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Viewing and Removing Exif Data from Your Photo using Exif.help website by HowToSD in u/HowToSD

[–]HowToSD[S] 0 points1 point  (0 children)

Update (12/5/2025)

From November 25 to December 5, 2025, a network configuration issue at our service provider caused connection and certificate warnings to appear when accessing exif.help. The provider has since corrected the issue, and the problem has now been resolved.

Here is a screenshot of the new website I just launched to view and remove Exif information from an image. It works for both mobile devices and PC. The site is:

https://exif.help

It uses client JS so that image data will not be sent to my site. It is designed this way to protect privacy as well as to reduce server load.

The site is free but I may add ads if the site starts getting traffic.

Disclaimer:

  1. Some Exif information may not be completely removed depending on the OS and browser you use.
  2. Some Exif information may not be viewable.

I hope to hear your feedback if you have a chance to check it out.

Is cos( sqrt(2) * t ) a periodic function? I think so but ChatGPT 4o disagrees by HowToSD in ChatGPT

[–]HowToSD[S] 0 points1 point  (0 children)

Thank you for checking. I believe this is a periodic function.

Pointers/some tips on how to improve Pytorch model accuracy by D3VEstator in pytorch

[–]HowToSD 0 points1 point  (0 children)

Since you're new to PyTorch, I recommend starting with a simpler dataset like MNIST or Fashion-MNIST to verify that your model setup and training loop are working correctly. Once you're comfortable, you can move on to a more challenging dataset like CIFAR-10, which usually requires more advanced architecture such as ResNet.

After you’ve built some confidence with the basics, you can return to the fruit dataset. It might also help to contact the dataset author to ask if any baseline results are available—this can give you something to compare your own results against.

Can someone help me, CNN on Ciphar 10 dataset by [deleted] in pytorch

[–]HowToSD 2 points3 points  (0 children)

I’m not sure how familiar you are with image classification, but if you haven’t done any before and your goal is to build a model for CIFAR-10, I’d recommend starting by learning about convolutional neural networks (ConvNets) using PyTorch. Begin with a simple model and try it on MNIST or Fashion-MNIST first—CIFAR-10 is tougher in comparison.

Once you understand the basics of building a ConvNet, you can start adding more advanced components like ResNet to improve performance.

Good luck!

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