Comments (5)
tancik
commented on June 1, 2024
We use the dataset provided here. However in practice, any natural image dataset will suffice. Ideally use an image dataset that has similar statistics to the images that you plan to embed codes into.
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zxr8192
commented on June 1, 2024
Sorry, I cannot download this dataset from your link. Could you share this dataset in other way?
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tancik
commented on June 1, 2024
I'm sorry, I don't maintain the rights MIRFLICKR and therefore cannot host and share it. I would recommend contacting the authors of the dataset for download assistance. Practically speaking, any large image dataset should be fine for training StegaStamp.
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zimenglan-sysu-512
commented on June 1, 2024
hi @allenu2 @zxr8192
have u downloaded the datasets?
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zxr8192
commented on June 1, 2024
@zimenglan-sysu-512
Sorry, I have not. I use COCO dataset instead.
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Related Issues (20)
- Hello, author, I want to train a model with the height of 1200 and the width of 800 HOT 1
- Problem with parameter setting . HOT 4
- Error code < TypeError: join() argument must be str or bytes, not 'NoneType' > while training HOT 3
- Detecting and decoding an image
- Why StegaStamp can only encode 56bits (7 characters) with ECC? HOT 1
- Detector dataset
- The encoded image can only be 400*400？ HOT 4
- Which parameter or loss is the most important for the decodability of the printed image?
- How to convert encoded_image from tensor to numpy ？ HOT 2
- Problem with parameter
- according to bash scripts/base.sh EXP_NAME，Model test after training HOT 5
- How to fine tune the model?
- Is the loss of the discriminator negative?
- How could I transform my picture like what displayed in the paper?
- what does the Cos dropoff means?
- How to train the model on 256x256?
- Secret Loss is not being optimized HOT 2
- How to embed url into imgs? HOT 1
- dataset HOT 1
- Can you provide the dataset you use?
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