Project DetailsThis work aims to address the pressing need for high-quality public open spaces in urban environments, with a focus on leveraging computer vision and deep learning techniques. The COVID-19 pandemic has emphasized the importance of public open spaces in enhancing the well-being and quality of life for city dwellers. It has become evident that these spaces serve as vital elements in urban landscapes and play a significant role in promoting physical and mental health, social interactions, and overall community resilience.
To ensure that public spaces, particularly parks, meet the expectations and needs of city residents, it is imperative that they are of good quality, suitable and adapted to both the environment and people. However, the process of designing and constructing such spaces involves numerous challenges and complexities. Our project seeks to contribute to overcoming these challenges by providing a comprehensive model for evaluating public open spaces, specifically focusing on the pre-construction phase.
