Data Analysis and Preview

Generally, the quality of raw data cannot meet training requirements, for example, invalid or duplicate data exists. To help you improve data quality, ModelArts provides the following capabilities:

• Data Filtering: enables you to filter data based on sample attributes and auto grouping results.
• Data Feature Analysis: analyzes data features or labeling results, such as the brightness and bounding box distribution, helping you analyze data balance and improve the model training effect.

• Data Filtering
  
• Data Feature Analysis