ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset

arXiv:2404.11236v1 Announce Type: new
Abstract: Nowadays, state-of-the-art AI-based generative models represent a viable solution to overcome privacy issues and biases in the collection of datasets containing personal information, such as faces. Following this intuition, in this paper we introduce ONOT, a synthetic dataset specifically focused on the generation of high-quality faces in adherence to the requirements of the ISO/IEC 39794-5 standards that, following the guidelines of the International Civil Aviation Organization (ICAO), defines the interchange formats of face images in …

abstract art arxiv biases collection cs.cv dataset datasets generative generative models information intuition paper personal information privacy quality solution state synthetic type