Data Composition Analysis
Data Composition Analysis (DCA) is a technique designed to classify sensor data into various contexts such as air particle condition, sky condition, road condition, dynamic objects, scenes, and more. DCA can be paired with visualization tools for data querying and exploration. DCA also generates vital statistical information for each context, enabling users to pinpoint areas where data is either abundant or lacking.
Leveraging Synthetic Data
Synthetic data can be a valuable supplement when DCA identifies contexts with insufficient data. enGrasp AI helps to generate synthetic data that also comes with pixel-accurate annotations.
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