Chung Yuan University

Check the neighborhood before you rent or buy.

The apartment looks good. What about the street? TidyMap uses AI street imagery analysis and public facility data to turn nearby convenience and the street environment into something you can compare. Search an address you're considering to see the neighborhood around it.

1. Street-level samplingOne street-level photo every 50 m along each street (each grid shows its capture date and source)
2. AI scoringAn AI vision model rates cleanliness, buildings, sidewalks and greenery; their average is the street environment score
3. Plus everyday convenienceAccess to transit, shopping and healthcare from public facility data, combined with the street environment into the overall score (weights on the methodology page)

How to read it: yellow = poor, blue = good; grey = not enough data

TidyMap rates the street environment and everyday convenience. It does not assess the home itself, safety, noise or actual living experience. Street environment scores use AI assessments of imagery; convenience scores use public facility data.

Content is for personal browsing. Official TidyMap neighborhood cards may be shared as generated; anyone using one commercially is responsible for their own compliance (sharing guidelines). Bulk extraction, APIs and dataset redistribution require a data licence. This site uses Google Analytics and Cloudflare Analytics.

Data & Methodology · Commercial Data