
      "readOnly": true,
      "x-nullable": false
    },
    "exportablePlatforms": {
      "description": "Platforms that the domain can be exported to.",
      "type": "array",
      "items": {
        "enum": [
          "CoreML",
          "TensorFlow",
          "DockerFile",
          "ONNX",
          "VAIDK",
          "OpenVino"
        ],
        "type": "string",
        "x-nullable": false
      },
      "readOnly": true
    },
    "modelInformation": {
      "description": "Model information.",
      "type": "object",
      "properties": {
        "estimatedModelSizeInMegabytes": {
          "format": "int32",
          "description": "Estimation of the exported FP32 Onnx model size (2 tags) in megabytes. This information is not present if the model cannot be exported.",
          "type": "integer",
          "readOnly": false
        },
        "description": {
          "description": "Model description.",
          "type": "string",
          "readOnly": false,
          "x-nullable": false
        }
      },
      "readOnly": true
    }
  }
}

Response 500

Error response

{
  "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",
        "BadRequestProjectDuplicated",
        "BadRequestIterationName",
        "BadRequestIterationNameNotUnique",
        "BadRequestIterationDescription",
        "BadRequestIterationIsNotTrained",
        "BadRequestIterationValidationFailed",
        "BadRequestWorkspaceCannotBeModified",
        "BadRequestWorkspaceNotDeletable",
        "BadRequestTagName",
        "BadRequestTagNameNotUnique",
        "BadRequestTagDescription",
        "BadRequestTagType",
        "BadRequestMultipleNegativeTag",
        "BadRequestMultipleGeneralProductTag",
        "BadRequestImageTags",
        "BadRequestImageRegions",
        "BadRequestNegativeAndRegularTagOnSameImage",
        "BadRequestUnsupportedDomain",
        "BadRequestRequiredParamIsNull",
        "BadRequestIterationIsPublished",
        "BadRequestInvalidPublishName",
        "BadRequestInvalidPublishTarget",
        "BadRequestUnpublishFailed",
        "BadRequestIterationNotPublished",
        "BadRequestSubscriptionApi",
        "BadRequestExceedProjectLimit",
        "BadRequestExceedIterationPerProjectLimit",
        "BadRequestExceedTagPerProjectLimit",
        "BadRequestExceedTagPerImageLimit",
        "BadRequestExceededQuota",
        "BadRequestCannotMigrateProjectWithName",
        "BadRequestNotLimitedTrial",
        "BadRequestImageBatch",
        "BadRequestImageStream",
        "BadRequestImageUrl",
        "BadRequestImageFormat",
        "BadRequestImageSizeBytes",
        "BadRequestImageDimensions",
        "BadRequestImageAspectRatio",
        "BadRequestImageExceededCount",
        "BadRequestTrainingNotNeeded",
        "BadRequestTrainingNotNeededButTrainingPipelineUpdated",
        "BadRequestTrainingValidationFailed",
        "BadRequestClassificationTrainingValidationFailed",
        "BadRequestMultiClassClassificationTrainingValidationFailed",
        "BadRequestMultiLabelClassificationTrainingValidationFailed",
        "BadRequestDetectionTrainingValidationFailed",
        "BadRequestTrainingAlreadyInProgress",
        "BadRequestDetectionTrainingNotAllowNegativeTag",
        "BadRequestInvalidEmailAddress",
        "BadRequestRetiredDomainNotSupportedForTraining",
        "BadRequestDomainNotSupportedForAdvancedTraining",
        "BadRequestExportPlatformNotSupportedForAdvancedTraining",
        "BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
        "BadRequestCustomBaseModelIterationStatusNotCompleted",
        "BadRequestCustomBaseModelDomainNotCompatible",
        "BadRequestCustomBaseModelArchitectureRetired",
        "BadRequestExportValidationFailed",
        "BadRequestExportAlreadyInProgress",
        "BadRequestPredictionIdsMissing",
        "BadRequestPredictionIdsExceededCount",
        "BadRequestPredictionTagsExceededCount",
        "BadRequestPredictionResultsExceededCount",
        "BadRequestPredictionInvalidApplicationName",
        "BadRequestPredictionInvalidQueryParameters",
        "BadRequestInvalidImportToken",
        "BadRequestExportWhileTraining",
        "BadRequestImageMetadataKey",
        "BadRequestImageMetadataValue",
        "BadRequestOperationNotSupported",
        "BadRequestInvalidArtifactUri",
        "BadRequestCustomerManagedKeyRevoked",
        "BadRequestInvalidUri",
        "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",
        "ErrorIterationCopyFailed",
        "ErrorPreparePerformanceMigrationFailed",
        "ErrorProjectInvalidWorkspace",
        "ErrorProjectInvalidPipelineConfiguration",
        "ErrorProjectInvalidDomain",
        "ErrorProjectTrainingRequestFailed",
        "ErrorProjectImportRequestFailed",
        "ErrorProjectExportRequestFailed",
        "ErrorFeaturizationServiceUnavailable",
        "ErrorFeaturizationQueueTimeout",
        "ErrorFeaturizationInvalidFeaturizer",
        "ErrorFeaturizationAugmentationUnavailable",
        "ErrorFeaturizationUnrecognizedJob",
        "ErrorFeaturizationAugmentationError",
        "ErrorExporterInvalidPlatform",
        "ErrorExporterInvalidFeaturizer",
        "ErrorExporterInvalidClassifier",
        "ErrorPredictionServiceUnavailable",
        "ErrorPredictionModelNotFound",
        "ErrorPredictionModelNotCached",
        "ErrorPrediction",
        "ErrorPredictionStorage",
        "ErrorRegionProposal",
        "ErrorUnknownBaseModel",
        "ErrorServerTimeOut",
        "ErrorInvalid"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "CustomVisionErrorCodes",
        "modelAsString": true
      }
    },
    "message": {
      "description": "A message explaining the error reported by the service.",
      "type": "string"
    }
  }
}
<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",
        "BadRequestProjectDuplicated",
        "BadRequestIterationName",
        "BadRequestIterationNameNotUnique",
        "BadRequestIterationDescription",
        "BadRequestIterationIsNotTrained",
        "BadRequestIterationValidationFailed",
        "BadRequestWorkspaceCannotBeModified",
        "BadRequestWorkspaceNotDeletable",
        "BadRequestTagName",
        "BadRequestTagNameNotUnique",
        "BadRequestTagDescription",
        "BadRequestTagType",
        "BadRequestMultipleNegativeTag",
        "BadRequestMultipleGeneralProductTag",
        "BadRequestImageTags",
        "BadRequestImageRegions",
        "BadRequestNegativeAndRegularTagOnSameImage",
        "BadRequestUnsupportedDomain",
        "BadRequestRequiredParamIsNull",
        "BadRequestIterationIsPublished",
        "BadRequestInvalidPublishName",
        "BadRequestInvalidPublishTarget",
        "BadRequestUnpublishFailed",
        "BadRequestIterationNotPublished",
        "BadRequestSubscriptionApi",
        "BadRequestExceedProjectLimit",
        "BadRequestExceedIterationPerProjectLimit",
        "BadRequestExceedTagPerProjectLimit",
        "BadRequestExceedTagPerImageLimit",
        "BadRequestExceededQuota",
        "BadRequestCannotMigrateProjectWithName",
        "BadRequestNotLimitedTrial",
        "BadRequestImageBatch",
        "BadRequestImageStream",
        "BadRequestImageUrl",
        "BadRequestImageFormat",
        "BadRequestImageSizeBytes",
        "BadRequestImageDimensions",
        "BadRequestImageAspectRatio",
        "BadRequestImageExceededCount",
        "BadRequestTrainingNotNeeded",
        "BadRequestTrainingNotNeededButTrainingPipelineUpdated",
        "BadRequestTrainingValidationFailed",
        "BadRequestClassificationTrainingValidationFailed",
        "BadRequestMultiClassClassificationTrainingValidationFailed",
        "BadRequestMultiLabelClassificationTrainingValidationFailed",
        "BadRequestDetectionTrainingValidationFailed",
        "BadRequestTrainingAlreadyInProgress",
        "BadRequestDetectionTrainingNotAllowNegativeTag",
        "BadRequestInvalidEmailAddress",
        "BadRequestRetiredDomainNotSupportedForTraining",
        "BadRequestDomainNotSupportedForAdvancedTraining",
        "BadRequestExportPlatformNotSupportedForAdvancedTraining",
        "BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
        "BadRequestCustomBaseModelIterationStatusNotCompleted",
        "BadRequestCustomBaseModelDomainNotCompatible",
        "BadRequestCustomBaseModelArchitectureRetired",
        "BadRequestExportValidationFailed",
        "BadRequestExportAlreadyInProgress",
        "BadRequestPredictionIdsMissing",
        "BadRequestPredictionIdsExceededCount",
        "BadRequestPredictionTagsExceededCount",
        "BadRequestPredictionResultsExceededCount",
        "BadRequestPredictionInvalidApplicationName",
        "BadRequestPredictionInvalidQueryParameters",
        "BadRequestInvalidImportToken",
        "BadRequestExportWhileTraining",
        "BadRequestImageMetadataKey",
        "BadRequestImageMetadataValue",
        "BadRequestOperationNotSupported",
        "BadRequestInvalidArtifactUri",
        "BadRequestCustomerManagedKeyRevoked",
        "BadRequestInvalidUri",
        "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",
        "ErrorIterationCopyFailed",
        "ErrorPreparePerformanceMigrationFailed",
        "ErrorProjectInvalidWorkspace",
        "ErrorProjectInvalidPipelineConfiguration",
        "ErrorProjectInvalidDomain",
        "ErrorProjectTrainingRequestFailed",
        "ErrorProjectImportRequestFailed",
        "ErrorProjectExportRequestFailed",
        "ErrorFeaturizationServiceUnavailable",
        "ErrorFeaturizationQueueTimeout",
        "ErrorFeaturizationInvalidFeaturizer",
        "ErrorFeaturizationAugmentationUnavailable",
        "ErrorFeaturizationUnrecognizedJob",
        "ErrorFeaturizationAugmentationError",
        "ErrorExporterInvalidPlatform",
        "ErrorExporterInvalidFeaturizer",
        "ErrorExporterInvalidClassifier",
        "ErrorPredictionServiceUnavailable",
        "ErrorPredictionModelNotFound",
        "ErrorPredictionModelNotCached",
        "ErrorPrediction",
        "ErrorPredictionStorage",
        "ErrorRegionProposal",
        "ErrorUnknownBaseModel",
        "ErrorServerTimeOut",
        "ErrorInvalid"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "CustomVisionErrorCodes",
        "modelAsString": true
      }
    },
    "message": {
      "description": "A message explaining the error reported by the service.",
      "type": "string"
    }
  }
}
<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",
        "BadRequestProjectDuplicated",
        "BadRequestIterationName",
        "BadRequestIterationNameNotUnique",
        "BadRequestIterationDescription",
        "BadRequestIterationIsNotTrained",
        "BadRequestIterationValidationFailed",
        "BadRequestWorkspaceCannotBeModified",
        "BadRequestWorkspaceNotDeletable",
        "BadRequestTagName",
        "BadRequestTagNameNotUnique",
        "BadRequestTagDescription",
        "BadRequestTagType",
        "BadRequestMultipleNegativeTag",
        "BadRequestMultipleGeneralProductTag",
        "BadRequestImageTags",
        "BadRequestImageRegions",
        "BadRequestNegativeAndRegularTagOnSameImage",
        "BadRequestUnsupportedDomain",
        "BadRequestRequiredParamIsNull",
        "BadRequestIterationIsPublished",
        "BadRequestInvalidPublishName",
        "BadRequestInvalidPublishTarget",
        "BadRequestUnpublishFailed",
        "BadRequestIterationNotPublished",
        "BadRequestSubscriptionApi",
        "BadRequestExceedProjectLimit",
        "BadRequestExceedIterationPerProjectLimit",
        "BadRequestExceedTagPerProjectLimit",
        "BadRequestExceedTagPerImageLimit",
        "BadRequestExceededQuota",
        "BadRequestCannotMigrateProjectWithName",
        "BadRequestNotLimitedTrial",
        "BadRequestImageBatch",
        "BadRequestImageStream",
        "BadRequestImageUrl",
        "BadRequestImageFormat",
        "BadRequestImageSizeBytes",
        "BadRequestImageDimensions",
        "BadRequestImageAspectRatio",
        "BadRequestImageExceededCount",
        "BadRequestTrainingNotNeeded",
        "BadRequestTrainingNotNeededButTrainingPipelineUpdated",
        "BadRequestTrainingValidationFailed",
        "BadRequestClassificationTrainingValidationFailed",
        "BadRequestMultiClassClassificationTrainingValidationFailed",
        "BadRequestMultiLabelClassificationTrainingValidationFailed",
        "BadRequestDetectionTrainingValidationFailed",
        "BadRequestTrainingAlreadyInProgress",
        "BadRequestDetectionTrainingNotAllowNegativeTag",
        "BadRequestInvalidEmailAddress",
        "BadRequestRetiredDomainNotSupportedForTraining",
        "BadRequestDomainNotSupportedForAdvancedTraining",
        "BadRequestExportPlatformNotSupportedForAdvancedTraining",
        "BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
        "BadRequestCustomBaseModelIterationStatusNotCompleted",
        "BadRequestCustomBaseModelDomainNotCompatible",
        "BadRequestCustomBaseModelArchitectureRetired",
        "BadRequestExportValidationFailed",
        "BadRequestExportAlreadyInProgress",
        "BadRequestPredictionIdsMissing",
        "BadRequestPredictionIdsExceededCount",
        "BadRequestPredictionTagsExceededCount",
        "BadRequestPredictionResultsExceededCount",
        "BadRequestPredictionInvalidApplicationName",
        "BadRequestPredictionInvalidQueryParameters",
        "BadRequestInvalidImportToken",
        "BadRequestExportWhileTraining",
        "BadRequestImageMetadataKey",
        "BadRequestImageMetadataValue",
        "BadRequestOperationNotSupported",
        "BadRequestInvalidArtifactUri",
        "BadRequestCustomerManagedKeyRevoked",
        "BadRequestInvalidUri",
        "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",
        "ErrorIterationCopyFailed",
        "ErrorPreparePerformanceMigrationFailed",
        "ErrorProjectInvalidWorkspace",
        "ErrorProjectInvalidPipelineConfiguration",
        "ErrorProjectInvalidDomain",
        "ErrorProjectTrainingRequestFailed",
        "ErrorProjectImportRequestFailed",
        "ErrorProjectExportRequestFailed",
        "ErrorFeaturizationServiceUnavailable",
        "ErrorFeaturizationQueueTimeout",
        "ErrorFeaturizationInvalidFeaturizer",
        "ErrorFeaturizationAugmentationUnavailable",
        "ErrorFeaturizationUnrecognizedJob",
        "ErrorFeaturizationAugmentationError",
        "ErrorExporterInvalidPlatform",
        "ErrorExporterInvalidFeaturizer",
        "ErrorExporterInvalidClassifier",
        "ErrorPredictionServiceUnavailable",
        "ErrorPredictionModelNotFound",
        "ErrorPredictionModelNotCached",
        "ErrorPrediction",
        "ErrorPredictionStorage",
        "ErrorRegionProposal",
        "ErrorUnknownBaseModel",
        "ErrorServerTimeOut",
        "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 GET "https://*.cognitiveservices.azure.us/customvision/v3.4-preview/Training/domains/{domainId}"
-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", "{subscription key}");

            var uri = "https://*.cognitiveservices.azure.us/customvision/v3.4-preview/Training/domains/{domainId}?" + queryString;

            var response = await client.GetAsync(uri);
        }
    }
}	
// // 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.us/customvision/v3.4-preview/Training/domains/{domainId}");


            URI uri = builder.build();
            HttpGet request = new HttpGet(uri);
            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
        };
      
        $.ajax({
            url: "https://*.cognitiveservices.azure.us/customvision/v3.4-preview/Training/domains/{domainId}?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
                xhrObj.setRequestHeader("Training-key","{subscription key}");
            },
            type: "GET",
            // 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.us/customvision/v3.4-preview/Training/domains/{domainId}";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"GET"];
    // Request headers
    [_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.us/customvision/v3.4-preview/Training/domains/{domainId}');
$url = $request->getUrl();

$headers = array(
    // Request headers
    'Training-key' => '{subscription key}',
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
);

$url->setQueryVariables($parameters);

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

// 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': '{subscription key}',
}

params = urllib.urlencode({
})

try:
    conn = httplib.HTTPSConnection('*.cognitiveservices.azure.us')
    conn.request("GET", "/customvision/v3.4-preview/Training/domains/{domainId}?%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': '{subscription key}',
}

params = urllib.parse.urlencode({
})

try:
    conn = http.client.HTTPSConnection('*.cognitiveservices.azure.us')
    conn.request("GET", "/customvision/v3.4-preview/Training/domains/{domainId}?%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.us/customvision/v3.4-preview/Training/domains/{domainId}')
uri.query = URI.encode_www_form({
})

request = Net::HTTP::Get.new(uri.request_uri)
# 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