M-A island segmentation of bainite microstructures in SEM image data

The original resolution of in total 40 images is 2048x1536 divided into three datasets (images in set I: 20x, set II: 10x, set III:10x). Each of the three datasets correspond to a specific cooling strategy (i,ii or iii) of a bainitic steel and therefore to a bainitic microstructure with specific characteristics. After cropping the image size of each dataset, sub-datasets are created with image resolution: 768x768, 512x512, 256x256, 192x192, 128x128 and 64x64 (only for dataset II). Each sub-dataset contains a training set ("im_train"), validation set ("im_val") and labels for train and validation set. The appendix provides (i) a dataset consisting of all 40 images in reference size, (ii) the reference images of dataset I which was merged from images of two cooling strategies.本次涉及的总计40张原始图像分辨率均为2048×1536，被划分为三个数据集：数据集I的图像为20倍放大倍率，数据集II与III的图像为10倍放大倍率。三个数据集分别对应贝氏体钢的三种特定冷却工艺（i、ii或iii），因此各自对应具有特定特征的贝氏体显微组织。对各数据集进行尺寸裁剪后，生成了多种分辨率的子数据集，分别为768×768、512×512、256×256、192×192、128×128，其中仅数据集II额外包含64×64分辨率的子数据集。每个子数据集均包含训练集（"im_train"）、验证集（"im_val"）以及训练集与验证集对应的标注标签。本数据集附录包含两部分内容：(i) 由全部40张原始参考分辨率图像组成的总数据集；(ii) 由两种冷却工艺的图像合并得到的数据集I的参考图像。