Introduction to Data Management

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, 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.

  • Image segmentation: identifies the outline 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.

• Videos

  • Video labeling: identifies the position and class of each object in a video. Only the MP4 format is supported.

• Others

  • Free format: manages data in any format. 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

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.
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.
Deleting a Dataset	Delete a dataset to release resources.

Functions Supported by Different Types of Datasets

Different types of datasets support 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
Image classification	Supported	Supported	Supported	Supported	Supported	Supported
Object detection	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
Named entity recognition	Supported	Supported	-	Supported	Supported	Supported
Text triplet	Supported	Supported	-	Supported	Supported	Supported
Video labeling	Supported	Supported	Supported	Supported	Supported	Supported
Free format	Supported	-	Supported	Supported	Supported	Supported

last updated: 2024-05-18 01:55