Training data semantic segmentation historical Images

This dataset contains historical images and their labelled counterparts used to train a network for semantic segmentation of historical images. The images are historical aerial imagery from Antarctica, made between 1940 and 1990.The images are black and white and can be nadir (V) or oblique (L or R).The labelled images are labelled manually and are the segmented equivalents of the historical images. They contain 6 classes:1: ice, 2: snow, 3: rocks, 4: water, 5: clouds, 6:sky, 7: unknown.A pixel value of 0 means unlabelled.<br>本数据集包含历史影像及其标注对应影像，用于训练可对历史影像执行语义分割任务的神经网络。该数据集收录的影像为1940年至1990年间拍摄的南极历史航空影像，均为黑白格式，拍摄视角可分为天底视角（V型）与倾斜视角（L型或R型）。标注影像均为手动完成的语义分割对应版本，共包含7个类别：1. 冰、2. 雪、3. 岩石、4. 水体、5. 云、6. 天空、7. 未知。像素值为0的区域代表未标注区域。