Artificial LEATHER

Artificial leather research encompasses the development of synthetic materials mimicking the properties and appearance of natural leather. Current research focuses on improving the quality control of artificial leather production, employing advanced object detection models like YOLO-based architectures to identify and classify defects with high accuracy. These advancements are crucial for ensuring consistent product quality and optimizing manufacturing processes, ultimately impacting the efficiency and sustainability of the artificial leather industry. Furthermore, separate research explores the application of machine learning to improve the human-like quality of text generated in dialogue systems, though this is unrelated to the material science of artificial leather itself.