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    LiDAR annotation & labelling service for Autonomous Vehicles

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    Sold by: PIXTA AI 
    Deployed on AWS
    High quality LiDAR Annotation services for Autonomous Vehicles projects at any scale. Pixta AI strengthens Computer Vision for enabling autonomous vehicles' perception. With a team of visual data processing experts with strong AI know-hows on autonomy levels, our annotation service supports LiDAR technology at scale in any project requirements.

    Overview

    Overview

    Pixta AI strengthens Computer Vision for enabling autonomous vehicles' perception. With a team of visual data processing experts with strong AI know-hows on autonomy levels, our annotation service supports LiDAR technology at scale in any project requirements.

    Supported types

    • Sensor fusion
    • Semantic segmentation
    • 3D cuboid & bounding box
    • 3D point cloud
    • Landmark
    • Polygon
    • Polyline
    • ...

    Our competitive advantages

    1. Top notch quality assurance
    2. Scalability
    3. Affordable pricing
    4. Dedicated project managers
    5. Client oriented
    6. Strong AI & Computer Vision expertise

    Visit us at https://www.pixta.ai/  or contact via our email contact@pixta.ai  for further discussion.

    Details

    Sold by

    Delivery method

    Deployed on AWS
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    Pricing

    LiDAR annotation & labelling service for Autonomous Vehicles

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    Not applicable - product available free of charge.

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    Delivery details

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    Additional details

    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    LiDAR annotation & labelling service for Autonomous Vehicles
    All historical revisions
    All future revisions
    Not included
    Not included

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