Data Labeling for Autonomous Vehicles

Label high-volume automotive sensor data for ADAS, AVs, and in-cabin AI.

Trusted by 100+ customers

Use Cases for

ML Engineers

LiDAR and camera mislabels reduce model accuracy

Camera-only detection; no sensor alignment

AI Product Managers

Hard to scale quality annotation on tight deadlines

Poor visibility into task progress and delivery

Automotive Startups

Small teams can’t handle large annotation volumes

Edge cases slip through slow or basic QA

Enterprise AV Teams

Need ISO-compliant, secure annotation workflows

Require consistent LiDAR, video, and radar alignment

Discuss your challenges

Data Annotation Use Cases for Automotive AI

2D and 3D Object Detection

2D and 3D Object Detection

Semantic Segmentation

Semantic Segmentation

LiDAR Point Cloud Segmentation

LiDAR Point Cloud Segmentation

Facial Keypoint and Head Pose Annotation

Facial Keypoint and Head Pose Annotation

Driver Emotion and State Detection

Driver Emotion and State Detection

Lane, Pedestrian, and Traffic Sign Detection

Lane, Pedestrian, and Traffic Sign Detection

LiDAR-Camera Sensor Fusion Annotation

LiDAR-Camera Sensor Fusion Annotation

Temporal Tracking Across Video Frames

Temporal Tracking Across Video Frames

2D and 3D object detection for autonomous vehicles

Bounding boxes and cuboids for vehicles, pedestrians, and obstacles.

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semantic segmentation for autonomous vehicles

Pixel-level labeling of lanes, sidewalks, crosswalks, and free space.

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point cloud lidar for autonomous vehicles

Labeling objects and surfaces in 3D LiDAR scans.

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face detection for autonomous vehicles

Detecting gaze direction, attention, and drowsiness for driver monitoring systems.

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driver annotation for autonomous vehicles

Labeling head orientation and emotional states for driver behavior analysis.

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pedestrian annotation for autonomous vehicles

Annotating road boundaries, people, and traffic infrastructure for ADAS.

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lidar-camera sensor for autonomous vehicles

Aligning and labeling multi-sensor (RGB + LiDAR) data for 3D perception.

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Consistent object labeling and tracking across sequential frames.

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2D and 3D Object Detection

2D and 3D Object Detection

2D and 3D object detection for autonomous vehicles

Bounding boxes and cuboids for vehicles, pedestrians, and obstacles.

Pick the service you need

Semantic Segmentation

Semantic Segmentation

semantic segmentation for autonomous vehicles

Pixel-level labeling of lanes, sidewalks, crosswalks, and free space.

Pick the service you need

LiDAR Point Cloud Segmentation

LiDAR Point Cloud Segmentation

point cloud lidar for autonomous vehicles

Labeling objects and surfaces in 3D LiDAR scans.

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Facial Keypoint and Head Pose Annotation

Facial Keypoint and Head Pose Annotation

face detection for autonomous vehicles

Detecting gaze direction, attention, and drowsiness for driver monitoring systems.

Pick the service you need

Driver Emotion and State Detection

Driver Emotion and State Detection

driver annotation for autonomous vehicles

Labeling head orientation and emotional states for driver behavior analysis.

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Lane, Pedestrian, and Traffic Sign Detection

Lane, Pedestrian, and Traffic Sign Detection

pedestrian annotation for autonomous vehicles

Annotating road boundaries, people, and traffic infrastructure for ADAS.

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LiDAR-Camera Sensor Fusion Annotation

LiDAR-Camera Sensor Fusion Annotation

lidar-camera sensor for autonomous vehicles

Aligning and labeling multi-sensor (RGB + LiDAR) data for 3D perception.

Pick the service you need

Temporal Tracking Across Video Frames

Temporal Tracking Across Video Frames

Consistent object labeling and tracking across sequential frames.

Pick the service you need

How It Works

Step 1

Free Pilot

Submit your sample data and we’ll annotate it with no obligation on your side.

Step 2

QA

We review accuracy, edge-case detection, and sensor consistency.

Step 3

Proposal

You receive a tailored plan with scope, timelines, and transparent pricing.

Step 4

Start Annotation

Our team labels your datasets using multistep QA workflows.

Step 5

Delivery

Get export-ready data in your required format.

Calculate Your Cost
Estimates

1 Pick application field

2 Select labeling method

3 Specify how many objects to label

4 Check the approximate total cost

5 Run free pilot

Pick Application Field

Select Labeling Method

Keypoints

Rectangles

Polygons

Cuboids

Amount

0 1M

Estimated Cost

$ x objects

$

Select Labeling Method

Entities to label

Characters in a dataset

Annotation hours

Amount

0 1M

Estimated Cost

$ x entities

$

For other use cases

send us your request to receive a custom calculation

Send your sample data to get the precise cost FREE

Reviews

What Our Clients Say

Clutch

Clutch

ClutG2 Crowdch

ClutG2 Crowdch

"We were impressed by the labeled data quality as well."

Label Your Data makes significant progress toward the goal of enhancing the client’s algorithm performance. The team works quickly to deliver annotations and annotators with extensive experience in the field. Their project management is straightforward, making for a smooth engagement.

Roman Lutsyshyn

Roman Lutsyshyn

CEO, NLP Development Company

"They’re willing to drop everything to fulfill our needs and keep us happy."

Demonstrating a profound dedication to the project, Label Your Data consistently provides near-perfect deliverables at a cost-effective price. Thanks to their help, the client has been able to be more flexible with their work. Their impressive turnaround time further enhances the solid partnership.

Jack Hopkins

CTO, Raveler Ltd

"Their flexibility and ability to work with multiple languages are impressive."

Label Your Data continues to work diligently for the client. They consistently provide training data for different document types and languages. Furthermore, they are excellent communicators and collaborators, and their ability to serve high-quality services is outstanding.

Luca van Skyhawk

Luca van Skyhawk

VP of Customer Success, Hypatos GmbH

“I’m impressed with how easy our communication with the team is and how simple and effective the processes are."

Label Your Data’s support has been crucial in developing the client’s computer vision perception algorithms. They lead a simple and effective collaboration by responding quickly to concerns and questions and delivering everything on time.

Piotr Swierczynski

Piotr Swierczynski

Director of Engineering, NODAR

"The Label Your Data team was always available for questions."

Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client’s portfolio. The team was consistently available for questions or updates that needed to be added to the data set. The client was impressed with the team’s communication skills.

Josha Bharadwa

Software Architect, Searidge Technologies

"They are flexible, dedicated, and their processes are well organized."

Label Your Data sends out weekly data annotation for the client to review. So far, the platform hasn’t had any issues and they are focusing on enhancing the platform since it was launched in November 2020. Their expertise shows productive results as the project progresses.

Asad Lesani

CEO, Blue City Technology

Why Projects Choose Label Your Data

No Need to Commit

Check our performance based on a free trial

Flexible Pricing

Pay per labeled object or per labeling hour

Tool-Agnostic

Working with every labeling tool, even your custom tools

Data Compliance

Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA

Start Free Pilot

fill up this form to send your pilot request

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Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

FAQs

What is annotation in automotive?

Annotation in automotive AI teaches models to detect objects, lane markings, pedestrians, and driver behavior by labeling sensor data like LiDAR, camera, and radar. Expert annotation service providers like Label Your Data deliver high-accuracy annotations to help automotive teams train safer, smarter models.

What types of data do you annotate for automotive AI?

We annotate various data types including LiDAR, camera, radar, IMU, and support multi-sensor fusion to provide comprehensive datasets for your models.

What challenges should you consider in autonomous vehicle data collection?

Autonomous vehicle data collection must capture a wide range of environments, weather conditions, and edge cases, while ensuring sensor synchronization across LiDAR, camera, and radar. We at Label Your Data support this process by offering both data collection and annotation services, helping you build high-quality datasets and scale training faster.

Can you support sensor fusion annotations?

Yes, we specialize in sensor fusion annotations, ensuring accurate alignment across LiDAR, RGB camera, and radar data, with temporal consistency across frames.

What to look for when choosing data annotation services for autonomous vehicles?

Look for services experienced with LiDAR, camera, radar, and sensor fusion annotation, strong QA workflows, ISO 27001 certification, and success in AV and ADAS projects. Label Your Data meets these standards and offers a free pilot to validate quality before scaling.