flexibleengine 1.46.0, Apr 14 25

flexibleengine 1.46.0 published on Monday, Apr 14, 2025 by flexibleenginecloud

flexibleenginecloud/terraform-provider-flexibleengine

flexibleengine.getModelartsDatasets

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flexibleengine 1.46.0 published on Monday, Apr 14, 2025 by flexibleenginecloud

flexibleenginecloud/terraform-provider-flexibleengine

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as flexibleengine from "@pulumi/flexibleengine";

const test = flexibleengine.getModelartsDatasets({
    name: "your_dataset_name",
    type: 1,
});

import pulumi
import pulumi_flexibleengine as flexibleengine

test = flexibleengine.get_modelarts_datasets(name="your_dataset_name",
    type=1)

package main

import (
	"github.com/pulumi/pulumi-terraform-provider/sdks/go/flexibleengine/flexibleengine"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := flexibleengine.GetModelartsDatasets(ctx, &flexibleengine.GetModelartsDatasetsArgs{
			Name: pulumi.StringRef("your_dataset_name"),
			Type: pulumi.Float64Ref(1),
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Flexibleengine = Pulumi.Flexibleengine;

return await Deployment.RunAsync(() => 
{
    var test = Flexibleengine.GetModelartsDatasets.Invoke(new()
    {
        Name = "your_dataset_name",
        Type = 1,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.flexibleengine.FlexibleengineFunctions;
import com.pulumi.flexibleengine.inputs.GetModelartsDatasetsArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var test = FlexibleengineFunctions.getModelartsDatasets(GetModelartsDatasetsArgs.builder()
            .name("your_dataset_name")
            .type(1)
            .build());

    }
}

variables:
  test:
    fn::invoke:
      function: flexibleengine:getModelartsDatasets
      arguments:
        name: your_dataset_name
        type: 1

Using getModelartsDatasets

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getModelartsDatasets(args: GetModelartsDatasetsArgs, opts?: InvokeOptions): Promise<GetModelartsDatasetsResult>
function getModelartsDatasetsOutput(args: GetModelartsDatasetsOutputArgs, opts?: InvokeOptions): Output<GetModelartsDatasetsResult>

def get_modelarts_datasets(id: Optional[str] = None,
                           name: Optional[str] = None,
                           region: Optional[str] = None,
                           type: Optional[float] = None,
                           opts: Optional[InvokeOptions] = None) -> GetModelartsDatasetsResult
def get_modelarts_datasets_output(id: Optional[pulumi.Input[str]] = None,
                           name: Optional[pulumi.Input[str]] = None,
                           region: Optional[pulumi.Input[str]] = None,
                           type: Optional[pulumi.Input[float]] = None,
                           opts: Optional[InvokeOptions] = None) -> Output[GetModelartsDatasetsResult]

func GetModelartsDatasets(ctx *Context, args *GetModelartsDatasetsArgs, opts ...InvokeOption) (*GetModelartsDatasetsResult, error)
func GetModelartsDatasetsOutput(ctx *Context, args *GetModelartsDatasetsOutputArgs, opts ...InvokeOption) GetModelartsDatasetsResultOutput

> Note: This function is named GetModelartsDatasets in the Go SDK.

public static class GetModelartsDatasets 
{
    public static Task<GetModelartsDatasetsResult> InvokeAsync(GetModelartsDatasetsArgs args, InvokeOptions? opts = null)
    public static Output<GetModelartsDatasetsResult> Invoke(GetModelartsDatasetsInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetModelartsDatasetsResult> getModelartsDatasets(GetModelartsDatasetsArgs args, InvokeOptions options)
public static Output<GetModelartsDatasetsResult> getModelartsDatasets(GetModelartsDatasetsArgs args, InvokeOptions options)

fn::invoke:
  function: flexibleengine:index/getModelartsDatasets:getModelartsDatasets
  arguments:
    # arguments dictionary

The following arguments are supported:

Id string

The ID of the dataset.

Name string

Specifies the name of datasets.

Region string

Specifies the region in which to obtain datasets. If omitted, the provider-level region will be used.

Type double

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

Id string

The ID of the dataset.

Name string

Specifies the name of datasets.

Region string

Specifies the region in which to obtain datasets. If omitted, the provider-level region will be used.

Type float64

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

id String

The ID of the dataset.

name String

Specifies the name of datasets.

region String

Specifies the region in which to obtain datasets. If omitted, the provider-level region will be used.

type Double

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

id string

The ID of the dataset.

name string

Specifies the name of datasets.

region string

Specifies the region in which to obtain datasets. If omitted, the provider-level region will be used.

type number

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

id str

The ID of the dataset.

name str

Specifies the name of datasets.

region str

Specifies the region in which to obtain datasets. If omitted, the provider-level region will be used.

type float

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

id String

The ID of the dataset.

name String

Specifies the name of datasets.

region String

Specifies the region in which to obtain datasets. If omitted, the provider-level region will be used.

type Number

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

getModelartsDatasets Result

The following output properties are available:

Datasets List<GetModelartsDatasetsDataset>: Indicates a list of all datasets found. Structure is documented below.
Id string: The ID of the dataset.
Region string
Name string: The name of label.
Type double: The field type. Valid values include: String, Short, Int, Long, Double, Float, Byte, Date, Timestamp, Bool.

Datasets []GetModelartsDatasetsDataset: Indicates a list of all datasets found. Structure is documented below.
Id string: The ID of the dataset.
Region string
Name string: The name of label.
Type float64: The field type. Valid values include: String, Short, Int, Long, Double, Float, Byte, Date, Timestamp, Bool.

datasets List<GetModelartsDatasetsDataset>: Indicates a list of all datasets found. Structure is documented below.
id String: The ID of the dataset.
region String
name String: The name of label.
type Double: The field type. Valid values include: String, Short, Int, Long, Double, Float, Byte, Date, Timestamp, Bool.

datasets GetModelartsDatasetsDataset[]: Indicates a list of all datasets found. Structure is documented below.
id string: The ID of the dataset.
region string
name string: The name of label.
type number: The field type. Valid values include: String, Short, Int, Long, Double, Float, Byte, Date, Timestamp, Bool.

datasets Sequence[GetModelartsDatasetsDataset]: Indicates a list of all datasets found. Structure is documented below.
id str: The ID of the dataset.
region str
name str: The name of label.
type float: The field type. Valid values include: String, Short, Int, Long, Double, Float, Byte, Date, Timestamp, Bool.

datasets List<Property Map>: Indicates a list of all datasets found. Structure is documented below.
id String: The ID of the dataset.
region String
name String: The name of label.
type Number: The field type. Valid values include: String, Short, Int, Long, Double, Float, Byte, Date, Timestamp, Bool.

Supporting Types

GetModelartsDatasetsDataset

CreatedAt string

The dataset creation time.

DataFormat string

The dataset format. Valid values include: Default, CarbonData: Carbon format(Supported only for table type dataset.).

DataSources List<GetModelartsDatasetsDatasetDataSource>

The data sources which is used to imported the source data (such as pictures/files/audio, etc.) in this directory and subdirectories to the dataset. Structure is documented below.

Description string

The description of the dataset.

Id string

The ID of the dataset.

Labels List<GetModelartsDatasetsDatasetLabel>

The labels information. Structure is documented below.

Name string

Specifies the name of datasets.

OutputPath string

The OBS path for storing output files such as labeled files.

Schemas List<GetModelartsDatasetsDatasetSchema>

The schema information of source data when type is 400(Table Type). Structure is documented below.

Status double

Dataset status. Valid values are as follows:

0: Creating.
1: Completed.
2: Deleting.
3: Deleted.
4: Exception.
5: Syncing.
6: Releasing.
7: Version switching.
8: Importing.

Type double

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

CreatedAt string

The dataset creation time.

DataFormat string

The dataset format. Valid values include: Default, CarbonData: Carbon format(Supported only for table type dataset.).

DataSources []GetModelartsDatasetsDatasetDataSource

The data sources which is used to imported the source data (such as pictures/files/audio, etc.) in this directory and subdirectories to the dataset. Structure is documented below.

Description string

The description of the dataset.

Id string

The ID of the dataset.

Labels []GetModelartsDatasetsDatasetLabel

The labels information. Structure is documented below.

Name string

Specifies the name of datasets.

OutputPath string

The OBS path for storing output files such as labeled files.

Schemas []GetModelartsDatasetsDatasetSchema

The schema information of source data when type is 400(Table Type). Structure is documented below.

Status float64

Dataset status. Valid values are as follows:

0: Creating.
1: Completed.
2: Deleting.
3: Deleted.
4: Exception.
5: Syncing.
6: Releasing.
7: Version switching.
8: Importing.

Type float64

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

createdAt String

The dataset creation time.

dataFormat String

The dataset format. Valid values include: Default, CarbonData: Carbon format(Supported only for table type dataset.).

dataSources List<GetModelartsDatasetsDatasetDataSource>

The data sources which is used to imported the source data (such as pictures/files/audio, etc.) in this directory and subdirectories to the dataset. Structure is documented below.

description String

The description of the dataset.

id String

The ID of the dataset.

labels List<GetModelartsDatasetsDatasetLabel>

The labels information. Structure is documented below.

name String

Specifies the name of datasets.

outputPath String

The OBS path for storing output files such as labeled files.

schemas List<GetModelartsDatasetsDatasetSchema>

The schema information of source data when type is 400(Table Type). Structure is documented below.

status Double

Dataset status. Valid values are as follows:

0: Creating.
1: Completed.
2: Deleting.
3: Deleted.
4: Exception.
5: Syncing.
6: Releasing.
7: Version switching.
8: Importing.

type Double

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

createdAt string

The dataset creation time.

dataFormat string

The dataset format. Valid values include: Default, CarbonData: Carbon format(Supported only for table type dataset.).

dataSources GetModelartsDatasetsDatasetDataSource[]

The data sources which is used to imported the source data (such as pictures/files/audio, etc.) in this directory and subdirectories to the dataset. Structure is documented below.

description string

The description of the dataset.

id string

The ID of the dataset.

labels GetModelartsDatasetsDatasetLabel[]

The labels information. Structure is documented below.

name string

Specifies the name of datasets.

outputPath string

The OBS path for storing output files such as labeled files.

schemas GetModelartsDatasetsDatasetSchema[]

The schema information of source data when type is 400(Table Type). Structure is documented below.

status number

Dataset status. Valid values are as follows:

0: Creating.
1: Completed.
2: Deleting.
3: Deleted.
4: Exception.
5: Syncing.
6: Releasing.
7: Version switching.
8: Importing.

type number

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

created_at str

The dataset creation time.

data_format str

The dataset format. Valid values include: Default, CarbonData: Carbon format(Supported only for table type dataset.).

data_sources Sequence[GetModelartsDatasetsDatasetDataSource]

The data sources which is used to imported the source data (such as pictures/files/audio, etc.) in this directory and subdirectories to the dataset. Structure is documented below.

description str

The description of the dataset.

id str

The ID of the dataset.

labels Sequence[GetModelartsDatasetsDatasetLabel]

The labels information. Structure is documented below.

name str

Specifies the name of datasets.

output_path str

The OBS path for storing output files such as labeled files.

schemas Sequence[GetModelartsDatasetsDatasetSchema]

The schema information of source data when type is 400(Table Type). Structure is documented below.

status float

Dataset status. Valid values are as follows:

0: Creating.
1: Completed.
2: Deleting.
3: Deleted.
4: Exception.
5: Syncing.
6: Releasing.
7: Version switching.
8: Importing.

type float

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

createdAt String

The dataset creation time.

dataFormat String

The dataset format. Valid values include: Default, CarbonData: Carbon format(Supported only for table type dataset.).

dataSources List<Property Map>

The data sources which is used to imported the source data (such as pictures/files/audio, etc.) in this directory and subdirectories to the dataset. Structure is documented below.

description String

The description of the dataset.

id String

The ID of the dataset.

labels List<Property Map>

The labels information. Structure is documented below.

name String

Specifies the name of datasets.

outputPath String

The OBS path for storing output files such as labeled files.

schemas List<Property Map>

The schema information of source data when type is 400(Table Type). Structure is documented below.

status Number

Dataset status. Valid values are as follows:

0: Creating.
1: Completed.
2: Deleting.
3: Deleted.
4: Exception.
5: Syncing.
6: Releasing.
7: Version switching.
8: Importing.

type Number

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

GetModelartsDatasetsDatasetDataSource

DataType double

The type of data source. Valid values are as follows:

0: OBS.
1: GaussDB(DWS).
2: DLI.
4: MRS.

Path string

The OBS path when data_type is 0(OBS) or the HDFS path when data_type is 4(MRS). All the file in this directory and subdirectories will be which be imported to the dataset.

WithColumnHeader bool

Whether the data contains table header when the type of dataset is 400(Table type).

DataType float64

The type of data source. Valid values are as follows:

0: OBS.
1: GaussDB(DWS).
2: DLI.
4: MRS.

Path string

The OBS path when data_type is 0(OBS) or the HDFS path when data_type is 4(MRS). All the file in this directory and subdirectories will be which be imported to the dataset.

WithColumnHeader bool

Whether the data contains table header when the type of dataset is 400(Table type).

dataType Double

The type of data source. Valid values are as follows:

0: OBS.
1: GaussDB(DWS).
2: DLI.
4: MRS.

path String

The OBS path when data_type is 0(OBS) or the HDFS path when data_type is 4(MRS). All the file in this directory and subdirectories will be which be imported to the dataset.

withColumnHeader Boolean

Whether the data contains table header when the type of dataset is 400(Table type).

dataType number

The type of data source. Valid values are as follows:

0: OBS.
1: GaussDB(DWS).
2: DLI.
4: MRS.

path string

The OBS path when data_type is 0(OBS) or the HDFS path when data_type is 4(MRS). All the file in this directory and subdirectories will be which be imported to the dataset.

withColumnHeader boolean

Whether the data contains table header when the type of dataset is 400(Table type).

data_type float

The type of data source. Valid values are as follows:

0: OBS.
1: GaussDB(DWS).
2: DLI.
4: MRS.

path str

The OBS path when data_type is 0(OBS) or the HDFS path when data_type is 4(MRS). All the file in this directory and subdirectories will be which be imported to the dataset.

with_column_header bool

Whether the data contains table header when the type of dataset is 400(Table type).

dataType Number

The type of data source. Valid values are as follows:

0: OBS.
1: GaussDB(DWS).
2: DLI.
4: MRS.

path String

The OBS path when data_type is 0(OBS) or the HDFS path when data_type is 4(MRS). All the file in this directory and subdirectories will be which be imported to the dataset.

withColumnHeader Boolean

Whether the data contains table header when the type of dataset is 400(Table type).

GetModelartsDatasetsDatasetLabel

Name string: Specifies the name of datasets.
PropertyColor string: The color of label.
PropertyShape string: The shape of label. Valid values include: bndbox, polygon, circle, line, dashed, point, polyline.
PropertyShortcut string: The shortcut of label.

Name string: Specifies the name of datasets.
PropertyColor string: The color of label.
PropertyShape string: The shape of label. Valid values include: bndbox, polygon, circle, line, dashed, point, polyline.
PropertyShortcut string: The shortcut of label.

name String: Specifies the name of datasets.
propertyColor String: The color of label.
propertyShape String: The shape of label. Valid values include: bndbox, polygon, circle, line, dashed, point, polyline.
propertyShortcut String: The shortcut of label.

name string: Specifies the name of datasets.
propertyColor string: The color of label.
propertyShape string: The shape of label. Valid values include: bndbox, polygon, circle, line, dashed, point, polyline.
propertyShortcut string: The shortcut of label.

name str: Specifies the name of datasets.
property_color str: The color of label.
property_shape str: The shape of label. Valid values include: bndbox, polygon, circle, line, dashed, point, polyline.
property_shortcut str: The shortcut of label.

name String: Specifies the name of datasets.
propertyColor String: The color of label.
propertyShape String: The shape of label. Valid values include: bndbox, polygon, circle, line, dashed, point, polyline.
propertyShortcut String: The shortcut of label.

GetModelartsDatasetsDatasetSchema

Name string

Specifies the name of datasets.

Type string

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

Name string

Specifies the name of datasets.

Type string

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

name String

Specifies the name of datasets.

type String

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

name string

Specifies the name of datasets.

type string

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

name str

Specifies the name of datasets.

type str

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

name String

Specifies the name of datasets.

type String

Specifies the type of datasets. The options are:

0: Image classification, supported formats: .jpg, .png, .jpeg, .bmp.
1: Object detection, supported formats: .jpg, .png, .jpeg, .bmp.
3: Image segmentation, supported formats: .jpg, .png, .jpeg, .bmp.
100: Text classification, supported formats: .txt, .csv.
200: Sound classification, Supported formats: .wav.
400: Table type, supported formats: Carbon type.
600: Video, supported formats: .mp4
900: Free format.

Package Details

Repository: flexibleengine flexibleenginecloud/terraform-provider-flexibleengine
License
Notes: This Pulumi package is based on the flexibleengine Terraform Provider.

flexibleengine 1.46.0 published on Monday, Apr 14, 2025 by flexibleenginecloud

flexibleenginecloud/terraform-provider-flexibleengine

flexibleengine.getModelartsDatasets

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Example Usage

Using getModelartsDatasets

getModelartsDatasets Result

Supporting Types

GetModelartsDatasetsDataset

GetModelartsDatasetsDatasetDataSource

GetModelartsDatasetsDatasetLabel

GetModelartsDatasetsDatasetSchema

Package Details

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