这是一个已分类的CK人脸表情数据集，可以用于人脸表情深度学习相关算法研究的训练样本，欢迎下载

fer2013+The FER+ annotations provide a set of new labels for the standard Emotion FER dataset. In FER+, each image has been labeled by 10 crowd-sourced taggers, which provide better quality ground truth for still image emotion than the original FER labels. Having 10 taggers for each image enables re

CK+的人脸表情数据集，已经处理好，七种表情都已经分好类在七个文件夹中，超级方便！

-------------------------------------------------------------------------------------- The Extended Cohn-Kanade (CK+) database distribution: PHASE 1 Initial: 1st July 2010 Revised: 28th Sept 2010 --------------------------------------------------------------------------------------- In this Phase there are 4 zipped up files. They relate to: 1) The Images (cohn-kanade-images.zip) - there are 593 sequences across 123 subjects which are FACS coded at the peak frame. All sequences are from the neutral face to the peak expression. 2) The Landmarks (Landmarks.zip) - All sequences are AAM tracked with 68points landmarks for each image. 3) The FACS coded files (FACS_labels.zip) - for each sequence (593) there is only 1 FACS file, which is the last frame (the peak frame). Each line of the file corresponds to a specific AU and then the intensity. An example is given below. 4) The Emotion coded files (Emotion_labels.zip) - ONLY 327 of the 593 sequences have emotion sequences. This is because these are the only ones the fit the prototypic definition. Like the FACS files, there is only 1 Emotion file for each sequence which is the last frame (the peak frame). There should be only one entry and the number will range from 0-7 (i.e. 0=neutral, 1=anger, 2=contempt, 3=disgust, 4=fear, 5=happy, 6=sadness, 7=surprise). N.B there is only 327 files- IF THERE IS NO FILE IT MEANS THAT THERE IS NO EMOTION LABEL (sorry to be explicit but this will avoid confusion). Examples: ----------------------------------------------------------------------------------- All file name and structure should be the same. For example, an image at: cohn-kanade-images/S005/001/S005_001_00000011.png ------------------------------------------------------------------------------------ will have the corresponding landmark at: Landmarks/S005/001/S005_001_00000011_landmarks.txt ------------------------------------------------------------------------------------ FACS code at: FACS/S005/001/S0005_001_00000

CK与CK+人脸表情数据集稳定下载，里面是百度云盘下载链接。