NEUROLABS SYNTHETIC DATA ENGINE
Real World proven Data Generation for Perfectly labelled Training Datasets
Perfectly
Labelled Data
Optimised
for ML
Large Datasets Available
Privacy
Aware
“Lack and quality of real data are truly painful problems in the Computer Vision industry. Synthetic data, as an emerging field, has the potential to fix that in an unprecedented way.”
JOAN ALABOT
Lead AI Engineer at Hudl
Accelerate your model development with pixel-perfect virtual synthetic data
Synthetic Data combines advanced ML techniques and Computer-Generated Imagery (CGI) models to create large sets of perfectly labelled data that is optimised for Computer Vision models by design.
Pixel perfect labels even for parts not visible to human eyes.
High diversity data that is purpose built to train modern Neural Network models.
Milions of images specifically generated for your use case in hours at lower costs.
100% compliance with GDPR, HIPAA privacy laws because Synthetic Data is computer generated.
USE CASE
Product Recognition in Supermarkets
Uvesco Group, leading grocery chain in Spain, used the Neurolabs Platform to develop Object Recognition models that identify products on the shelves inside the stores. In this way, Uvesco is now able to gain real-time on-shelf visibility, resulting in reduced empty shelves, improved replenishment processes and increased planogram compliance rates with its suppliers. Synthetic data allows Uvesco to build robust product recognition models that work under different environment conditions in a fraction of the time it would require using traditional Computer Vision approaches.
"Before Neurolabs, we didn’t have real-time visibility of the shelves and this often would cause gaps in the products on the shelves, meaning they would not be available to our clients. Thanks to the synthetic technology that Neurolabs provides we were able in a few weeks to have real-time awareness of our shelves."
CHRIS BURLEIGH
Head of Digital Transformation & Innovation, GRUPO UVESCO, Spain
USE CASE
Food Recognition in Canteens
Advantech, a leading brand in automation in Europe, developed a cashierless checkout solution for business canteens. Advantech automation engineers used the Neurolabs Platform to train state-of-the-art Object Recognition algorithms to automatically detect food items on customers' plates. Synthetic data allows Advantech to avoid the cold-start problem and deal with new products in the menu, resulting in highly accurate and robust food recognition models.
"The advantage of this automated checkout solution is that it allows our canteen staff, so far involved in serving and collecting, to focus on meeting other customer needs, monitoring the process of replacing traditional cashiers with the cashless solution and measuring its impact, at least in the first months after implementation."
VLAD BUZOIANU
CEO, CBC CAMPUS, Romania
Contact Us!
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