Inna Nomerovska

Smart livestock farming has the potential to meet the challenges of food production in the twenty-first century. Computer vision based AI monitoring systems have the capacity to support farmers and improve animal welfare, whilst promoting efficiency and productivity. Livestock management is being transformed by machine learning models that can manage

Reliable emotion detection is one of the holy grails of deep learning and AI research. The creation of AI models that are consistently able to recognise and contextualise human emotions promises revolutionary applications across a number of industries. Widespread deployment of this technology will allow companies and other organisations to

Facial recognition technology is helping to create a safer world. Computer vision based AI models have the capacity to protect homes and secure public spaces by identifying threats and alerting security services. However, as this technology moves into the real world significant challenges are beginning to emerge. Until now facial

Annotating image and video data for machine learning is a substantial challenge for all AI companies, but for startups it can be a significant bar to development. Accurate, quality image annotation requires a large investment of time and resources, potentially detracting from the core mission of companies at a precarious

Precise, scalable data annotation is helping drive forward development in AI across many industries. In the interior design and furniture business, computer vision based AI applications are already having a significant impact on the way consumers shop and buy. Furniture products have been slower to shift to online shopping. This

Keymakr is supporting innovative machine learning projects by providing diverse, high-quality image and video datasets. One of these collaborations is with Mellow, a machine learning platform for small and midsize businesses. We talked to Mellow Co-Founders Nathan Collins and Ankur Patel to find out more about their project. Answers have