Inna Nomerovska

Computer vision projects are reliant on steady streams of high quality training data. As companies grow, so do demands for annotated images and video. However, meeting this ever accelerating demand can be a challenge for annotators and annotation management. Labeling thousands of frames of video involves an enormous investment of

Augmented Reality (AR) is an emerging technology trend that has potential applications across a wide range of industries. AR enhances our experience of real-world environments by inserting digitally produced information into the viewer's perception in a variety of ways. This can mean attaching specific information to particular real-world

Computer vision technology has the potential to increase accessibility for the visually impaired. Visually impaired individuals face a range of barriers navigating through real and virtual spaces. Online it can be difficult for the visually impaired to participate in social media and news conversations due to the extensive use of

Computer vision based AI models are on the brink of transforming every sector of the economy. This technology promises to automate a wide range of processes and services, creating significant cost and time efficiencies. Insurance is one of the industries best placed to reap the benefits of computer vision AI.

The contemporary film and media landscape is experiencing a disorienting change driven, in part, by new technology. In film, digital effects and the move to streaming content, has led to a revolution in what is possible visually as well as impacting the economics of film distribution. In the news media,

The COVID-19 pandemic has further accelerated the ongoing shift towards internet shopping and home delivery. Delivery giant Amazon reported a near 200% rise in profits in 2020, cementing at home shopping as the dominant consumer habit for the coming decades. As demand for delivery services accelerate computer vision based AI