Data Management Overview

In ModelArts, you can import and label data on the Data Management page to prepare for model building. ModelArts uses datasets as the basis for model development or training.

Dataset Types

ModelArts supports datasets of images, audio, text, tables, videos, and other types for the following purposes:

  • Images
    • Image classification: identifies a class of objects in images.
    • Object detection: identifies the position and class of each object in an image.
  • Audio
    • Sound classification: classifies and identifies different sounds.
    • Speech labeling: labels speech content.
    • Speech paragraph labeling: segments and labels speech content.
  • Text
    • Text classification: assigns labels to text according to its content.
    • Named entity recognition: assigns labels to named entities in text, such as time and locations.
    • Text triplet: assigns labels to entity segments and entity relationships in the text.
  • Tables
    • Table: applies to structured data processing such as tables. The file format can be CSV or Carbon. You can preview a maximum of 100 records in a table.
  • Videos
    • Video labeling: identifies the position and class of each object in a video. Currently, only the MP4 format is supported.
  • Others
    • Free format: manages data in any format. Currently, labeling is not available for data of the free format type. The free format type is applicable to scenarios where labeling is not required or developers customize labeling. If your dataset needs to contain data in multiple formats or your data format does not meet the requirements of other types of datasets, you can select a dataset in free format.
      Figure 1 Example of a dataset in free format

Dataset Management Process and Functions

Figure 2 Labeling management process
Table 1 Function description

Function

Description

Creating a Dataset

Create a dataset.

Image Classification

Object Detection

Text Classification

Named Entity Recognition

Text Triplet

Sound Classification

Speech Labeling

Speech Paragraph Labeling

Video Labeling

Label data based on the types of datasets. Data labeling is not supported for datasets in free format or table format.

Import Operation

Import the local manifest file or data stored in OBS to the dataset.

Exporting Data

Export part of the data as a new dataset or to OBS. Historical tasks can be viewed and managed.

Modifying a Dataset

Modify the basic information about a dataset, such as the dataset name, description, and labels.

Publishing a Dataset

Publish the labeled dataset as a new version for model building.

Managing Dataset Versions

View data version updates.

Auto Labeling

quickly label unlabeled data, reducing labeling time by 70%

Auto Grouping

Enable auto grouping to improve data labeling efficiency.

Data Features

Analyze data features to help you understand data.

Deploying a Model in One Click

Use the one-click model deployment function to train a model with the labeled dataset, import the model, and deploy the model as a real-time service all in one step.

Team Labeling Overview

Allow multiple users to label the same dataset and enable the dataset creator to manage labeling tasks in a unified manner. Add a team and its members to participate in labeling datasets.

Data Processing

To ensure data quality and avoid negative impact on subsequent operations (such as data labeling and model training), the data needs to be processed. Common data processing types include data validation, data cleansing, data selection, and data augmentation.

Deleting a Dataset

Delete a dataset to release resources.

Functions Supported by Different Types of Datasets

Different types of datasets provide different functions. For details, see Table 2.

Table 2 Functions supported by different types of datasets

Dataset Type

Creating a Dataset

Importing Data

Exporting Data

Publishing a Dataset

Modifying a Dataset

Managing Dataset Versions

Auto Labeling

Team Labeling

Auto Grouping

Data Features

Deploying a Model in One Click

Image classification

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Object detection

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Supported

Sound classification

Supported

Supported

-

Supported

Supported

Supported

-

-

-

-

-

Speech labeling

Supported

Supported

-

Supported

Supported

Supported

-

-

-

-

-

Speech paragraph labeling

Supported

Supported

-

Supported

Supported

Supported

-

-

-

-

-

Text classification

Supported

Supported

-

Supported

Supported

Supported

-

Supported

-

-

-

Named entity recognition

Supported

Supported

-

Supported

Supported

Supported

-

Supported

-

-

-

Text triplet

Supported

Supported

-

Supported

Supported

Supported

-

Supported

-

-

-

Table

Supported

Supported

-

Supported

Supported

Supported

-

-

-

-

-

Video

Supported

Supported

-

Supported

Supported

Supported

-

-

-

-

-

Free format

Supported

-

Supported

Supported

Supported

Supported

-

-

-

-

-