Michael Abramov

Accurately labeled datasets are the raw material for the machine learning algorithms and deep learning revolution. Vast quantities of data are required to train new target object generations of Artificial Intelligence (AI). Correctly labeled images train computer vision systems to reliably distinguish between a stop sign and pedestrian. Or it

The continued development of cutting edge AI technology is dependent on precisely annotated training images. Image annotation creates the raw materials that enable potentially transformative AI use cases across virtually all sectors of the global economy. The process of AI development often begins with human annotators applying a range of

Professional annotation services, like Keymakr, are collaborating with industry leaders to push forward the development of automated transport infrastructure. In the field of autonomous vehicles high accuracy, high quality data labeling is supporting improvements in reliability and safety. However, automated systems for personal vehicles are just one part of creating

The coming century will see unprecedented challenges for agriculture and food production. By 2050 agricultural land will be required to feed an additional two billion people. This enormous increase in demand will coincide with pressures on supply caused by a changing climate and the increasing soil degradation. Securing the global