Synthetic Computer Vision aims to translate what’s in the Virtual world back to the Real…

Deep Learning radically improved Machine Learning as a whole. The Data-Centric revolution is about to do the same. In this post, we’ll take a look at the pitfalls of mainstream Computer Vision (CV) and discuss why Synthetic Computer Vision (SCV) is the future.

🗣️ The Current State of Computer Vision

As of today, there has been over…

Virtual Stock Keeping Units help automate real world shelf monitoring (Image by author)

Out with the Old, Innovate with the SKU

The year is 2021. With a few, simple clicks of a computer screen you can order any product you desire and, in most cases, have it in your possession in less than a day’s time. That’s the…

Last month at the Tesla AI Day, the world was stunned once again by Elon Musk’s ambitious goals to create a humanoid Tesla Bot designed to help us humans with boring and repetitive tasks. What some of you might have also seen was that exactly half an hour beforehand, the…

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…

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…

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…

Neurolabs

Using the power of synthetic data to democratise Computer Vision.

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