- Data for computer vision systems becomes out of date within a few months for the majority of organisations
- Survey finds that quality of data, simplicity, scalability and faster training times are the main strengths of adopting synthetic data
London, UK; 22nd November 2022: Almost two-thirds (64%) of organisations suffer from ‘data drift’, where data for computer vision systems becomes out of date after a few months. That’s according to a new study by Mindtech, the developer of the world’s leading platform for the creation of synthetic data for training AI, which surveyed 250 data scientists, AI and Machine Learning engineers, and computer researchers across the UK.
When it comes to attitudes towards synthetic data, 85% of organisations are already making use of synthetic data to train computer vision systems, and feel that quality (65%), simplicity (61%), scalability (58%),…