Pixel-Perfect,
Virtual Datasets
Synthetic Data combines advanced Machine Learning (ML) techniques and Computer-Generated Imagery (CGI) models to create large sets of perfectly labeled data that are optimised for Computer Vision models by design.
Perfectly Labelled Data
Pixel perfect labels, even for difficult-to-monitor areas.
Optimised for ML
Highly diverse data that is purpose built to train modern Neural Network models.
Large Datasets Available
Millions of images specifically generated for your use case in hours at low cost.
PrivacyReady
100% compliant with GDPR and HIPAA privacy laws as our Synthetic Data is computer generated.
JOAN ALABOT
Lead AI Engineer at Hudl
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.
3D MODELLING
Digitising SKUs
3D assets are virtual replicas of real objects. A single 3D asset is worth a million real images. Our technology, Neurolabs ZIA, gives you access to 100K+ of the most popular SKUs and deploys a streamlined method for adding additional ones that are not currently in our database.
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Starting from as few as 6 images, or using our ZIA Capture app, we can recreate digital twins of any SKU or POP material.
SYNTHETIC DATA GENERATION
Generating Optimal Virtual Data
Automated feedback loops between synthetic data generation and the synthetic computer vision model result in optimum performance. Our technology generates optimal synthetic data that maximises the downstream model performance on real data.
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We employ a range of cutting-edge techniques ranging from smart domain randomisation to physical simulations of object interactions and automatic virtual scene generation.
AI MODEL TRAINING
State-of-the-Art Model Performance
Whether used on their own or in combination with real data, Synthetic Datasets can kick-start your SKU detection algorithms and give you the critical extra performance boost that you need for your real-world deployments.
Contact Us
For partnership inquiries, product demos, platform use cases, media inquiries, job opportunities, or any general requests, please don't hesitate to contact us.
