Synthetic Datasets for ADAS and Autonomous Driving

automotive training and validation data

Give Your Training Data An Edge

Find Your Perfect ML Dataset Solution

Today’s perception algorithms have made the advancement of AI
for automated driving a race for training data

Cognata synthetic data provides the quality enrichment needed
to thoroughly train modern deep neural networks (DNN)

Accuracy & Realism

Industry-leading realism with pixel-perfect annotated training data

Diversity

Diverse weather, lighting, surface, and object variation across global scenes

Scale

Cloud architecture for quick and cost-effective creation and delivery

Realistic Environments From Around The World

Photorealistic synthetic drivable conditions
Variable weather
Challenging lighting
Varied surfaces and degradation
Varied markings, unmarked roads and gore areas

Realistic environments

Enriched To Your Needs

Traffic signs and traffic lights from around the world
Large catalog of props and infrastructure assets
Rich libraries of vehicles, pedestrians, and cyclists

Enriched to your needs

Viewed From Any Sensor, Anywhere

Flexible placement and configuration
Easy comparison of sensor suites
Camera datasets including wide-angle and fisheye for automated parking systems perception training
Customized LiDAR datasets per different LiDAR manufacturers including scanning pattern customization and materials reflectivity
Customized Radar datasets including noise models
Deep learning based synthetic training data

Delivered With Perfect Ground Truth

Automatically-generated accurate annotations
2D & 3D bounding boxes with attributes and classification for object that an autonomous system might encounter
Pixel-perfect semantic and instance segmentation datasets
Depth datasets
Comprehensive scene and object attributes

perfect ground truth

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