Large scale images dataset with both aesthetic and emotional labels
The download link contains h5py file final_aes_emo.h5
The final_aes_emo.h5 contains 3 keys: image, aes, emo
images: 22086 images
aes: 22086 2-demension labels of one-hot encoding.
[0, 1] represents the high aesthetic quality, otherwise, [1, 0] represents the low aesthetic quality.
emo: 22086 8-demension labels of one-hot encoding.
[1, 0, 0, 0, 0, 0, 0, 0] represents amusement
[0, 1, 0, 0, 0, 0, 0, 0] represents excitement
[0, 0, 1, 0, 0, 0, 0, 0] represents awe
[0, 0, 0, 1, 0, 0, 0, 0] represents contentment
[0, 0, 0, 0, 1, 0, 0, 0] represents disgust
[0, 0, 0, 0, 0, 1, 0, 0] represents anger
[0, 0, 0, 0, 0, 0, 1, 0] represents fear
[0, 0, 0, 0, 0, 0, 0, 1] represents sad
#Aesthetic Scores
The aesthetic raw scores are contained in h5py file scores.h5
Scores.h5 contains key: score
The scores are stored in 22086*11 matrix
1-22086 row: the index corresponds to the iamge index in file final_aes_emo.h5
1-10 column: ten users
11 column: total score of every image
A more detailed introduction: https://github.com/zhenshen-mla/Aesthetic-Emotion-Dataset