about the score of Attribute

[houxiaoxia1]

Hi, sir, what's the meaning of negative value in imgList*.txt? such as imgListTrainRegression_ColorHarmony.txt, farm1_429_20164497916_612b5cce64_b.jpg -0.400. Thank you.

[houxiaoxia1]

In the paper, you choose image pairs within rater, could you share the file which has the scores from different raters? Thank you.

[aimerykong]

hi, negative values means the attribute has a negatively effect on the image aesthetics. The annotation for each rater is in {-1,0,1}; given annotation of five raters, we average their annotation, therefore, there are values inbetween [-1,1].

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On Tue, Apr 3, 2018 at 5:14 AM, houxiaoxia1 ***@***.***> wrote: Hi, sir, what's the meaning of negative value in imgList*.txt? such as imgListTrainRegression_ColorHarmony.txt, farm1_429_20164497916_612b5cce64_b.jpg -0.400. Thank you. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#16>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AGKZJOl8-b_tIJQWKKOQWD7b_trmKiFaks5tk2eMgaJpZM4TE9gM> .

[aimerykong]

In the following link, you can find read the ".mat" file for all the annotations, including raters' ID. Then you can generate training pairs in your way. https://drive.google.com/drive/folders/0BxeylfSgpk1MOVduWGxyVlJFUHM

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On Tue, Apr 3, 2018 at 5:22 AM, houxiaoxia1 ***@***.***> wrote: In the paper, you choose image pairs within rater, could you share the file which has the scores from different raters? Thank you. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#16 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AGKZJBsw-rjMYWO1b-Y-ixEGtr91r5Ehks5tk2mHgaJpZM4TE9gM> .

[houxiaoxia1]

Thank you!

[houxiaoxia1]

when I trained a resnet to predict the score of a picture, I only got rank correlation statistic 0.56 rather than 0.6+. Could you tell me how to choose image pairs? I choose them with a interval of 0.15, how about you?