Dataset Groups Activity Stream OpenSurfaces The OpenSurfaces dataset is a large-scale dataset for material segmentation, containing 25,352 high-resolution indoor images with 45 material categories. BibTex: @dataset{Yuwen_Heng_and_Srinandan_Dasmahapatra_and_Hansung_Kim_2024, abstract = {The OpenSurfaces dataset is a large-scale dataset for material segmentation, containing 25,352 high-resolution indoor images with 45 material categories.}, author = {Yuwen Heng and Srinandan Dasmahapatra and Hansung Kim}, doi = {10.57702/ctcrrbtw}, institution = {No Organization}, keyword = {'Image Segmentation', 'Material Recognition', 'Surface Appearance', 'cross-resolution features', 'image patches', 'material segmentation'}, month = {dec}, publisher = {TIB}, title = {OpenSurfaces}, url = {https://service.tib.eu/ldmservice/dataset/opensurfaces}, year = {2024} }