JoliGEN user manual for style transfer

The burgeoning integration of Artificial Intelligence (AI) into critical systems necessitates a foundational trustworthiness to gain widespread acceptance. This document explores the challenges in establishing such trust, including the intrinsic design of trustworthy AI models, detailed characterization, hardware integration, advanced data engineering, verification, certification, and the need for a holistic methodological framework. The Confiance.ai program aims to tackle these challenges. This document focuses on the specific challenge of acquiring high-quality, cost-effective data, highlighting the inadequacies of traditional data collection methods. It introduces the JoliGEN framework, designed to assist novices in deep learning, particularly in synthetic image generation for model training.