Appen Delivers High-Quality Training Data and Quality Assurance Services for Autonomous Vehicle Manufacturers
12 February 2021 - 12:00AM
Business Wire
Ability to combine 2D and 3D datasets enables
Appen to support industry’s most complex machine learning training
data requirements
Appen Limited (ASX:APX), the leading provider of high-quality
training data for organizations that build effective AI systems at
scale, today announced enhanced capabilities to ensure autonomous
vehicle manufacturers have access to high-quality training data and
can get the most value from their training data investment.
High-quality training data is essential to ensuring autonomous
vehicles operate safely and as expected, and Appen, which works
with 7 of the 10 largest global automotive companies and tier 1
suppliers, can deliver 99+% accuracy for highly complex multimodal
AI projects.
“It isn’t enough for vehicles to perform well in simulated or
good weather conditions in one type of topography,” said Wilson
Pang, CTO of Appen. “They must perform flawlessly in all weather
conditions in every imaginable road scenario they will encounter in
real world deployments. This means that teams working on the
machine learning (ML) model for the vehicle’s AI must focus on
getting training data with the highest possible accuracy before
being able to deploy on the road. Our customers trust us with their
most complex training data annotation scenarios because our
industry-leading annotation platform and services enable us to
deliver the high quality necessary to power multi-modal
self-driving car algorithms.”
To understand and respond properly to road, weather and safety
conditions, autonomous vehicles require complex, multidimensional
datasets from numerous and multiple types of sensors. This not only
poses a challenge due to vendor specialization, but also creates an
enormous quality assurance challenge for the data annotation
process because when teams that train the models receive
poor-quality training data, they must waste significant time and
resources performing in-house audits to determine what parts of the
datasets need improvement to provide a net benefit for their
machine learning models.
With more than 15 years of automotive industry experience,
Appen’s data annotation teams regularly work with autonomous
vehicle manufacturers to audit their existing annotated data and
help them get closer to 100% quality, so they can get the most
value from their training data. For example, to enable their
multi-modal autonomous vehicles ML algorithms, some manufacturers
need to bind two distinct datasets of varying dimensions. This is
extremely difficult to do manually but critical for autonomous
vehicle model development. With Appen’s cutting-edge technology
platform that delivers 3D point cloud annotation with object
tracking by 99+% at cuboid level, customers can now annotate a
dataset with 2D images bound to one with 3D point cloud annotations
for mapping across multiple dimensions while aligning a consistent
object ID requirement across 50+ frames.
"Our project is still in the pilot phase, and we needed to speed
up the cycle to reach production, which requires training data that
rapidly meets our algorithm requirements. The annotation tool,
including 3D LiDAR, high-quality control features, and workflows,
is already built into the Appen platform. This is helping us ensure
the process is optimized based on our project requirements,
enabling a smooth collaboration between our team and the Appen
team. We are looking forward to moving this internal pilot into
production," said a senior project leader at Ecarx, an automotive
technology company building an intelligent, connected platform for
multiple vehicle models.
The Appen training data platform combines human intelligence
from over 1 million people around the world with cutting-edge
models to create the highest-quality training data for ML projects.
Appen is also committed to helping its customers ensure responsible
AI – from pilot to production – based on ethical practices and data
diversity, across all major use cases. For more information on the
Appen platform, visit appen.com.
About Appen Limited
Appen collects and labels images, text, speech, audio, and video
used to build and continuously improve the world’s most innovative
artificial intelligence systems. With expertise in more than 180
languages, a global crowd of over 1 million skilled contractors,
and the industry’s most advanced AI-assisted data annotation
platform, Appen solutions provide the quality, security, and speed
required by leaders in technology, automotive, financial services,
retail, manufacturing, and governments worldwide. Founded in 1996,
Appen has customers and offices around the world.
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version on businesswire.com: https://www.businesswire.com/news/home/20210211005137/en/
Titus Capilnean Director, Corporate Marketing
tcapilnean@appen.com
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