Habitat

doi:doi:10.57702/3vtv09pg

Habitat

The Habitat dataset is a large-scale indoor simulator dataset containing 145 semantically-annotated indoor scenes.

BibTex:

@dataset{Andrew_Szot_and_Alexander_Clegg_and_Eric_Undersander_and_Erik_Wijmans_and_Yili_Zhao_and_John_Turner_and_Noah_Maestre_and_Mustafa_Mukadam_and_Devendra_Singh_Chaplot_and_Oleksandr_Maksymets_2024,
    abstract = {The Habitat dataset is a large-scale indoor simulator dataset containing 145 semantically-annotated indoor scenes.},
    author = {Andrew Szot and Alexander Clegg and Eric Undersander and Erik Wijmans and Yili Zhao and John Turner and Noah Maestre and Mustafa Mukadam and Devendra Singh Chaplot and Oleksandr Maksymets},
    doi = {10.57702/3vtv09pg},
    institution = {No Organization},
    keyword = {'3D Environment', '3D modeling', '3D models', '3D point clouds', 'Embodied AI', 'Habitat', 'Indoor simulation', 'Object Detection', 'Platform', 'RGBD images', 'Robotics', 'indoor scenes', 'reinforcement learning', 'visual navigation'},
    month = {dec},
    publisher = {TIB},
    title = {Habitat},
    url = {https://service.tib.eu/ldmservice/dataset/habitat},
    year = {2024}
}