- Mindtech’s Digital DNA technology creates a diverse range of Digital Humans that allow for statistically fair representation of the eight billion real humans on the planet
- Improves accuracy of AI systems by enhancing diversity and reducing bias while protecting rights to privacy
LONDON–(BUSINESS WIRE)–Mindtech, the developer of the world’s leading end-to-end synthetic data creation platform for training AI vision systems, has announced the launch of its Digital Humans 2.0 within its Data Ops Platform.
To improve accuracy in understanding and identifying human behaviours, massive training dataset diversity is required. Mindtech’s digital humans vary the “Digital DNA” elements such as skin tone (using Monk skin tone scale to measure diversity), ethnicity (especially facial build and features), age, physical sizes, as well as clothing. This creates training data that can surpass the performance of real-world data alone.
Digital DNA technology has significant advantages compared to the “avatars” created by Generative AI models. These may be trained on datasets of unknown provenance and rights, have inherent biases, or often suffer from visual artefacts that severely impair model performance.
Mindtechs Digital Humans 2.0 can be used in numerous use cases, such as: