Comments (6)
titu1994
commented on June 3, 2024
It can be found on the websites for it, via the Reddit download links.
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ArsenLuca
commented on June 3, 2024
yes, I can find the website in Reddit, but due to some reason in China mainland, I can not open the links.
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titu1994
commented on June 3, 2024
Well, that's were I downloaded it from. Perhaps try the academic torrents website if it is available legally (I doubt it should be a problem) in China. I can't host this dataset since it is nearly 31 GB in size.
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ArsenLuca
commented on June 3, 2024
ok，I‘ll try other ways @titu1994
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tfriedel
commented on June 3, 2024
I've uploaded a version with images resized to 256x256 to google drive. It's about 5.7 GB.
Note the images are stored as jpg with 95% quality, so there are some artifacts present which you wouldn't have if you resized the original jpg images. I hope it will not matter much.
I uploaded it to google drive because I'm trying out how feasible training on google's colab platform is. They offer their version of Jupyter notebooks with free GPU. An instance can run 12h.
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ArsenLuca
commented on June 3, 2024
@tfriedel That's cool! Thank u very much
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Related Issues (20)
- when i train model on TID2013 dataset,something went wrong HOT 8
- Weight freezing in train*.py HOT 2
- I've computed histograms of the ground truth and predicted scores HOT 5
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- Regarding results
- How to set arguments: HOT 1
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- errors when i run extract_inception_features.py HOT 7
- parse data function-image augmentation HOT 4
- A fundamental question! HOT 6
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- How to feed the y_labels or scores from the images to model?
- Van Gogh's Mona Lisa is only 4.266 points??? HOT 1
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- Performance issues in the program HOT 2
- Performance issues in utils/data_loader.py (by P3) HOT 1
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