Can this model be used to extract features of anime pictures？ about deepdanbooru HOT 6 CLOSED

DeepDanbooru model returns 8k of (0.0~1.0) scores, so you can use this vector as feature vector. But it may be noisy and has too high dimension, so you may need something post-processing like PCA.

from deepdanbooru.

Yes, I noticed that it seems to output features vector of 7722 dimensions.
Will there be any problems if i use keras vgg16(imagenet) model(Exclude fc layer) to extract the features of anime pictures?
It will output 512 dimensions feature but it seems that the imagenet dataset only contains real photos

from deepdanbooru.

It doesn't matter what model you use, but I recommend to try DeepDanbooru model (resnet based) first because it is already trained and released so you can freely use it. Also DeepDanbooru is trained by using anime-pictures, unlike popular real-photo based models.

from deepdanbooru.

Thanks for your answer.
I prefer to use the DeepDanbooru model, but I understand that dimensionality reduction methods such as pca need to load the entire matrix, it is expensive.
Is there some better dimensionality reduction method?
The pre-trained VGG16 model still needs dimensionality reduction, because it is expensive to calculate the similarity of 512-dimensional vectors in tens of millions of pictures.

from deepdanbooru.

Autoencoder may be the answer I think.
https://www.tensorflow.org/tutorials/generative/autoencoder#first_example_basic_autoencoder

from deepdanbooru.

Thank you for your help. I will research it, Forgive me I am not good at deep learning

from deepdanbooru.