Click2Poly: A VLM for vector mapping buildings and walls
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Computer Science > Machine Learning
Title:Click2Poly: A VLM for vector mapping buildings and walls
Abstract:Accurate vector mapping of buildings and walls is critical for geospatial applications but remains a labor-intensive process. While recent deep learning methods have improved automatic extraction, in order to meet cartographic standards they always require a human to perform quality control and fix complex cases in the extraction. We present Click2Poly, a human-in-the-loop AI assistant designed to speed up this manual step. Extending the Florence-2 Vision Language Model (VLM), Click2Poly responds to user clicks by editing the building or wall vector layer directly. Implemented as a QGIS plugin, Click2Poly speeds up the manual editing of building and wall vector layers in a real-world production environment.
| Subjects: | Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2608.11424 [cs.LG] |
| (or arXiv:2608.11424v1 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2608.11424
arXiv-issued DOI via DataCite (pending registration)
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| Journal reference: | IGARSS 2026 |
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