tentime/ufo-mnist

UFO-MNIST是一个包含UFO-like spotting patterns和常见空中类似物的数据集，由8,000个训练样本和2,000个测试样本组成，每个样本是一个28x28的灰度图像，关联10个标签之一。该数据集设计为紧凑的MNIST风格基准，用于机器学习示例和图像分类器，保持原始MNIST的图像大小和训练/测试结构，并提供压缩的NumPy存档以及与常见MNIST加载器兼容的IDX gzip文件。UFO-MNIST is a dataset of UFO-like spotting patterns and common aerial lookalikes, consisting of a training set of 8,000 examples and a test set of 2,000 examples. Each example is a 28x28 grayscale image associated with one of 10 labels. UFO-MNIST is designed as a compact, MNIST-style benchmark for machine-learning examples and image classifiers. It shares the original MNIST image size and train/test structure, and it is provided both as a compressed NumPy archive and as IDX gzip files compatible with common MNIST loaders.