
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
- Top notch quality assurance
- Scalability
- Affordable pricing
- Dedicated project managers
- Client oriented
- Strong AI & Computer Vision expertise
Visit us at https://www.pixta.ai/ or contact via our email contact@pixta.ai for further discussion.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
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 |
Resources
Vendor resources
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The goal of the USGS 3D Elevation Program (3DEP) is to collect elevation data in the form of light detection and ranging (LiDAR) data over the conterminous United States, Hawaii, and the U.S. territories, with data acquired over an 8-year period. This dataset provides two realizations of the 3DEP point cloud data. The first resource is a public access organization provided in Entwine Point Tiles format, which a lossless, full-density, streamable octree based on LASzip (LAZ) encoding. The second resource is a Requester Pays of the original, Raw LAZ (Compressed LAS) 1.4 3DEP format, and more complete in coverage, as sources with incomplete or missing CRS, will not have an ETP tile generated. Resource names in both buckets correspond to the USGS project names.

LiDAR point cloud data for Washington, DC is available for anyone to use on Amazon S3.
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