人脸跟踪视频测试集 很全 下载必有收获

直接使用read_data_sets()无法自动下载mnist数据集，也有博主说官网已经下载不了了。我是在极客学院直接手动下载的，在工作目录中新建一个MNIST_data文件夹，用于存放下载的数据集。

Congress on Evolutionary Computation （cec）2013年的资料，java版和matlab版还有c版的，matlab的需要C++编译器才行，是混合编程的，具体看readme.外加DRMA-LSCh-CMA的源码一份。觉得不错请回来评论一下，谢谢。

验证码识别的训练集和测试集，已打好标签，可以直接用于训练

这是卡内基梅隆大学的公开人脸测试集。测试集共分四个文件夹，分别为测试集A、B、C和旋转测试集。由于大小限制，因此将四个文件夹分开上传 The image dataset is used by the CMU Face Detection Project and is provided for evaluating algorithms for detecting frontal views of human faces. This particular test set was originally assembled as part of work in Neural Network Based Face Detection. It combines images collected at CMU and MIT. Please give appropriate acknowledgements when you use these test sets. In the lists of files below, you will find references to Test Sets A, B, C and the Rotated Test Set. Test Set B was provided by Kah-Kay Sung and Tomaso Poggio at the AI/CBCL Lab at MIT, and Test Sets A,C and the rotatated test set were collected here at CMU (by Henry A. Rowley, Shumeet Baluja, and Takeo Kanade). In [Schneiderman and Kanade, 2000] and [Schneiderman and Kanade, 1998] we refer to the combination of test sets A, B, and C as the "combined test sets of Sung and Poggio and Rowley, Baluja, and Kanade." In [Rowley, Baluja, and Kanade, 1998] we refer to the combination of sets A, B, C as "test set one" and in [Rowley, Baluja, and Kanade, 1997] we refer to it as the "upright set" as distinguished from the "rotated set."

蘑菇数据，训练集。这里放上来可以下来跑程序。不用积分的设置不了，就设置最低的积分吧。

旅行商(TSP)问题测试集,可用于测试蚁群算法\遗传算法性能

百度网盘链接：内有用于机器学习，测试猫狗的原始图片，包含训练数据25000，测试数据125000，可以为机器学习练习提供必要的数据集！

机器学习泰坦尼克号案例的完整数据集，包含训练集和测试集。

车辆分类识别的测试集，跟车辆分类识别的训练集配合使用，但是由于上传文件大小限制，没有能够一次性上传，同样是标注好的VOC格式文件包含图片跟对应.xml文件，支持转TFRecord格式感兴趣的可以下载使用。