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Explore our expertise in the field of Autonomous Vehicles
Our growing team of SMEs is working with complex use cases under this domain and enhancing the models with our expert data labeling & annotation solutions
Body Movements of a Driver
This involves different phases of human annotation, which consist of recognition of the head & hand action, head direction of a driver while driving a vehicle, alignment of seatbelt while driving a car
Polyline Target Image Annotation
Polyline annotation of the road which is guaranteed to be a freeway; which means that no traffic lights, no zebra crossings, at-least two lanes on each side of the road, no intersections
Pre-Populated Labels for Cars
This project is a review of pre-populated labels for cars, license plates, people, and faces and determine if any changes are needed.
LIDAR (Light Detection and Ranging)
The objective of LIDAR Annotation for self-driving vehicles where LiDAR acts as an eye providing them a 360-degree view. Accurate annotation of the LIDAR captured data is important for the safety of drivers.
