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.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
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.
Dimensions summary
This listing has one pricing dimension: Product Access, measured in units. It is offered free, so subscribing grants access without a charge tied to the unit. There are no tiers, instance sizes, or usage add-ons to compare. The service covers fully-managed LiDAR annotation and labelling for autonomous vehicle data. Because the actual annotation work is scoped per project, you arrange those details directly with the vendor. The Marketplace dimension itself simply enables access rather than metering annotation volume.
Top-of-mind questions for buyers
Subscribing grants access to the fully-managed LiDAR annotation and labelling service without a charge tied to the unit. The unit enables access rather than metering how much data you annotate. The annotation work itself is scoped per project and arranged directly with the vendor.
The Marketplace unit does not meter annotation volume. Each LiDAR project is scoped separately, with pricing based on your dataset size and labelling requirements. You contact the vendor to define scope. The service is fully managed, combining human review with semi-automatic labelling pipelines.
The Product Access dimension is offered free, so subscribing itself carries no charge. There are no tiers, usage add-ons, or metered volume on the Marketplace. Any cost for annotation work is agreed directly with the vendor outside this dimension, under a separate project scope.
www.pixta.ai
Helpful?
Vendor refund policy
Not applicable - product available free of charge.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Similar products
Expert sensor fusion annotation services for automotive and robotics applications, including labeling for camera, radar, and LiDAR data. We provide precise lane, vehicle, and pedestrian annotations, as well as trajectory and motion prediction labels, enabling safer and more accurate autonomous systems and advanced robotics
Outsight's Spatial Intelligence platform track and digitizes the motion of People and Vehicles using 3D LiDAR data.
Elevation datasets in New Jersey have been collected over several years as several
discrete projects. Each project covers a geographic area, which is a subsection of
the entire state, and has differing specifications based on the available technology
at the time and project budget. The geographic extent of one project may overlap that
of a neighboring project. Each of the 18 projects contains deliverable products such
as LAS (Lidar point cloud) files, unclassified/classified, tiled to cover project area;
relevant metadata records or documents, most adhering to the Federal Geographic Data
Committee’s (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM); tiling
index feature class or shapefile; flights lines feature class or shapefile; Digital
Elevation Model in image format or Esri grid format; other derivative data products
such as contour lines feature class or shapefile.
This dataset is Lidar data that has been collected by the Scottish public sector and made available under the Open Government Licence. The data are available as point cloud (LAS format or in LAZ compressed format), along with the derived Digital Terrain Model (DTM) and Digital Surface Model (DSM) products as Cloud optimized GeoTIFFs (COG) or standard GeoTIFF. The dataset contains multiple subsets of data which were each commissioned and flown in response to different organisational requirements. The details of each can be found at https://remotesensingdata.gov.scot/data#/list
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.
This dataset, managed by the Office of the Chief Technology Officer (OCTO), through the
direction of the District of Columbia GIS program, contains tiled point cloud data for
the entire District along with associated metadata.