Data Annotations & Lidar Services
LiDAR Annotations
LiDAR follows a simple principle — throw laser light at an object on the earth surface and calculate the time it takes to return to the LiDAR source.
3D Semantic Segmentation
3D Semantic Segmentation is a computer vision task that involves dividing a 3D point cloud or 3D mesh into semantically meaningful parts or regions.
The goal of 3D semantic segmentation is to identify and label different objects and parts within a 3D scene, which can be used for applications such as robotics, autonomous driving, and augmented reality.
Lane detection
Lane Detection is a computer vision task that involves identifying the boundaries of driving lanes in a video or image of a road scene.
The goal is to accurately locate and track the lane markings in real-time, even in challenging conditions such as poor lighting, glare, or complex road layouts.
Image and Video Annotation
In Video annotation, the objects are annotated with a bounding box or cuboid annotation making the object of interest visible to machines. The moving objects are annotated with the right annotation technique use in such data labeling.
Image annotation is the most important training data used in making all types of objects recognizable to AI-based perception models like self-driving cars, etc
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