Neurala Launches AI-Assisted Video
Annotation Tool in Brain Builder
December 18, 2018
Neurala has launched a new
AI-assisted video annotation tool within its Brain Builder platform.
Automated video annotation will significantly accelerate data
preparation for neural networks, in turn helping organizations train and
deploy AI faster.
Neurala’s Brain Builder is a SaaS platform that streamlines creation,
deployment, analysis and management of deep learning applications. Its
purpose-built, AI-powered annotation tools – which now include video
tagging – help simplify the data preparation process and drastically
reduce data tagging time.
“Traditional approaches to AI data preparation are extremely
time-consuming and labor-intensive, requiring large amounts of data that
needs to be painstakingly and expensively annotated,” said Dr.
Massimiliano Versace, co-founder and CEO of Neurala. “Our aim with Brain
Builder is to lower that barrier to entry with easy-to-use annotation
tools. With the addition of video annotation, we’re able to automate
data preparation even further, helping organizations reduce time and
cost of AI data preparation by at least 50 percent.”
Video annotation is the latest addition to Neurala’s Lifelong AI
technology stack, with the tool learning iteratively as users tag any
object of interest - whether that be people, defects, objects or the
like - in a video. After a user labels any object of interest in the
first frame, the video annotation tool uses Neurala's Lifelong AI
technology to automatically annotate that object in subsequent frames.
For example, if five people entered into a frame, they would all be
annotated automatically after a user tagged the first frame with just
one person. This capability will enable significant time-savings
compared to traditional video annotation methods, which would require
each new person entering a frame to be tagged manually.
addition to time savings, AI-assisted video annotation will increase
productivity exponentially for any organization with video data
available. For instance, users can annotate one frame of a 10 second
video and get an output of 300 annotations, whereas with traditional
annotation methods, users would need to manually tag 300 distinct images
to get the same result.
“At the end of the day, it’s about helping organizations and developers
build, train and deploy AI more efficiently and cost-effectively,” Dr.
Versace continued. “Neurala’s Brain Builder platform is already changing
the game when it comes to how vision-AI is built. And now, video
annotation will expand the possibilities for accessibility and
productivity even further.”
The ROI of AI-assisted video annotation is significant. With Brain
Builder, organizations can annotate video at half the cost, compared to
the cost of annotation without Brain Builder ($6,750 per hour of video