training datasets about style2paints HOT 13 CLOSED

As you wish.
400,000 images: https://nico-opendata.jp/en/seigadata/index.html
sketch maker: https://github.com/lllyasviel/sketchKeras

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I also do not believe in the power of this noisy dataset at the begining, but not after I find this excellent project based on this dataset.
https://nico-opendata.jp/ja/casestudy/neural_style_synthesizer/index.html

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@lllyasviel Hi! As I checkout the niconico dataset, there are too many 'noisy'(weird cartoon, not usable) images. So do you use all of the image as input (without label?) or do you hand-pick (or with a script?) some of the images?

Edit:
Or do you use other data sets as well?

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just download the dataset in reversed order.

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from style2paints.

you can download in reversed order and do not use all the dataset.
the quality can be relatively higher.

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Hi! I think it's okay that you collect your own data set, but at least you should be honest about what kind of data you are using.

Clearly, this open dataset you give with so many noisy data cannot generate the illustration on README. Here is a peek to the dataset_067 & dataset_066

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sketches in readme is real sketches by human and sketches from some random google search image results' sketch from sketchKeras.
It is meaningless to use sketches in database to show the model's result.

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So you hand-picked out the sketches & non-character images from data sets?

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just use noisy dataset to train and then use your favourite sketch to test your model.
good luck.

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"noisy" is important for these model including paintschainer. paintschainer even has its own way to make data noisy. noisy is fine.

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Hmm...Interesting, I will take a look after the training. Thanks anyways.

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Has anyone tried other datasets? I would like to run this locally (since website has been down for a while). Still waiting for approval from nico-opendata to access these images. Thank you

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