Annotation
Autonomous Vehicles

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AI annotation for self-driving cars

Complete annotation solutions for autonomous vehicle perception: LiDAR, camera, radar, and sensor fusion data labeling. Power your AV models with precision-labeled training data.

TRUSTED BY LEADING AV COMPANIES

Annotation Services

Complete AV annotation solutions

Specialized labeling services for every type of autonomous vehicle sensor data

Image Annotation

3D cuboid annotation for LiDAR point clouds. Label vehicles, pedestrians, and objects in 3D space with precise depth perception.

Image Annotation

3D cuboid annotation for LiDAR point clouds. Label vehicles, pedestrians, and objects in 3D space with precise depth perception.

Image Annotation

3D cuboid annotation for LiDAR point clouds. Label vehicles, pedestrians, and objects in 3D space with precise depth perception.

Image Annotation

3D cuboid annotation for LiDAR point clouds. Label vehicles, pedestrians, and objects in 3D space with precise depth perception.

Image Annotation

3D cuboid annotation for LiDAR point clouds. Label vehicles, pedestrians, and objects in 3D space with precise depth perception.

Image Annotation

3D cuboid annotation for LiDAR point clouds. Label vehicles, pedestrians, and objects in 3D space with precise depth perception.

Our Process

How AV annotation works

A streamlined workflow built specifically for autonomous vehicle data pipelines

STEP 1

Upload Sensor Data

Securely upload LiDAR, camera, and radar data through our AV-optimized platform

STEP 1

Upload Sensor Data

Securely upload LiDAR, camera, and radar data through our AV-optimized platform

STEP 1

Upload Sensor Data

Securely upload LiDAR, camera, and radar data through our AV-optimized platform

STEP 1

Upload Sensor Data

Securely upload LiDAR, camera, and radar data through our AV-optimized platform

Trusted by leading AV companies

Industry-leading accuracy for autonomous driving datasets

10M+

LiDAR frames annotated

99.8%

LiDAR frames annotated

48hrs

LiDAR frames annotated

50+

LiDAR frames annotated

Use Cases

AV annotation use cases

Supporting every aspect of autonomous vehicle development

Automotive

Autonomous vehicles & ADAS systems

Automotive

Autonomous vehicles & ADAS systems

Automotive

Autonomous vehicles & ADAS systems

Automotive

Autonomous vehicles & ADAS systems

Ready to power your AV models?

Get started with professional autonomous vehicle annotation services. Fast delivery, enterprise security, and guaranteed accuracy.

Autonomous Vehicle Annotation FAQs

Common questions about our AV annotation services

Yes, Annotation has a scalable workforce of 5,000+ expert annotators ready to handle projects of any size. Whether you need 100 or 100,000 annotations, we can scale instantly to meet your deadlines without compromising quality.

Our annotators are trained to work seamlessly as an extension of your team. With white-label solutions and your custom workflows, the experience is completely branded to your company. Your data stays secure and the quality remains consistent with your standards.

We can typically onboard new clients and start annotation work within 3-5 business days. For urgent projects, we offer expedited onboarding that can get your project running in as little as 24-48 hours.

Absolutely. Our platform provides real-time dashboards with quality metrics, progress tracking, and performance analytics. You’ll have full visibility into annotation accuracy, turnaround times, and team productivity at all times.

Nearshore refers to outsourcing to neighboring countries with similar time zones, onshore means working with teams in your same country, and offshore involves teams in distant time zones. We offer all three models to match your budget, timeline, and collaboration preferences.

The best model depends on your specific needs. Nearshore offers time zone alignment and cultural similarity, offshore provides cost savings, and onshore ensures maximum control. Our team can help you evaluate your requirements and recommend the optimal approach.

We handle all types of data annotation tasks including image labeling (bounding boxes, segmentation, keypoints), video annotation, text classification, audio transcription, 3D point cloud labeling, and custom annotation workflows tailored to your specific AI models.