MiraBest Batched Dataset

The MiraBest Batched Dataset is a labelled dataset of Fanaroff-Riley (FR) galaxies drawn from Miraghaei and Best 2017. At present, the dataset consists of FRI, FRII and hybrid FR sources, labelled as either confidently or uncertainly classified, and with any nonstandard morphology noted. The MiraBest Batched Dataset is comprised of a total of 1256 images, with their class denoted by a three-digit number. First digit: FRI (1), FRII (2), hybrid source (3). Second digit: confidently classified (0), uncertaintly classified (1). Third digit: standard morphology (0), double-double (1), wide-angle tail (2), head-tail (4). Images were obtained from the VLA FIRST sky survey via SkyView virtual telescope. All images have dimensions of 150 x 150 pixels, with one pixel equivalent to an angular size of 1.8". The dataset is split into 7 training batches and a test batch, each composed of 157 images. The number of objects of each class in each batch is roughly consistent between batches, and the test batch contains at least one example of every class.米拉批次数据集（MiraBest Batched Dataset）是一组源自Miraghaei与Best 2017年研究的标记化范阿尔洛夫-赖利（Fanaroff-Riley, FR）星系数据集。当前该数据集包含FRI、FRII以及混合型FR源，所有样本均被标记为置信分类或非置信分类，同时对所有非标准形态进行了标注。该数据集总计包含1256张图像，其类别由三位数字编码：第一位数字代表源类型，FRI对应1，FRII对应2，混合型源对应3；第二位数字代表分类置信度，置信分类为0，非置信分类为1；第三位数字代表形态类型，标准形态为0，双双结构为1，广角尾结构为2，头尾结构为4。所有图像均通过SkyView虚拟望远镜从甚大阵（Very Large Array, VLA）FIRST巡天中获取，单张图像分辨率为150×150像素，单个像素对应角尺度为1.8角秒。该数据集被划分为7个训练批次与1个测试批次，每个批次均包含157张图像，各批次内各类别样本的数量大致均衡，且测试批次包含所有类别的至少一个样本。