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Automotive AI models have the potential to drastically improve safety on our roads. Automated vehicles should be able to navigate traffic reliably and avoid accidents at a higher rate than human drivers. For AI models in this fast growing sector reliability is absolutely essential, failures could lead to high profile

In a world of online streaming, sporting events retain significant value due to their live, conversation driving nature. Despite the hugely damaging effects of COVID-19 advertisers and commercial partners are still eager to invest in sports and benefit from the visibility they create. Creating engaging highlight packages, that can be

Caring for plants and producing crops for food is a demanding task. Farmers have to deal with a host of issues from disease to bad weather and poor soils. These challenges will only become greater as the global climate changes. As a result the agriculture industry is turning to new

Medical practitioners and AI developers are beginning to bring AI into the world of patient care. Computer vision based AI models can help diagnose conditions, prevent illness and improve recovery. And increasingly AI applications are being developed to help surgeons and reduce surgical complications. AI systems can support skilled surgeons

The development of computer vision based machine learning technology is defined by changes in data needs, company structure, and workforce size. Machine learning companies of all sizes are heavily reliant on access to annotated training data of sufficient quality, at the scales that their projects require. For startups, this could

In the era of internet shopping brick and mortar stalls still have an appeal for many shoppers. Many consumers still enjoy browsing through physical products and comparing in-store deals to find the best bargains. Food sellers and clothing stores are the primary focus of in-store shopping and in-both sectors companies

Computer vision based AI models are required to interpret and operate within a complex world, filled with difference and variety. As a result machine learning algorithms need to be trained with image and video data that reflects a chaotic real world. Image and video datasets for machine learning need to