The auto industry is undergoing a radical shift - thanks to AI and machine learning innovations happening around the automobile industry. However, AI systems have a hard time understanding the surroundings, especially in urban environments with high traffic and complex sensor data. By allowing cars to develop a well-trained sense of surroundings augmented by artificial intelligence & autonomous vehicle annotation, cars’ computer vision systems will be able to distinguish between streets, sidewalks, and the sky.
The data supporting assisted & autonomous driving needs to be labeled with many variables and attributes before deploying it in self-driving vehicles’ computer vision. It's all a matter of time, cost, and access to image annotation techniques for developing computer vision systems for autonomous driving and approachable professional resources who can get a handle on every data-centric process from video labeling for autonomous cars to image annotation for autonomous vehicles.
Cogito has attained expertise in 6 major techniques for data annotation & video labeling for autonomous vehicles. The following image illustration gives a glimpse of these 6 principal image & video annotation types Cogito boasts expertise in:
Dimension Detection with 3D Cuboid
Bounding Box for Object Detection
3D Point Cloud for LiDARs Sensing
Annotation for Driver Monitoring in ADAS
Classify Objects Semantic Segmentation
Polyline Annotation for Lane Detection
With a decade-long exposure to annotation and data labeling for autonomous driving, Cogito can be your backbone for Automation Engine. The in-house team of annotators and labelers can develop the right set of appropriately annotated and labeled data to be employed in cars’ computer vision systems for precise objects and attributes detection in the surrounding.
Cogito's expertise in data annotation and video labeling for autonomous vehicles makes it possible for companies in the automotive industry to leverage machine learning and artificial intelligence for developing functional computer vision systems for automated automobile manufacturing assembly lines and self-driving vehicles.
Our team has become familiar with fast-paced modern practices to speed up vehicle production faster with robotics. Besides supporting robotics for the automotive industry, we have wide-ranging autonomous vehicle annotation and data labeling solutions for developing accurate computer vision systems for self-driving cars — all with a promise of timely delivery and reasonable pricing.