Empowering Automotive AI with High-Precision Data Annotation

At Annotaid, we specialize in data annotation services for the automotive industry, supporting the development of cutting-edge autonomous vehicles, driver-assist systems, and smart mobility solutions. From LiDAR and sensor data to dashcam video and real-time object tracking, we provide accurate, scalable labeling that fuels next-gen automotive AI. Whether you’re building ADAS systems, training perception models, or powering smart logistics—our annotations are built for the road ahead.

Why Annotaid?

Automotive-Trained Annotators

Experts familiar with road environments, vehicle types, traffic elements, and driving behavior annotation.

Multi-Sensor Data Support

Capability to label image, video, LiDAR, radar, and sensor fusion datasets with synchronized precision.

Pixel-Perfect Object Recognition

High-resolution labeling for vehicles, pedestrians, road signs, lane markings, and dynamic objects.

Global Compliance & Data Security

Adheres to ISO 27001, GDPR, and regional data handling norms to protect proprietary driving data.

Types of Annotation for Automotive

We offer end-to-end annotation solutions tailored to a wide range of healthcare applications:

Image & Video Annotation for Perception Models

Bounding boxes, polygons, and semantic segmentation to label cars, cyclists, lane boundaries, traffic signs, and road types for ADAS and autonomous navigation.

LiDAR & 3D Point Cloud Annotation

3D cuboids, point segmentation, and trajectory mapping to help AI understand object depth, distance, and positioning from LiDAR data.

Sensor Fusion Labeling

Synchronizing visual and spatial data from multiple sources (camera + LiDAR + radar) for a holistic understanding of driving environments.

Event-Based Video Annotation

Frame-by-frame annotation of driving scenarios like lane change, sudden stops, overtakes, and traffic rule violations to train decision-making algorithms.