Side-scan sonar boulder recognition dataset

The Side-scan sonar boulder recognition dataset consists of 3 classes "Boulder", "Shadow", and "Boulder+Shadow" created to use the combined shape for localisation of the entire entity while Boulder and Shadow shapes can be used to create a separate model or algorithm separating boulder and its shadow for further analysis or estimation of dimensions. The resulting dataset consists of 2000 boulder instances located in 1845 images. The data was into training, validation, and test sets at the point of creation for the purpose of inference using sonar swaths which cannot be published. The exact distribution is as follows: Train - 1478 images - 1600 instances (each class) Test - 183 images - 200 instances (each class) Valid - 184 images - 200 instances (each class) All images are saved in greyscale PNG format where each pixel is a single sample representing the intensity of the signal received by the sonar. The sonar data was collected from three undisclosed locations.侧扫声呐（Side-scan sonar）巨石识别数据集包含“巨石（Boulder）”“阴影（Shadow）”与“巨石+阴影（Boulder+Shadow）”三个类别。本数据集旨在通过组合形状实现完整目标的定位，同时可利用巨石与阴影的独立形状构建单独模型或算法，以分离巨石与其阴影，进而开展后续分析或尺寸估算。 本数据集共包含1845幅图像中的2000个巨石实例。数据集在构建之初即被划分为训练集、验证集与测试集，以适配无法公开的声呐条带（sonar swaths）推理任务。具体划分情况如下： 训练集：1478幅图像，每类别含1600个实例 测试集：183幅图像，每类别含200个实例 验证集：184幅图像，每类别含200个实例 所有图像均以灰度PNG格式存储，每个像素代表声呐接收信号的强度值。本次声呐数据采集自三处未公开的作业区域。