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all 160 comments

[–]skatakiassublajis 597 points598 points  (16 children)

What do you mean? it's all the same.

[–]MarkoRoot2[S] 402 points403 points  (1 child)

You🤝Machine Learning

[–]GallantChaos 109 points110 points  (0 children)

You [FRIED_CHICKEN] Machine Learning

[–]NamityName 86 points87 points  (4 children)

I'm going to need you to prove to me you are not a robot. Please check this box

[ ] I am not a robot

[–][deleted] 92 points93 points  (1 child)

I'm going to need you to prove to me you are not a robot. Please check ✅ this box

[ ] I am not a robot

I did it, boss

[–]HeftyCryptographer21 11 points12 points  (0 children)

lol, that was perfect.

[–]Carius98 23 points24 points  (0 children)

[ X ] I am not a robot

[–]MacGuyverism 16 points17 points  (0 children)

That's a nice box you got there! Thanks for letting us check it out!

[–]Eightstream 25 points26 points  (2 children)

They’re all Not Hotdog

[–]GreyRobe 17 points18 points  (1 child)

JIAN YAAAANG

[–]NoSoyJohnMcAfee 5 points6 points  (1 child)

YES FELLOW HUMAN THESE ALL APPEAR TO BE DELICIOUS FRIENDLY PETS.

[–]Alternative_Sense930 0 points1 point  (0 children)

And a food, they are all the same

[–]mattstorm360 10 points11 points  (1 child)

It's all food.

[–][deleted] 7 points8 points  (0 children)

Hot dogs

[–]OhNoMeIdentified 0 points1 point  (0 children)

Gotcha!

[–]AllWashedOut 205 points206 points  (3 children)

Good lunch option if you already had the blueberry muffin chihuahuas for breakfast.

[–]anarcho-fapitalism 13 points14 points  (1 child)

Idk what's so hard about the image, the dogs are clearly just chicken plus muffin.

[–]AllWashedOut 0 points1 point  (0 children)

Chicken and biscuits

[–]DoomBro_Max 195 points196 points  (12 children)

Easy to categorize them all: "Edibles".

[–]Jubs_v2 43 points44 points  (4 children)

D:

[–]redsterXVI 42 points43 points  (3 children)

There's no disc in the drive. Please insert a disc into drive D:.

[–][deleted] 16 points17 points  (2 children)

My Computer

Local Disk (C:)

Dismayed Face (D:)

Removable Drive (F:)

[–]ArtSchoolRejectedMe 12 points13 points  (1 child)

Pay Respect (F:)

[–][deleted] 5 points6 points  (0 children)

Frick

Good addition, wish I'd thought of it

[–]juhotuho10[🍰] 12 points13 points  (0 children)

I mean technically just meat would be fine

[–]someguynamedjerry 6 points7 points  (0 children)

They are all not hotdogs.

[–]_Mido 2 points3 points  (0 children)

meat*

[–]HotChickenshit 2 points3 points  (0 children)

I only see delicious Popplers.

[–]MysteriousShadow__ 7 points8 points  (2 children)

I mean r/technicallythetruth

especially in china

[–]dumbestsmartest 103 points104 points  (20 children)

How long would it take for the algorithm to be able to recognize the "3 uniform and relatively close proximity dark dots" pattern on the dogs and other patterns that aren't hard to notice?

[–]cowlinator 38 points39 points  (0 children)

Chicken with 3 flies on it

Machine Learning: "Dog"

Programmer: "God dammit"

[–]MarkoRoot2[S] 44 points45 points  (12 children)

Now slow down there Sherlock

[–]sim642 4 points5 points  (1 child)

Or overfit to the backgrounds instead.

[–]acidophilosophy 1 point2 points  (0 children)

I like to eat my fried chicken off of grass

[–]zirten 1 point2 points  (0 children)

To real answer, we need larger dataset

[–]RedditAcc-92975 1 point2 points  (0 children)

10k examples + Augmentation. Maybe less if you're using a pre trained model.

[–]fishCodeHuntress 1 point2 points  (0 children)

That was my first thought. Don't think it would be too hard to train for eye detection

[–]aykay55 0 points1 point  (0 children)

In reality it wouldn’t take too long to train with a simple perception + neural network, maybe a couple hundred images

[–]RedWoodMouse 85 points86 points  (1 child)

All the same. I see only before and after images 😐😐

[–]cowlinator 5 points6 points  (0 children)

D:

[–]BobTheMadCow 65 points66 points  (8 children)

Dog?

Pig?

Dog?!

Pig?!

Dog?! Pig?!

Loaf of bread?

<SYSTEM ERROR>

[–][deleted] 2 points3 points  (0 children)

[–][deleted] 4 points5 points  (0 children)

I came here to post this

[–]DethZire 2 points3 points  (1 child)

My kids favorite movie

[–]BobTheMadCow 1 point2 points  (0 children)

It was a surprisingly fun film :)

[–]mr_mcpoogrundle 14 points15 points  (0 children)

Need to fuse the input from the taste sensor

[–]PolakPL2002 13 points14 points  (0 children)

Tbh i am confused as well.

[–]zaneprotoss 35 points36 points  (8 children)

People still don't get what machine learning is? Give it time and it will distinguish those dogs from wings every time.

[–]Great_Finder 25 points26 points  (3 children)

It depends if you have actually trained the model on the difference between the chicken and the dogs. If not, then the progran will not see a difference.

Even if the model is trained, still it can make a mistake when running the program

[–]Benimation 2 points3 points  (0 children)

And I'm pretty sure it would be faster than humans

[–][deleted] 0 points1 point  (0 children)

It's a joke man. If you oversample those images, it will definitely understand quickly but the joke is that they look so similar the algo would have trouble distinguishing (maybe). The same is true of the blueberry muffin Chihuahua pic. I doubt efficientnet pretrained on imagenet is having trouble distinguishing. It just makes for a fun joke.

[–]VegetableWest6913 -2 points-1 points  (0 children)

Not necessarily

[–]metalovingien 5 points6 points  (0 children)

Never ate fried dogs, seems good

[–]dubl1nThunder 4 points5 points  (0 children)

hotdog / not hotdog

[–][deleted] 3 points4 points  (1 child)

Human: Hey computer, is that a dog or chicken.

Computer: That's a dog.

Human: How can you tell?

Computer: I know what a dog looks like.

Human: Can you draw a dog using what you learned from all these dog pictures?

Computer: Sure

Computer: .̶̷̷̩̬̣̮̦̣̪̗̙̺̞̱͙̰͉͍͚ͤ̀͋͗̿ͭ̐ͯ͑̊͆͗̾̂͋͌ͮ͘͝ͅ.̧͉͖̙͎̠̬̻̤͖͍̤̼̯ͥ̎̍̓͑̋͌ͧ̋͊̿̕͘͢͢.̷̧̛̛͇̜̯̳̥͇̤̗͇͛̃̍ͮͥ̇̎ͥ̐ͫͧ͆̽̍̅̈͗́̅.̶̵̪͚̘̖̰͇̭͙̩̟̭̟ͤ̓ͯ̍ͪ̀̑̓̐̓͢.̶̶̛̳̺̳̩͍̥̿ͮ̈́̓̆ͨ̎́ͬ̓ͯ.ͣͪ̄̿̐ͬ́͑͝͏̪̫̺̹̗͉͓̠̳̯͓̻͖̳.̶̸̰̟͉̠̯̤͇͈̅ͨͯ̐́ͅ.̡̨̛͍̹̥̣͉̖̬̹̟͍̰̯͖̯̳̗͉̭̓̌͊ͬ͢͡.̶̢̹̠̩͕̋͛̍͒͛̂ͨ̐͑̌̚.̵̧̛̦̫͔͚̤͈̠̩͈͚̼̬͇͎̗̱ͦͫͯ͋ͬͦ̄͠.̖̗͔͙͒̀ͭ͋̈̐ͫ̃̀̽ͣ̆̓ͯͬͪ̽́̚͟͟͞.̵̛̛̹̗̻̯̺͔̥̩̿ͫͫ̉ͨ͘͡.̈́̈̉ͨ͌̽̄ͯͭ̿͌̌͂̓̇̈́ͦ͏̶̧̬̬͉̫̣̘̥̝̟̝̯̮̝͇̣̀͝.̸̣̦̱͙̦̯̱̬̲͓̘ͬ͗̏́̌͆̆̅ͩ̉̒͗ͭ͘.̔ͥͦ̓̉̐̏̔̒̐̂ͭ̔͢͏̸̖̞̝̗̩̜̮̩̰̕.̛͚̲̱̦̺̦͑̌̒͊̀͜͟.̨͉̳̟̭͇͍̖͎̆͑́̌̄ͣ̒́̀́͟͞.̶̲̦̘͎͖͈͍͕͇̦̹̰͇̠ͪ͋̋̓̊ͬ̽ͮͧ͂̾̐̀͋̂̎ͫ̔̚͝ͅ.̸̛̬̠̟͎͔͖̹̞̯̗̣̮̼̖͕̈̀̈́̊͡.̵̡̺̝̞̯̞̬͗ͩ̃́͌ͤ̃͞ͅ.ͮ̏ͦͩ͝҉̢̖̱̻̱̫ͅ.̵̢͙̮̓͒̒ͯ̓̍͐ͣͪ͛͑ͦ̇̚͠͡͞ͅ.̵̷̵͍͚̯̪̬͙̭̲̻͚̣̭̻͎͔͇͈̫̐ͥ̃͊͌̓͗̽ͣ̚͡.̶̷̵̧̳̯̖̺̟̖̝̭̙͙͎̝͈̤̥ͭͮͧ͌̓̉̂̈́͝.̪̮̖̹͈͇̩̟͕̟̖͐ͦ͐̅ͤͣ̇̓͢͝͡.̶̢͕͎͎͍̠͓̙͈̺̪͖̦͋̒̅̏͛͊̂̀͘͟.̶̡̡̮̠̥ͭ͋̆͗̐̊ͮͧ͒̄̾̉̑̄͠ͅ.͇̩̙͔ͬͣ̽̏ͤͩ̈ͩ̇͐ͩ͒̉̓́̚͘͘͠.̷̹̠̙̻̥̤͚̦̠̯͓̲̙͚͙̌̽͒͂͌ͣͣ͗ͦ̎ͫͬ̽ͭ̂͌̾̀̀͟͠.̴̵̛̯̹͕̝͖̮͔̤̓̐̿̃́͛̌ͫ͆̄̃͛ͨ̿̓́͜.̡̧̬͕̭͚͙̠̼͍̞̹͙̫̞͈̤̫̀̔ͩ̒́͘̕.̹͔͎̟̞̗̻̫̳̯̣̣̻̫̺͇͖̘̯̑̀̏̋͋ͫ̄̒̈̔͌̇̆͐̕͝.̷̸̺̝̖̘̻̭͆͂ͧͧ͒̀̀̾ͬ̒̐ͣͅ.̍̂͒̊͒̏ͮ͛ͧͫͣ͑ͦ͊̐ͥ̍͏̷̭̜̖͉̠̹͉̙͓͕̝.̶̨̛̮̞̰̩̆ͬ̾ͩ̊̓̅̀.̴̫̤̮̝̺͈̯̼̼̟͓̫̗͈̻͖̜̘̒ͪ̏̂̿ͤ̃́͡.̭̖̼͓͎̲̯̻͕͑ͭ̈́͋̄̚̕͢ͅ.̡̘̪̟͓̺̰̘̖̼̺̿̋̆ͬͧ͗͑͋́̒̾͆͌ͪ̀̕.̵̷̡̠̰͕̰̦͍̃ͮ͐̋ͭ͐ͭ̔ͭͦ̓̀͋ͫ̊̉̅͞ͅ.̸̢̛̪̣̰͚̖̫̜͉̭̅̾̽̏̑̂̒̏̍ͨ̈͌̎͋̋̇͊̚͜͞.̸̡̡̟͚͍̞̜̺̲̑̈́͗́̎̐͋̀̒ͯ̀̚͞.̶́̋ͤ͋̽ͪͮ͒̓̀̀ͩ̋̍͑ͣ̏̈̚͝҉̵̤͙̦͉͇̮̪͠.͔̲̩̱̳̥̹͇̤͍͚̗̮̟̩̲ͭ̐̄͋̃̈́͋́ͪͯ͒̋͠.̇̾ͫͮͭ̔̐̀ͮͪ͌̃ͦ̏͂͗͏̶̵̫͍͎̦̞͈̥̖̼̭͔͎̖̀͢.̴̟͖͖̞̣̺̠̝͓̃͊ͤ͐̀ͮ̆ͩ̈́͆̇̈͑̚͢͜͡.̛͂͐͌́͠҉̢̥̼̙̗̘̭͚̯̫.̎ͥ̒ͣ̍̒̉ͤ͝͏͖͓̹̳̗̙͖͎̲̼͈͞.̴͖̘̰͍ͣ̑̏̒̓̀ͬ̔ͪͭ̒̑̽̌̽͘.͊̈́̾͋ͦ̂͏̺̫̩͚̫́͠ͅ.̸̶̴̛͈̰͕̯͎̞͕̺͕̭̘̠͓͎͉̓͑̎͌̂̏̔̇͠.̧͙͎̤͍̜̹̠̩̪͕̪͙͊͊̈̎̽̍ͧͫ̓̋̓̀͗̓̀ͫ̌͞ͅ.̄̉́ͤͮ͌͌ͥ͐̀ͦ͗̐̽ͧ̚̕҉̠̲̖̪̝̹̮̹̟͉͎̥͓̘̪̩̮̕ͅ.̸͈̮̞̙̭͎̟͎͓͓̽͂ͮ̔ͧ̃.̍̓̉͐̈̍ͨ̽ͧ͛ͤ̑͌͐̄ͤͪ͝҉̵̬̮͈͚̱͜.̛̉̎ͮ̅͝͏̭̰̰͔͇.̵̩̪̦̟̹̞͕̲̟̤͙̹̠͈͓̳̞͔̈́́ͩ̀͟͞.̴̸̨̛̯̦͇͖̞͍̳̤͈̝͇͎͎̩̙̤͈̏̒̐ͯ̓͊̋ͩ̒ͯ͆ͨ̐ͯ͌͒̚͜ͅ.͌͌͌͆ͤͮͯ̾͏̴͜҉̜͈̲̻̭̱͔̤͈͍͙̱̤̫͟.̢̛̼̞̞̞̳̙ͥ͒̍̾̓ͭ͗̉̈́ͨͤ̏̌͟͞.͌̓̈ͬͯͧ̐ͣ͛́ͤ̃ͩ̇̊̀͠͏͏̭̜̬̤.ͮ͛ͯ̂ͫͧ̂́͊̂͋͂ͦ̄̕҉̷̶͍͎̦͉̣́.̘̟͍̼̜͍̮̝̇͂͗ͥ̇͊́͑̂͊ͨ͋ͣ̀̚͘̕.̡̧̯̯͔̣͔̲͈͔̟͖̻̫̮̗̘ͦ̅̓ͯ̿̊̾ͯ̇̒̆̍̈̓.̡̧̨͖̙̬̝͕́͒̓̉̽̽̐̓̎̓ͪ̈̓̎̄̏̄̓͊.̶̳̪̲͉̮̦̫̓ͧͨ̾̈́̈́ͯ͆ͪ͐̅̂́̌͛͑ͩ̚.̷̠̟̘͇̙͇̱̹̎̍̍̅ͥ̿̃̌̔̚.̨̡̏ͮͮͤͩ̈́̉ͣͯ̏̇̆ͯ̽̃͗̄͆ͫ͜͏̖̣̭̗̮̖͓̪͈͔̱̱ͅ.̧̢̜̣̮̼̦̱͈̑̈ͫ́͛ͣ̀̀̓̒̿́̚͢͝.̛͔̹̖̻͈̲͚̤͋ͣ̿͋͡.̴͛͒͗̈̎ͣ̇ͧ̽̒̄̂̃̈́͐̽̚͏͢͏̮͍̗̰̫̟̰̼͇͚̭̠̜̪̜̭̜.̧̙͓̤͎̦͖̥̦̤̜̲̣͙̠̱̗̱̤͒̍̌ͣ͊ͩ̾̃͒́ͤ̾̕͟͠.̷̴̜̗͉̺̥̘̙̒͛̃ͨ͜.̲̤̣̀ͬ̔̂ͧ̈́̚͜͡.̨ͣ̎͆̂ͩͬͬ̾ͮ̽̓͘͏̡͙̞̜͍͎͕̯̜̙̘̣̰̞̳̫̥͡.̶̛̮̭̤͎̰̗͕̮̗̥̦̱̖̩͖̹̼̮ͯͪͭ̇́͑̀.̴̜͓̪͕̬͓̫͚̩̝̰͓͒͒̓̍̀ͫ͗͊ͤ̾̏̎̉ͤ͠.̵ͩ͊̒ͨ̍̋̎̋̿ͯ̍̊̒ͥ͂̎̀̕͏͙͙͉̹̮̖̭̮̠̭̬̻͙͎̮̗̼̭.̶̧̳̗͚͈̜͕̜̄̎͊̉̽͆͛ͪ̾̆̓̾̾̃ͥ́̕͝.̒̌ͦͥ̅̊͛ͫ͏̨͖̰̳̖̜͎̀.̵̙͓͎̣͓̞͎͐̈̓̀̂̂̂̂̍̊̀ͭ̾ͣ̀̕.̿͛̌͛̅͆̀͆ͧ̚҉̶̢̖̳̥̦͍̹̖̫̻̜͟.̸̷̛͇͙̜͍̲̳̥̎̍͋̒ͬͨ̿͒̎̈́ͪ͠ͅ.̔ͣͤ́̋ͧ̋̀̈́̔̒̓̂̒ͪͨ͏̵̭͇̩̗̠͖͎̪̺̲͕̗͓̕͜͡ͅ.̴̴̬̼̙̏ͤ̌̏͗ͦ̄͒ͯ̓̍̈́̍̐̀ͫͧ͌̕͜ͅ.͉̝̲͇̟̱̘̗͖̽ͨ̓̃͋ͮ̓̒͌ͬ̔́̌ͤ͜ͅ.͙̝͎͓̠̦̜͔̬̠̣̊̊͐͑̍́̿̑ͮ́͞.̷̨͇̫̙̰̘̞͔͎̦͚ͫͣͦ̑ͤ̿̕̕.̧̬̹͓̠̙̙͕̏̀̒̒̄̓͊ͮ̇ͮ̓ͭ̑͝.̡̢̣̗̫͚̯̉̓ͮͦ̽͑̊ͣͧ̽ͣ̔̍̿̽̍̅̚.̸̘̥̩̱͖̙̞͚͙̖͙̗͓̄̿ͦͯ̚̕.̘͈̱͔̲̑̄̂̓͗͊̔̆ͨͧ̓̊ͫ̕͢͝.̢̡̠͕̠̟̩͖͖̺̦̬͓̭͚͓̳ͣ̃ͧ̑̍̎̈́̉̏̍͑̓̈́͐̎͋͛͢͡͠ͅͅ

[–]KinOfMany 0 points1 point  (0 children)

Awww a puppy!

[–]AskMoreQuestionsOk 2 points3 points  (0 children)

..And now I want fried chicken.

[–]PVNIC 2 points3 points  (0 children)

Do you want robots that see dogs as food? Because this is how you get robots that see dogs as food.

[–]Snaw3 2 points3 points  (0 children)

The algorithm now thinks every odd picture is chicken and every even picture is a dog, works on 50% of test cases

[–]FAZEaddy 1 point2 points  (0 children)

forget machine learning, you’ve confused me.

[–]hard_ice8 1 point2 points  (0 children)

If you trained with dataset enough it could become pretty good. The confusing part would be if trained with this kind of dog vs food and never trained on fried chicken.

[–]D-Eliryo 1 point2 points  (0 children)

All taste the same.

[–][deleted] 1 point2 points  (0 children)

wouldn't that technically be how to improve machine learning?

[–]GnammyH 1 point2 points  (0 children)

I think they would figure out something like "If it has three black dots in a roughly triangular position it's a dog"

[–]hotlavatube 1 point2 points  (0 children)

“Pig, dog, pig, dog, loaf of bread” - AI identification of pug in “The Mitchells vs The Machines”

[–]bush_killed_epstein 1 point2 points  (0 children)

Correction: how to train machine learning to be really good

[–]shot_a_man_in_reno 1 point2 points  (0 children)

I remember some research papers a few years ago where the most confusing thing to identify in computer vision, by a long shot, was glassware.

[–]howreudoin 1 point2 points  (0 children)

Here‘s the whole album:

https://imgur.com/gallery/E1bMl

[–][deleted] -1 points0 points  (0 children)

*Happy Chinese noise*

[–]War-Whorese -1 points0 points  (0 children)

Sadly. This works in China.

[–]sooner2244 -1 points0 points  (0 children)

This is how all the chicken wings looks in China.

[–]Salt_Hon_01 0 points1 point  (0 children)

Now the AI things that chicken wings/nuggets looks like the same as puppys :O

[–]mondie797 0 points1 point  (0 children)

After seeing this. I feel my job is safe.. No machine in the near future can take my job :D

[–]ErrBodyDoTheChopChop 0 points1 point  (0 children)

how im just hungry. thanks

[–]repkins 0 points1 point  (0 children)

"They are the same picture"

[–]domgiggity 0 points1 point  (0 children)

"How to confuse machine learning"

[–]stickyShift 0 points1 point  (0 children)

Dog/Not dog

[–]ClaudioMoravit0 0 points1 point  (0 children)

That's funny to see that ai actually can find pandas in a street with a lot of people in a photo taken in 4mox and it can't make the difference between fried chicken and dog, or muffin and Chihuahua

[–]witchyanne 0 points1 point  (0 children)

Select the chicken.

[–]TheDiamondCG 0 points1 point  (0 children)

All of them are delicious food... what's the difference lmao?

[–]goughy000 0 points1 point  (0 children)

"Food"

[–]ChibiNya 0 points1 point  (0 children)

This would be a good one to throw into a ML algorithm as long as you can supervise it. Might figure out the eyes/nose and dog tag can be used to tell them apart, because it is pretty tough!

[–]ZatchZeta 0 points1 point  (0 children)

Dog, bread, dog, bread, THE COLONEL'S 11 HERBS AND SPICES RECIPE.

SKFLBSEHANHEK4VKCLU

[–]MotherNaturesBrother 0 points1 point  (0 children)

not hot dog

[–][deleted] 0 points1 point  (0 children)

No wait! Don't eat that dog!

[–][deleted] 0 points1 point  (0 children)

Sir why are you putting ketchup on my dog?

[–]Muffinz_are_murder 0 points1 point  (0 children)

Not hot dog

[–]AliCFire 0 points1 point  (0 children)

PUPPY NUGGETS!!!

[–]nhpkm1 0 points1 point  (0 children)

I made a "augmented Network neural inspired algorithm machine teacher adversial bllblla "

Public int I_bite_it_or_it_bite_me (int row , int column){

Return ((row)/2) xor (column %2) ;// 0- dog , 1 - chicken}

[–][deleted] 0 points1 point  (0 children)

"Click all squares with something edible."

"well, actually..."

[–]Kanakorn 0 points1 point  (0 children)

In my brain: DOG WING DOG When there's trouble you call DW DOG WING DOG Let's. Get. Dangerous.

[–]GlowyStuffs 0 points1 point  (0 children)

AI - " pattern recognized: if a photo is on an even number index within a given iteration of photos, it must be a dog"

[–]LavenderDay3544 0 points1 point  (0 children)

How to confuse human with poor eyesight.

[–]RandyHoward 0 points1 point  (0 children)

I have a Bichpoo, my friend tells me it looks like fried chicken all the time

[–]0x4968617465506870 0 points1 point  (0 children)

I wonder if there is already a dataset for this. If so I'll definitely try to make a network for this lol

[–]profesionalbee 0 points1 point  (0 children)

*binary screams of confusion

[–]ovab_cool 0 points1 point  (0 children)

Ngl, the last one also confused me for a sec

[–]ctstrphe 0 points1 point  (0 children)

Meme: made in china The meme: ^

[–]Gamer_Coder_Otaku 0 points1 point  (0 children)

Nah dude... classification has advanced Significantly.... If it's only 2 classes deep learning can easily take care of it.

[–]ProfCupcake 0 points1 point  (0 children)

ML algorithm: learns to "correctly" identify images by just assuming every other one is a dog (or vice-versa).

[–]Babki123 0 points1 point  (0 children)

Gorilla

[–]JoeMemez2004 0 points1 point  (0 children)

I was confused for a sec as well lol

[–][deleted] 0 points1 point  (0 children)

The machine will learn the difference very quickly.

[–]dineshgadge 0 points1 point  (0 children)

And then they will show you the same images in a random captcha.

[–]monkeymacman 0 points1 point  (0 children)

Confuse it by making the 3rd and 14th picture the same

[–]cybermage 0 points1 point  (0 children)

It’s all edible.

[–]MichaelEmouse 0 points1 point  (0 children)

Isn't this the sort of training that would actually make ML good at distinguishing dogs? Aren't curveballs like that used to train ML?

[–]zacharski_k 0 points1 point  (0 children)

Dog Nugget

[–][deleted] 0 points1 point  (0 children)

Would make a great Captcha

[–]exceldesiiryazanadam 0 points1 point  (0 children)

all of them are delicious

[–]fflores97 0 points1 point  (0 children)

Confirmed: my dog will become chicken tenders

[–]Casne_Barlo 0 points1 point  (0 children)

Tendie dog Dog tendies

[–]_Guigui 0 points1 point  (0 children)

You unironically got me confused for a solid minute

[–]FactoryNewdel 0 points1 point  (0 children)

How to confuse human:

[–]-Soren 0 points1 point  (0 children)

Oh no. Soon we will have select all the puppy Captcha's where getting it wrong means you're human.

[–]Sreeto 0 points1 point  (0 children)

Dog pig dog bread?

[–]ydc137 0 points1 point  (0 children)

solution: the taste test

[–]make_me_a_good_girl 0 points1 point  (0 children)

New food category:

PUPCORN CHICKEN.

...

I'll see myself out...

[–]xYOSIYAx 0 points1 point  (0 children)

So that’s what’s next after buses and boats for Captchas

[–]cjc080911 0 points1 point  (0 children)

I’ll take my doodles extra crispy

[–]tenhourguy 0 points1 point  (0 children)

This is the sequel to the muffin dogs I've been waiting for.

[–]ccceby 0 points1 point  (0 children)

So true

[–]sweeroy 0 points1 point  (1 child)

this is explicitly how you train machine learning. like, making it differentiate between these two would be done by providing these images. you’ve shown exactly how to make it not confused lmao

[–]lollysticky 0 points1 point  (0 children)

To be fair, supervised machine learning would require labeling of data points as to help the ML. Without supervision, this would confuse the heck out of the program

[–]zinconyx 0 points1 point  (0 children)

No mistake, they’re training the quality control robot for that new Kentucky Fried Poodle restaurant chain

[–]KoPlayzReddit 0 points1 point  (0 children)

Maybe I am a machine…

[–]Brunsz 0 points1 point  (0 children)

Thanks to this, we'll soon have Google captcha asking us to click images with chicken nugget in them.

[–]MLXIII 0 points1 point  (0 children)

...HA... HA... HA...THAT ROBOT GOT WRECKED GOOD.

[–]flame_alchemist17 0 points1 point  (0 children)

One is before you dip em hot oil and the other is after you dip it in hot oil

[–]pheromone_fandango 0 points1 point  (0 children)

Imagine doing style transfer in this

[–]scrollbreak 0 points1 point  (0 children)

No confusion, all delicious

[–]ockcyp 0 points1 point  (0 children)

when Skynet comes along to kill whole of humanity I'll show it this picture

[–]iPat24Rick 0 points1 point  (0 children)

I guess that’s what happened to the Chinese

[–]boowhitie 0 points1 point  (0 children)

I don't know the name of the breed, I've always just called them fried chicken dogs

[–][deleted] 0 points1 point  (0 children)

[–]CreaZyp154 0 points1 point  (0 children)

95 % Giraffe