Annotation tools are crucial in the HyperSpec Road Mentor Dashboard as they allow users to label and annotate various aspects of road scenes and objects, which is essential for training and improving the accuracy of machine learning algorithms used for autonomous driving.
Some common annotation tools used in the HyperSpec Road Mentor Dashboard include:
Bounding boxes: This tool is used to draw rectangular boxes around objects of interest in the road scene. This is useful for identifying the location and size of objects such as vehicles, pedestrians, and traffic signs.
Image segmentation: This tool is used to divide the road scene into segments, with each segment representing a different object or area of interest. This is useful for identifying and labeling objects such as road markings, lanes, and sidewalks.
Camera calibration: This tool is used to adjust the camera settings and parameters to ensure accurate and consistent image capture. This is important for obtaining high-quality images for annotation and training.
Lidar image calibration: This tool is used to adjust the Lidar sensor settings and parameters to ensure accurate and consistent point cloud capture. This is important for obtaining high-quality Lidar images for annotation and training.
Overall, these annotation tools help to streamline the annotation process and improve the accuracy of machine learning models used for autonomous driving.
How to open Annotation Tools:
To open the Annotation tool, the user must first log in to the Roadmentor dashboard. Once logged in, the user should navigate to the trip database within the dashboard. In the trip database, the user can select the specific trip that they want to work with. Once the trip is selected, the user will see 6 tool options, Annotation tool is one of them.
Once the user opens the annotation tool, user can see all the tools there and can switch the tool from the dropdown.