Autonomous Vehicles

Powering self-driving innovations with high-quality labeled data — enabling safer navigation and faster model deployment.

3D Cuboid Annotation

Label objects with depth, width, and length to capture real-world dimensions and power high-precision AI and computer vision models.

Polygon Annotation

Capture complex object shapes with precise polygon boundaries, ensuring top-quality segmentation and reliable object detection.

Pixel-Perfect Semantic Segmentation

Deliver crystal-clear object labeling at the pixel level. From cars to pedestrians and road markings, achieve accurate scene understanding for intelligent AI applications.

Polyline Annotation for Computer Vision Models

Label lanes, sidewalks, and wires with polyline annotation to deliver high-accuracy training data for computer vision and autonomous detection systems.

Smart Video Object Tracking

Accurately label objects across video sequences to train AI in detecting, tracking, and understanding real-time movement with unmatched precision.

AI-Powered Traffic Sign Detection

Train AI models to accurately detect, read, and respond to street signs with precise traffic sign annotation—boosting road safety and smarter on-road decision-making.

Learning Spiral AI for Autonomous Vehicles

Learning Spiral AI delivers precise, scalable, and high-quality labeled datasets that drive autonomous driving systems.

From object detection and lane tracking to traffic sign recognition and pedestrian safety, our human-in-the-loop annotation with robust QA accelerates the development of safer, smarter self-driving technologies.