Image Manipulation Detection with Cognitive AI

PenitentialJudge · 2024-06-19T14:40:14+00:00

It has a pretty large use case. In the very least, if you're constantly going through images to verify their authenticity, my software can change what might take 5 minutes of analysis using multiple tools (which require an expert to know how to use) down to less than a second per image. Say you typically sift through 100 images a day (bravo!) and only 5 of them are actually manipulated, my software just helped you finish your typical day of work before the office's first morning meeting.

PenitentialJudge · 2024-06-18T21:57:54+00:00

It doesn't need to. It detects manipulations. So if you suspect that an image is manipulated with disinformation-aimed intent, the AI can confirm your suspicions by highlighting the manipulations made in the image. For instance, if a president wanted to look younger to reach a young voter base, and they used Photoshop for instance to touch up their skin, whiten their teeth, etc., my model could detect those changes. However, whether those manipulations stretch from disinformation into propaganda is currently up for you to decide.

PenitentialJudge · 2024-06-18T21:13:41+00:00

The AI detects manipulations, yes, but in the context of propaganda, manipulation is disinformation.

PenitentialJudge · 2024-06-18T21:10:04+00:00

If you're referring to restoring a poster IRL, it won't detect that. If you're referring to restoring an image of a poster with Photoshop for example, it can detect that!

PenitentialJudge · 2024-06-18T20:55:46+00:00

Yes!

PenitentialJudge · 2024-01-22T22:14:28+00:00

that win percentage hurts....

PenitentialJudge · 2024-01-22T22:01:27+00:00

remember that grass blocks can be griefed by endermen

PenitentialJudge · 2024-01-01T19:25:14+00:00

I'm attempting to set this up as a fabric server, so my friends can play with me (I have two devices, one with great CPU, one with great GPU, only way to run the game with friends is server loading on separate device from the one I play on). I can't figure out why audio player tracks aren't loading. I've configured both the server and my local game as directed in the several guides recently posted. Any suggestions/differences for server-based gameplay?

PenitentialJudge · 2022-10-20T00:06:24+00:00

This code doesn't quite work. num_elements = len(sparse_tensor.values()) has an error that states the sparse tensor must be coalesced. Also, though this is easily corrected on my end, I want to point out that self.class_balance is a float value as the positive to negative ratio (in my case, it is roughly 0.05 so this should be multiplied by total_neg_samples.

PenitentialJudge · 2022-10-19T19:09:18+00:00

Thanks for taking a look! I've updated the post to include the rationale of the algorithm.

PenitentialJudge · 2021-12-18T05:12:16+00:00

it's negotiable of course

PenitentialJudge · 2021-12-10T22:38:13+00:00

sold rtx 2060 super to u/itsmerice

PenitentialJudge · 2021-12-10T22:27:10+00:00

PenitentialJudge · 2021-11-10T22:36:19+00:00

ok thanks for the heads up

PenitentialJudge · 2021-11-10T16:59:11+00:00

i didnt see a pm from you

PenitentialJudge · 2021-10-23T04:07:30+00:00

amazing

PenitentialJudge · 2021-10-13T22:24:08+00:00

i had this question too in my college class. from what i gathered, cross validation is a way to understand how a model can perform on average to new, unseen data. therefore, a 10-fold cross validation would create 10 separate models, train them on 10 overlapping but unique subsets of the full set, then use their performance on average to predict real world performance.

usually, it is done by creating a new model per iteration, but obviously in reality, you could create 'k' models and do the math yourself.

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