Custom_Vision_Training_3.2
SuggestTagsAndRegions
This API will get suggested tags and regions for an array/batch of untagged images along with confidences for the tags. It returns an empty array if no tags are found. There is a limit of 64 images in the batch.
Select the testing console in the region where you created your resource:
West US 2 East US East US 2 South Central US West Europe North Europe Southeast Asia Australia East Central India UK South Japan East North Central US Central US EUAPRequest URL
Request parameters
string
Format - uuid. The project id.
string
Format - uuid. IterationId to use for tag and region suggestion.
array
Array of image ids tag suggestion are needed for. Use GetUntaggedImages API to get imageIds.
Request headers
Request body
Response 200
OK
[
{
"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
}
}
],
"predictionUncertainty": 0.0
}
]{
"type": "array",
"items": {
"description": "Result of a suggested tags and regions 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
},
"predictionUncertainty": {
"format": "double",
"description": "Uncertainty (entropy) of suggested tags or regions per image.",
"type": "number",
"readOnly": true,
"x-nullable": false
}
}
}
}<SuggestedTagAndRegionArray>
<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>
<predictionUncertainty>0</predictionUncertainty>
</SuggestedTagAndRegionArray>{
"type": "array",
"items": {
"description": "Result of a suggested tags and regions 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
},
"predictionUncertainty": {
"format": "double",
"description": "Uncertainty (entropy) of suggested tags or regions per image.",
"type": "number",
"readOnly": true,
"x-nullable": false
}
}
}
}<SuggestedTagAndRegionArray>
<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>
<predictionUncertainty>0</predictionUncertainty>
</SuggestedTagAndRegionArray>{
"type": "array",
"items": {
"description": "Result of a suggested tags and regions 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
},
"predictionUncertainty": {
"format": "double",
"description": "Uncertainty (entropy) of suggested tags or regions per image.",
"type": "number",
"readOnly": true,
"x-nullable": false
}
}
}
}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",
"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",
"BadRequestInvalidImportToken",
"BadRequestExportWhileTraining",
"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",
"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",
"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",
"BadRequestInvalidImportToken",
"BadRequestExportWhileTraining",
"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",
"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",
"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",
"BadRequestInvalidImportToken",
"BadRequestExportWhileTraining",
"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",
"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://australiaeast.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}"
-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://australiaeast.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}&" + 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://australiaeast.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}");
URI uri = builder.build();
HttpPost request = new HttpPost(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://australiaeast.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}&" + $.param(params),
beforeSend: function(xhrObj){
// Request headers
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://australiaeast.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}";
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:@"POST"];
// 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://australiaeast.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}');
$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_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': '{subscription key}',
}
params = urllib.urlencode({
})
try:
conn = httplib.HTTPSConnection('australiaeast.api.cognitive.microsoft.com')
conn.request("POST", "/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}&%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('australiaeast.api.cognitive.microsoft.com')
conn.request("POST", "/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}&%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://australiaeast.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/tagsandregions/suggestions?iterationId={iterationId}&imageIds={imageIds}')
uri.query = URI.encode_www_form({
})
request = Net::HTTP::Post.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