AUTOMOTIVE
The role of AI in the Automotive Industry has become crucial in the present and will be inevitable in the future. ML Data Ocean has a collection of a variety of datasets in large amounts that will help you become a part of the advanced future.
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.
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.
Quality Control
Do not compromise with your brand standards. Use Computer vision to identify defects in the parts and operations to meet your quality standards.
Annotation in Automotive
3D Cuboids
Polygon
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.