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HouseExpo dataset

The HouseExpo dataset is a large-scale 2D indoor layout dataset for learning-based algorithms. It contains 5,000 images as training data, 200 images as model validation data, and 100 images as test data.

Data and Resources

This dataset has no data

Cite this as

Malte R. Damgaard, Rasmus Pedersen, Thomas Bak (2024). Dataset: HouseExpo dataset. https://doi.org/10.57702/h5f4subo

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1080/01691864.2022.2029762
Citation	https://doi.org/10.48550/arXiv.2202.09555
Author	Malte R. Damgaard
More Authors	Rasmus Pedersen Thomas Bak
Homepage	https://arxiv.org/abs/1903.09845