000118278 001__ 118278 000118278 005__ 20230914083649.0 000118278 0247_ $$2doi$$a10.1016/j.dib.2022.108375 000118278 0248_ $$2sideral$$a129555 000118278 037__ $$aART-2022-129555 000118278 041__ $$aeng 000118278 100__ $$0(orcid)0000-0003-2674-4844$$aBerenguel-Baeta, B.$$uUniversidad de Zaragoza 000118278 245__ $$aNon-central panorama indoor dataset 000118278 260__ $$c2022 000118278 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118278 5203_ $$aOmnidirectional images are one of the main sources of information for learning-based scene understanding algorithms. However, annotated datasets of omnidirectional images cannot keep the pace of these learning-based algorithms development. Among the different panoramas and in contrast to standard central ones, non-central panoramas provide geometrical information in the distortion of the image from which we can retrieve 3D information of the environment. However, due to the lack of commercial non-central devices, up until now there was no dataset of these kind of panoramas. In this data paper, we present the first dataset of non-central panoramas for indoor scene understanding. The dataset is composed of 2574 RGB non-central panoramas taken in around 650 different rooms. Each panorama has associated a depth map and annotations to obtain the layout of the room from the image as a structural edge map, list of corners in the image, the 3D corners of the room and the camera pose. The images are taken from photorealistic virtual environments and pixel-wise automatically annotated. 000118278 536__ $$9info:eu-repo/grantAgreement/ES/AEI-FEDER/RTI2018-096903-B-I00 000118278 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000118278 592__ $$a0.258$$b2022 000118278 593__ $$aMultidisciplinary$$c2022$$dQ2 000118278 593__ $$aEducation$$c2022$$dQ3 000118278 594__ $$a2.6$$b2022 000118278 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000118278 700__ $$0(orcid)0000-0002-8479-1748$$aBermudez-Cameo, J.$$uUniversidad de Zaragoza 000118278 700__ $$0(orcid)0000-0001-5209-2267$$aGuerrero, J.J.$$uUniversidad de Zaragoza 000118278 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát. 000118278 773__ $$g43 (2022), 108375 [5 pp.]$$pData brief$$tData in Brief$$x2352-3409 000118278 8564_ $$s441034$$uhttps://zaguan.unizar.es/record/118278/files/texto_completo.pdf$$yVersión publicada 000118278 8564_ $$s1249649$$uhttps://zaguan.unizar.es/record/118278/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000118278 909CO $$ooai:zaguan.unizar.es:118278$$particulos$$pdriver 000118278 951__ $$a2023-09-13-14:14:16 000118278 980__ $$aARTICLE