Moving closer to the real world

Introduction

In one of our previous blog posts and webinars, we’ve written about the power of synthetic data and Neurolabs’ synthetic data engine that transforms 3D assets into robust synthetic datasets for computer vision. At Neurolabs, we believe synthetic data holds the key for making computer vision and object detection more accurate, more affordable and more scalable. We provide an end-to-end platform for generating and training computer vision models on rich and varied annotated synthetic data, taking away the costs of labelling and considerably shortening the time-to-value of object detection solutions.

This is the second of a series of blogposts in…


Introduction

In one of our previous blog posts and webinars, we’ve written about the power of synthetic data and Neurolabs’ synthetic data engine that transforms 3D assets into robust synthetic datasets for computer vision. At Neurolabs, we believe synthetic data holds the key for making computer vision and object detection more accurate, more affordable and more scalable. We provide an end-to-end platform for generating and training computer vision models on rich and varied annotated synthetic data, taking away the costs of labelling and considerably shortening the time-to-value of object detection solutions.

One of the main problems encountered when developing computer vision…


Reduce the domain gap with domain randomization

In this post, we’ll explore how we can improve the accuracy of object detection models that have been trained solely on synthetic data.

Why machine learning? Why simulate data?

Since the resurgence of deep learning for computer vision through AlexNet in 2012, we have seen improvement after improvement — deeper networks, new architectures, more availability in data — with records being broken for accuracy and prediction speed year after year.

Object detection, a subset of computer vision, solves the problem of identifying and localising classes in an image. …


Before it became a class, it was an object.

Introduction

With the advent of wide-spread availability of training data and computational resources, computer vision and object detection have become increasingly more accessible. However, specific real-world use cases such as food detection require new classes all too often. Isn’t it annoying for your food to get cold while you wait for the data gathering process to finish?

In this blog post we present an extension to Facebook’s Detectron2 framework to detect new unseen objects, thus speeding up the data gathering process. …


Oh no, another COVID-19 post. Well hopefully not, but I admit that enforced confinement to my house, and my experience of trying to shop has prompted this post.

Anyone who has tried to buy food in the last month will have experienced an empty shelf or two. In fact one report in retail-week quoted that 72% of us have experienced this (personally I think it is an understatement). Out of Stocks (OOS) as the industry calls it has risen significantly since mid February, a report from Edge by Ascential has shown OOS has stock has soared from and all category…


Introduction

With growing levels of data, increasingly fast processing power and continuously improving algorithms, artificial intelligence (AI) solutions are now applied within an increasing multitude of industries across the globe. This is enabling faster decisions, actions and a stronger support base for countless operations day to day and making the most complex of issues simple to solve. As AI proceeds to be adopted across consumer, finance, healthcare, manufacturing, transportation and logistics, and governmental sectors, it is now time to focus attention upon the future impacts on foodservice, of which adoption of AI is still in infancy. …


“Artificial Intelligence” is currently a buzz-word frequently used in business.

But what exactly is it?

Credits to Marketoonist.com

We normally think that artificial intelligence are machines that are bound to gain consciousness and take over the world someday. But, fret not — we are miles away from having conscious machines taking over the world; let alone conscious machines.

Artificial Intelligence in the Real World

What is within the current reach when it comes to artificial intelligence (AI) are simply systems made up of algorithms and computers that are capable of processing data quickly. With good hardware and good software (i.e., algorithms), AI systems…

Neurolabs

Using the power of synthetic data to democratise Computer Vision.

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