The 3D annotation tools are compatible with their proprietary flash lidar technology, along with robust project management and a secure workforce.

1. Client is known for providing commendable training data sets that are quite accurate. They
opulent data sets are acknowledged for producing the greatest possible machine learning
results in the development of autonomous vehicles. With a wonderful vision of technological
advancement, they are trying to create futuristic data annotation services for all the clients.
ABOUT THE CLIENT
“FiveS provides the best customer experience by using multichannel contact centers solution, data-
driven insight, shared devices and digital transformation by process automation. We also determine,
design, implement analysis and improve business to ensure you can streamline and enhance back-
office operations.”
FIVES DIGITAL
Challenges Solution Result
fivesplash5@gmail.com
The client required 3D
annotation tools compatible
with their proprietary flash
lidar technology, along with
robust project management
and a secure workforce.
The file size of LiDAR
generated data is so huge
that it needed high
configuration devices to
store, manage, and utilize
such data with a more
complex user interface.
150+ skilled people were
required to be hired and
trained in a week’s time.
Annotator
training/qualification : Our
secure and highly effective
training and qualification
program helped annotators
execute unique and complex
3D annotation
Robust quality assurance : Our
platform’s built-in heuristic
check options, flexible scoring
rubrics, multi-user verification
workflow.
End-to-end project
management
High-precision 3D labelling
tools : Our robust 3D cuboid
and segmentation tools
supported class detection for
objects
1.5M Lidar annotations
processed, analyzed and
delivered.
200+ Full-time data
annotators completed the
tasks in 90 days.
99% High-quality
annotations at recall and
precision rate for 3D object
detection and segmentation
projects.
Building High-Quality 3D Flash
lidar Datasets for Autonomous
Vehicles