Automotive
Top AI Use cases in Automotive Industry
Partial or Fully Autonomous Vehicles
Train your self-driving models with a wide range of road datasets that help improve learning models' reasoning power and causal understanding. With our annotations increase your learning model's accuracy.
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Manufacturing Equipment
Revolutionize the way of manufacturing vehicles by using AI-powered robots to build custom cars and also minimize human need in assembling parts.
Vehicle Design and Testing
Save the time and cost of designing vehicles by computer modelling. Test vehicles before building a physical model by training them in a simulation with realistic scenarios.
Annotation in Automotive

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Semantic Segmentation

Lines and Splines
Benefits
Improve User Experience
Ensure safe driving with a reduction of malfunction in vehicles. Driverless cars to reduce road accidents due to human errors.
Enhance Manufacturing and Maintenance
Minimize the time of manufacturing along with saving the cost of production. Prediction of malfunction helps in the maintenance of vehicles.
Faster Innovation Cycles
With computer vision, original equipment manufacturers can create safer and innovative vehicles with faster production helping them in the long run.