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

Cite this as

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

DOI retrieved: December 16, 2024

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