Aya Data – Domain specific data annotation services for major dataset types and industries Reliable AI data collection services to train machine learning models AI consulting experts in designing and deploying tailored AI solutions for businesses

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3D Point Cloud Annotation

Enhance your 3D models with our expert LiDAR and point cloud annotation services for precise object recognition.

Looking for reliable 3D LiDAR Annotation or other 3D Point Cloud Annotation Services across the UK, US, Europe and Africa? Aya Data partners with you to deliver precise annotations, accelerating AI and machine learning success. Achieve your AI goals with us!

What is 3D Point Cloud Annotation?

3D point cloud annotation is the process of labeling objects, environments or scenes within a 3D dataset to train AI models. Point clouds, captured by sensors like LiDAR (Light Detection and Ranging), represent data points in 3D space and are vital for applications like autonomous vehicles and robotics. Our team at Aya Data specializes in precise 3D point cloud and LiDAR annotation, labeling objects and scenes to create high quality datasets. Our expertise helps AI systems interpret real world environments with accuracy, powering innovations in automation and smart technologies.

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WHY CHOOSE AYA DATA

3D Annotation Services

We deliver high-quality 3D point cloud annotation for LiDAR, RADAR and other 3D data to improve accuracy of automated object detection and recognition systems.

1. 3D Bounding Boxes 2. 3D Polygon Annotation 3. 3D Image Segmentation 4. LiDAR Annotation
3D Annotation_bounding box

3D Bounding Boxes

3D bounding boxes encapsulate objects in 3D space, providing position, orientation, and dimensions. Our team precisely places these boxes around objects, crucial for tasks like autonomous driving.

Aya Data's expert team accelerates and supports your ML journey by extracting real-time data from videos and images for your computer vision project. Contact Us Today!
3D polygon

3D Polygon Annotation

3D polygon annotation creates detailed outlines of objects in three-dimensional space. We trace complex shapes, ideal for applications requiring fine-grained object segmentation.

Aya Data's expert team accelerates and supports your ML journey by extracting real-time data from videos and images for your computer vision project. Contact Us Today!
3D image segmentation

3D Image Segmentation

 3D semantic segmentation assigns class labels to individual points or voxels in a 3D scene. Our annotators carefully categorise each element, enabling AI to understand complex 3D environments.

Aya Data's expert team accelerates and supports your ML journey by extracting real-time data from videos and images for your computer vision project. Contact Us Today!
3D_LiDAR

LiDAR Annotation

LiDAR annotation involves labeling 3D data from LiDAR sensors or scans to identify objects like vehicles, pedestrians, buildings, and terrain. Our experts segment and classify point clouds, enabling accurate object recognition for applications in autonomous driving, robotics, and geospatial analysis.

Aya Data's expert team accelerates and supports your ML journey by extracting real-time data from videos and images for your computer vision project. Contact Us Today!

Industries We Serve

We provide high-quality data annotation services across a range of industries and use cases.

Agriculture

We help farmers and agribusinesses harness AI to optimize crop yields, reduce waste, and make informed decisions.

Healthcare

We offer expert medical imaging and clinical data annotation for advanced healthcare AI applications.

Robotics

We offer precision robotic data annotation for advanced movement training, from delicate object handling to specialized tasks.
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Agribusiness
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Advanced Manufacturing
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Automotive & Mobility
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Financial Services
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Healthcare & Life Sciences
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Energy & Natural Resources
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Media & Entertainment
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Telecommunications
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Social & Public Sector
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Technology
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3D ANNOTATION

Use Cases

Explore how AI-driven 3D annotation enhances robotics, autonomous vehicles, and AR by enabling precise object detection, spatial mapping, and improved environment understanding for smarter automation.

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Our Featured Projects

Selected Case Studies

We help businesses of all sizes effectively navigate their AI journey.

Testimonials

What Our Clients Say About Us

The Aya Advantage
1/ Exceptional Customer Experience
2/ Unwavering Quality
3/ Unparalleled Subject Matter Expertise

Exceptional Customer Experience

  • Tight communication feedback loop
  • Transparent pricing, no hidden fees
  • Domain-specific project management teams
  • Flexible engagement models
  • Ongoing support and consultation
  • Unwavering Quality

  • Custom quality control methodology
  • Innovative solutions for complex challenges
  • ISO 9001, HIPAA, GDPR, SOC2 compliant
  • Swift issue resolution processes
  • Scalable, reliable service delivery
  • Unparalleled Subject Matter Expertise

  • Large team of domain-specific data specialists
  • Experienced data scientists and engineers
  • Broad network of expert partners
  • Multilingual and multicultural competencies
  • Proven track record of success
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    Featured News and Insights

    Enjoy featured articles and insights from our experts.

    To know more about us

    Frequently Asked Questions

    What are 3D annotation services?
    3D annotation services involve labeling 3D data like point clouds, LiDAR or CAD models. It is used for applications such as autonomous driving, robotics and augmented reality.
    Why is 3D annotation important for autonomous vehicles?
    3D annotation helps self-driving cars understand their environment by labeling objects like pedestrians, vehicles and road signs in 3D space, ensuring accurate navigation and safety.
    What tools are used for 3D annotation?
    Tools like 3D BAT, Annotate.io, and Supervisely support 3D annotation for LiDAR, point clouds and 3D models, offering precision and scalability.
    What is 3D LiDAR annotation?
    3D LiDAR annotation involves labeling 3D point cloud data from LiDAR sensors, used in autonomous vehicles and robotics for object detection and environment mapping.
    What is photogrammetry and LiDAR?
    Photogrammetry uses photographs to create 3D models. LiDAR uses laser light to create 3D maps. Combining these technologies produces highly detailed and accurate 3D geospatial data.
    What is LiDAR best used for?
    LiDAR is best used for :
    A. Mapping terrain and vegetation for environmental monitoring.

    B. Autonomous vehicle navigation and obstacle avoidance.

    C. Urban planning and infrastructure development.

    D. Archaeology, to uncover hidden structures beneath the ground or vegetation.

    E. Forestry to estimate biomass and tree heights.
    How do you ensure accuracy in 3D annotation?
    Accuracy is ensured through skilled annotators, advanced tools and multi-stage quality checks to validate spatial and contextual precision.
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    Simplify Your AI Development Today!

    Do you need help with Data Acquisition, Data Annotation or building a custom AI model? Aya Data is ready to partner with you. Talk to us today!

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    Contact With Us!

    2220 Plymouth Rd #302, Hopkins, Minnesota(MN), 55305

    Call us: (234) 109-6666

    Mon – Sat: 8.00am – 18.00pm / Holiday : Closed