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Perceptions of Streetscapes to Better Inform Renewal

Cities

We conclude that this deep learning-driven approach provides a feasible paradigm to depict high-resolution streetscape perception, to analyze fine-scale built environment, and to effectively bridge gaps between the street semantic metric and urban renewal.

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