High quality training and test data are essential for the development of algorithms and functions for various automotive and industrial applications.
C.LABEL is an easy-to-use, flexible and extensible software for the efficient annotation, quality control and correction of automotive data. These data can then be used for the development of autonomous driving algorithms and functions, as well as the testing and validation thereof.
With C.LABEL, we provide a semi-automated solution for the annotation of camera, LIDAR and RADAR data, as well as the possibility to combine different sensor data to improve accuracy.
Additional key features:
Semi-automated features for efficient annotation:
The user interface of C.LABEL is designed to minimize the effort of the user by providing special features and enabling a flexible configuration depending on individual needs.
Multi-view and tabbing
The multi-view and tabbing functionality allows the user to visualize several data streams simultaneously as well as to drag them freely into the tool frame or view on additional monitors.
Bounding Box Annotation
Semantic segmentation Annotation
Point Cloud Annotation
Your competitive advantage is that C.LABEL can be customized by our experienced engineers according to your requests.
We can help you with the clarification of label specifications and project requirements, so that your ground truth data suits your needs.
We provide you with additional cost-effective solutions for large labeling projects encompassing project management, data management, workforce and much more.
Check out our page Turn-key Labeling Solutions for Automotive Data and learn more about how we can support you.