Dental dataset

该数据集是在UFBA-UESC数据集基础上创建的，包含了425张具有边界框和多边形注释的口腔全景X光片。此外，该数据集还包括了从原始数据集中准备的两组测试数据集，用于评估BB-UNet和U-Net模型。规模上，数据集包含了425张图像和11,591个牙齿实例。该数据集的任务是对牙齿进行分割和分类。

This dataset is developed based on the UFBA-UESC dataset, containing 425 panoramic dental radiographs with bounding box and polygon annotations. Additionally, this dataset includes two test datasets prepared from the original dataset, which are used to evaluate the BB-UNet and U-Net models. In terms of scale, the dataset consists of 425 images and 11,591 tooth instances. The task of this dataset is tooth segmentation and classification.