怎样将DataSet中修改(增加_删除_修改)过的记录更新进数据库中怎样将DataSet中修改(增加_删除_修改)过的记录更新进数据库中

操作数据库，分页实例sqlserver c#

车牌识别数据集，在原基础上做了部分调整及增加了部分数据

benchmark数据集主要有（全部为.mat格式可以直接使用，label已处理好）：jaffe50_uni,YaleData,ORLData,feret_data,UmistData,AR_ImData,XM2VTS50,MSRA50,MSRA25,Coil20Data,Coil100Data,USPSdata,MnistData，Mpeg7_uni，caltech101，PalmData25，poseData_32，australian，chess_uni，cleve_uni，balance_uni，breast_uni，heart_uni，diabetes，glass_uni，pima_uni。等一共约100份数据集（不一一罗列了!）

超分辨图像重建数据集：包括训练集，训练集DIV2K有7G(提供下载地址)，5个测试集Set5，Set14，BSD100，URBAN100，MANGA109

现在将博客 https://blog.csdn.net/weixin_39249915/article/details/82686141 的数据集代码上传！！！！

asp.net 利用webservice，dataset创建火车票查询系统 asp.net 利用webservice，dataset创建火车票查询系统

原版的Yale人脸库（格式转换了一下），15个人，每人11张图片，灰度，png格式，100x100，有表情、光照和眼镜变化，已剪裁和对齐

The CAS-PEAL face database has been constructed under the sponsors of National Hi-Tech Program and ISVISION by the Face Recognition Group of JDL, ICT, CAS. The goals to create the PEAL face database include: providing the worldwide researchers of FR community a large-scale Chinese face database for training and evaluating their algorithms; facilitating the development of FR by providing large-scale face images with different sources of variations, especially Pose, Expression, Accessories, and Lighting (PEAL); advancing the state-of-the-art face recognition technologies aiming at practical applications especially for the oriental. Currently, the CAS-PEAL face database contains 99,594 images of 1040 individuals (595 males and 445 females) with varying Pose, Expression, Accessory, and Lighting (PEAL). For each subject, 9 cameras spaced equally in a horizontal semicircular shelf are setup to simultaneously capture images across different poses in one shot. Each subject is also asked to look up and down to capture 18 images in another two shots. We also considered 5 kinds of expressions, 6 kinds accessories (3 glasses, and 3 caps), and 15 lighting directions. This face database is now partly made available (a subset named by CAS-PEAL-R1, contain 30,900 images of 1040 subjects) for research purpose only on a case-by-case basis only. JDL is serving as the technical agent for distribution of the database and reserves the copyright of all the images in the database.

keras的数据集 from keras.datasets import imdb (x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=20000)