InReDD-Dataset-PAN924 is a collection of 924 radiographic images annotatedwith mouth and teeth labels by specialists from the InReDD research group.InReDD (Interdisciplinary Research Group in Digital Dentistry) is acollaborative research initiative at the University of Sao Paulo's RibeiraoPreto Campus (USP-RP), uniting the Department of Computation and Mathematics(DCM-USP-RP) and the School of Dentistry of Ribeirao Preto (FORP-USP-RP). Thegroup is dedicated to developing applied technologies for the field ofOdontology.In this context, the InReDD-Dataset-PAN924 is an image collection from thefield of Odontology. It was developed to support descriptive analyses and tofacilitate the creation and validation of artificial intelligence models. Thedata were collected primarily through clinical work at FORP-RP.This manuscript draws upon a previously published work, " Development of adental digital dataset for research in artificial intelligence: the importanceof labeling performed by radiologists." However, certain details have beenadjusted or updated to account for temporal adaptations and contextualrevisions. As a result, portions of the content may not correspond verbatim tothe original publication, although the scientific essence and corecontributions remain preserved.

InReDD-Dataset-PAN924 is a collection of 924 radiographic images annotatedwith mouth and teeth labels by specialists from the InReDD research group.InReDD (Interdisciplinary Research Group in Digital Dentistry) is acollaborative research initiative at the University of Sao Paulo's RibeiraoPreto Campus (USP-RP), uniting the Department of Computation and Mathematics(DCM-USP-RP) and the School of Dentistry of Ribeirao Preto (FORP-USP-RP). Thegroup is dedicated to developing applied technologies for the field ofOdontology.In this context, the InReDD-Dataset-PAN924 is an image collection from thefield of Odontology. It was developed to support descriptive analyses and tofacilitate the creation and validation of artificial intelligence models. Thedata were collected primarily through clinical work at FORP-RP.This manuscript draws upon a previously published work, " Development of adental digital dataset for research in artificial intelligence: the importanceof labeling performed by radiologists." However, certain details have beenadjusted or updated to account for temporal adaptations and contextualrevisions. As a result, portions of the content may not correspond verbatim tothe original publication, although the scientific essence and corecontributions remain preserved.