Zegami combines advanced analysis tools with a unique visualisation interface and allows you to rapidly categorise, label and clean large image datasets, invaluable for many applications including training machine learning models.
Zegami is unique because it easily works with both structured & unstructured data, from multiple sources: from images to documents and APIs to video. Based on Oxford University research, Zegami is being used by academics and commercial leaders across the world: Researchers, scientists and engineers: The Plant Accelerator project at the University of Adelaide solves food supply issues in large automated greenhouses in Europe, Asutralia and the US, by giving researchers the ability to view thousands of images all at once on a screen, enabling them to spot patterns or anomalies in physiological and chemical traits.
Data scientists training machine learning models: Cancer Research UK funded project, developing a cancer detection system which identifies cancerous lesions in real-time by highlighting them on the video as the patient is being examined. Business intelligence and management in commercial businesses: Siemens and numerous other firms use Zegami to manage their manufacturing documentation. HR companies including InnovaSystems and SDWorx now have Zegami fully integrated into their candidate management systems.
High throughput image analysis
Explore large image datasets and video to unlock powerful insights from previously unutilised data sources. Drive innovation for scientific research and medical imaging.