Location Intelligence – Neighbourhood Beauty and Specialised POI data
In today's competitive landscape, understanding the nuances of a location is crucial. Our ML-driven datasets offer unique insights into location aesthetics and undiscovered points of interest, combining crowdsourced human insights with advanced AI to go beyond traditional popularity metrics.
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Neighbourhood Beauty Ratings
UNITED KINGDOM
This dataset includes beauty ratings for different neighbourhoods, derived from human-labelled data and extrapolated using an ML algorithm. Potential applications include urban planning, real estate analysis, tourism research, quality of life studies, property valuation, local government policy-making, retail location planning and advertising targeting. -
Beautiful Places POIs & Categories
SELECTED COUNTRIES
This dataset contains Points of Interest (POIs) identified as "beautiful places," derived from human-labeled data. Each location is categorized by scenic type (such as Historical Buildings, Waterfalls, and Nature Reserves). The dataset goes beyond traditional popularity metrics to capture places of inherent beauty, whether they're major attractions or hidden gems. Potential applications include travel planning, content creation, tourism research, photography planning, and real estate development.
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Greenspace Quality Index
SELECTED COUNTRIES
This dataset includes quality ratings for greenspaces, derived from human-labeled data and extrapolated using an ML algorithm. The dataset evaluates parks, commons, and other public green areas based on their overall quality and features. Potential applications include urban planning, public health research, property valuation, environmental management, and recreation planning.