SynthVision - Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data

Rapid development of disease detection computer vision models is vital in response to urgent medical crises like epidemics or events of bioterrorism. However, traditional data gathering methods are too slow for these scenarios necessitating innovative approaches to generate reliable models quickly from minimal data. We demonstrate our new approach by building a comprehensive computer vision model for detecting Human Papilloma Virus Genital warts using only synthetic data. In our study, we employed a two phase experimental design using diffusion models. …

computer computer vision cs.ai cs.cv cs.lg data detection development disease epidemics events generate image image data medical synthetic vision vision models vital