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Urban Perception Assessment Framework by bangedher is a document available to read on EtoBox.
What is Urban Perception Assessment Framework about?
The document presents a human-machine adversarial scoring framework designed to assess urban perceptions using street-view images, specifically targeting Chinese cities. By integrating deep learning techniques and iterative feedback, the framework achieves perception estimations with errors under 10%, offering a rapid and cost-effective solution for urban planners. The methodology emphasizes the importance of local context in urban perception assessments, addressing limitations of existing global datasets.
- Author
- bangedher
- Language
- EN