CNN年龄、性别、表情识别

CNN年龄、性别、表情识别

http://www.openu.ac.il/home/hassner/Adience/data.html#agegender

Files for this benchmark are available under the subdirectory named:
AdienceBenchmarkOfUnfilteredFacesForGenderAndAgeClassification

The directory contains the following files:

• faces.tar.gz (936M) - Face images, cropped
• aligned.tar.gz (1.9G) - Face images, cropped and aligned using our2D, in-plain alignment tool
• fold_0_data.txt - fold_4_data.txt - text files with indices to the five-fold cross validation tests using all faces
• fold_frontal_0_data.txt - fold_frontal_4_data.txt - same as above, but using only faces in approximately frontal pose

These files contain also the label information for each of the photos

• README.txt provides details on these text files
• LICENSE.txt provides license information for the face images in this collection.

Download

The data is stored on our FTP server: agas.openu.ac.il

Alternatively, direct access to the download directory is available through:
http://www.cslab.openu.ac.il/download/

参考资料：

http://www.openu.ac.il/home/hassner/projects/cnn_agegender/  Age and Gender Classification using Convolutional Neural Networks

Caffe model files and additional data in the zip filecnn_age_gender_models_and_data.0.0.2.zip (~86MB)