Artificial Intelligence drives intelligent cars

The number of autonomous cars and algorithms being tested on the road increases yearly. Accurate perception of driving environment requires an enormous amount of data to be captured and carefully annotated.

AI learns to recognize the surroundings, detecting vehicles and objects, roads, lanes, road signs, traffic lights and other potential real-time hazards. Deep neural network algorithms enable autonomous cars to drive better than human-driven cars, achieving safer and more effective transportation.

Keymakr specializes in image and video data annotation for automotive industry. That includes:

• 3D cuboid annotation for dimension detection
• Semantic segmentation for object classification
• Polyline annotation for lane detection
• Bounding boxes for object detection
• Polygon for irregular shapes detection
• Image and video labeling for vehicle type detection

Best performing AI starts with accurately annotated data. We offer training visuals for self-driving cars, as well as custom image annotation solutions for autonomous vehicles and other AI-backed transportation systems

A fully-functioning and safe autonomous vehicle must be competent in a wide range of machine learning processes before it can be trusted to drive on its own. From processing visual data in real time to safely coordinating with other vehicles via IoT, the need for AI is essential. Self-driving cars could not do any of this without a huge volume of different types of training data, created and tagged for specific purposes.

We believe that truly safe roadworthy intelligent cars will hit the market in the nearest future. And we mastered the creation of training data for self-driving cars

Now even those who prefer to be in control of a vehicle or just love to drive and are not yet ready to give up the steering wheel, would still appreciate some non-intrusionary level of assistance. Most car manufacturers these days offer lane assist and adaptive (dynamic) cruise control bound to become default features soon enough. Mitigating driver error and giving distance warning and helping to stay in lane could save numerous lives.