aiData is designed to streamline the data pipeline for developing models for Advanced Driver-Assistance Systems and Automated Driving solutions. This automated system provides a comprehensive method of managing and processing data, from collection through curation, annotation, and validation. It significantly reduces the time required for data processing by automating many labor-intensive tasks, enabling teams to focus more on development rather than data preparation. The aiData platform includes sophisticated tools for recording, managing, and annotating data, ensuring accuracy and traceability through all stages of the MLOps workflow. It supports the creation of high-quality training datasets, essential for developing reliable and effective AI models.
The platform's capabilities extend beyond basic data processing by offering advanced features such as versioning and metrics analysis, allowing users to track data changes over time and evaluate dataset quality before training. The aiData Recorder feature ensures high-quality data collection tailored to diverse sensor configurations, while the Auto Annotator quickly processes data for a variety of objects using AI algorithms, delivering superior precision levels. These features are complemented by aiData Metrics, which provide valuable insights into dataset completeness and adequacy in covering expected operational domains.
With seamless on-premise or cloud deployment options, aiData empowers global automotive teams to collaborate efficiently, offering all necessary tools for a complete data management lifecycle. Its integration versatility supports a wide array of applications, helping improve the speed and effectiveness of deploying ADAS models.
