Seoul street-view database for urban environment research

Key Points

• The street-view database provides a comprehensive tool for urban environment analysis, enhancing data accessibility.
• Key features include geospatial analysis with diverse data visualizations that aid studies in urban planning.
• Data collection methods involve machine learning algorithms to extract and categorize environmental elements effectively.
• This research highlights the potential for improving urban planning efforts through enhanced understanding and data integration.