Omkar2118/datasets huggingface dataset:
FP4S
Full name: Floor plan image segmentation via scribble-based semi-weakly-supervised learning

We introduce a new style- and category-agnostic floor plan image parsing benchmark developed in collaboration with professional architectural designers. This benchmark includes 25 categories of space and adjacency labels (19 space elements and 6 adjacency elements), offering a more diverse and comprehensive representation of common design elements across various graphical styles and design categories. It sets a new standard for the level of diversity and complexity of floor plan image parsing tasks oriented towards real-world applications, far exceeding the scope of existing datasets. This benchmark is available at https://doi.org/10.7910/DVN/MDIRHE.

Introducing paper: Floor Plan Image Segmentation Via Scribble-Based Semi-Weakly Supervised Learning: A Style and Category-Agnostic Approach