renhai-lab/Paper_Replication--Understanding-architecture-age-and-style-through-deep-learning
《通过深度学习来识别建筑年代和风格》——论文复现
This project helps urban planners, architectural historians, and real estate analysts automatically identify the construction age and architectural style of buildings from street-level images. You input building footprint data and street view imagery, and it outputs classifications for building age (into 9 time periods) and style, along with spatial distribution maps. It's designed for professionals who need to analyze large datasets of urban architecture.
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Use this if you need to systematically analyze the age and style of buildings across an urban area using readily available street view images.
Not ideal if you're looking for a simple plug-and-play web tool for single image analysis or if you don't have access to GPU resources for training.
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GPL-3.0
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Sep 26, 2025
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