公开1200+张牙科图像数据集，助力自动龋齿检测
AlphaDent: A dataset for automated tooth pathology detection
- 基于295名患者牙科照片构建，含1200+图像
- 9类标注，支持实例分割任务，模型预测效果佳
- 数据集与代码开源，适合牙科AI研究者使用
本文介绍了一个全新的牙科研究数据集AlphaDent。该数据集基于295名患者的数码单反相机拍摄的牙齿图像，共包含超过1200张图像，已针对实例分割问题进行标注，分为9个类别。文章详细描述了数据集的构成与标注格式，并报告了基于该数据集进行神经网络训练的实验结果，模型预测表现优异。数据集采用开放许可发布，训练/推理代码及模型权重亦可免费获取。
原文摘要 · Abstract (English)
In this article, we present a new unique dataset for dental research - AlphaDent. This dataset is based on the DSLR camera photographs of the teeth of 295 patients and contains over 1200 images. The dataset is labeled for solving the instance segmentation problem and is divided into 9 classes. The article provides a detailed description of the dataset and the labeling format. The article also provides the details of the experiment on neural network training for the Instance Segmentation problem using this dataset. The results obtained show high quality of predictions. The dataset is published under an open license; and the training/inference code and model weights are also available under open licenses.
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