Incisor Pulp Chamber Tomographic Images (IPCTI)

The IPCTI dataset comprises 2,648 CBCT-derived dental images from 662 patients, with each patient contributing four images: sagittal and coronal views of the upper central incisors. The dataset includes 452 female and 210 male subjects, and its primary objective is to support age estimation based on these image sets. In addition to age and sex labels, the dataset provides object detection and semantic segmentation annotations. This set of annotations makes the dataset suitable for a variety of tasks, including research in forensic odontology, dental imaging, and anatomical studies, primarily those focused on age estimation based on radiographic features. Therefore, IPCTI offers a valuable benchmark for advancing deep learning research in computer vision, particularly in the context of multi-view learning and multi-task learning.