vo:id
atlas of vacant spaces Urban vacant land in dense, post-industrial cities remains spatially invisible: absent from open datasets despite its potential to address chronic green space deficits. This thesis “vo:id” is a pipeline detecting, classifying, and prioritizing urban voids using only globally covered open data. Combining OSM-based negative masking, vision-language model classification, and human-in-the-loop validation, … Read more