Why isn't everyone using Computer Vision to recognise objects?
The reason is, largely due to the vast amount of data required to train Deep Learning algorithms to accurately recognise objects. In traditional Computer Vision approaches, acquiring and annotating that data is a manual process that is expensive and slow.
Expensive, bad quality data sets
Low image variety
Missing a diverse distribution of examples
Biases in training data sets
Lack of model robustness
Biases in model performance
Neurolabs is democratising
"A Computer Vision powered technology propelled by a synthetic data generation engine. Breaking down the adoption barriers and enabling rapid ramp-up of object recognition solutions across multiple use cases and industries."
synthetic data GENERATION using 3D models in Virtual Environments
State-of-the-art model performance
Robust and accurate object recognition models. Successfully deal with extreme situations: partial occlusions, substantial background clutter, change in a real-world environment (e.g. light).
Photo-realistic simulation of complex real-life scenarios
Unlimited, custom-tailored training data with pixel-level annotations out-of-the-box.
Synthetic datasets on-the-fly
50,000 labelled images created in 2 hours at only €15, compared to 45 days and €2,500 using traditional methods.
Optimal training datasets
A continuous feedback loop between data generation and model training ensures the best datasets are created for optimal performance and enable model interpretability and explainability.
Additional data modalities
Enhance model performance using additional & freely available training data from the synthetic engine: depth maps, point clouds or 3D volumetric data, usually unavailable in traditional manually-labelled real-world data.
Diverse synthetic datasets
Scene randomisation in the synthetic engine provides training images with the diversity needed to cover extreme and rare real-world scenarios.
Neurolabs Computer Vision in Production
We empower both small and large customers to implement state-of-the-art CV applications with minimal incremental resources and costs — no coding required, no tedious data labelling, no image gathering.
We help our partners automate generic object recognition tasks in industries ranging from hospitality to retail and manufacturing.
Below are just a few of the things you can detect with Neurolabs.
Checkout lines in Hospitality
Localisation and control in Robotics
Utensils inventory in Healthcare
Quality control in Manufacturing
Crop grading and sorting in Agriculture