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Part of a series on AI / Artificial Intelligence. [View Related Entries]


About

AI Emotion Detection is a series of images that were put through Microsoft's experimental Project Oxford, which was touted as a way to be able to use AI to tell what emotions are being expressed within a picture. The project saw a lot of old memes, as well as original pictures, used to try and tell what emotions were being given off, before the project was officially scrapped, causing the remnants to be the last of their kind.

Origin

At Microsoft's Build2015 press conference the company showed off the next step in AI image vision technology, showcased by having Project Oxford be able to tell if two faces looked similar to each other, or compile together a list of similar looking faces. This was revealed early in March 2015, but it wasn't until November 13th, 2015, that people really started to pay attention. On November 13th, Microsoft added emotion detection, meaning that the AI would attempt to read the emotions presented on the face of a picture, and would then give an emotional breakdown of the face, with an early example of this in action[1] being Success Kid, whom Microsoft labeled as being more angry than happy or successful (shown below).

Anger 0.98752 Contempt 0.01037 Disgust 0.00077 Fear 0.00000 Happiness 0.00001 Neutral 0.00072 Sadness 0.00062 Surprise 0.00000

Spread

On November 19th, 2015, a now deleted redditor[2] uploaded an image of Sheldon from The Big Bang Theory with a grin on his face. The emotion panel to the right indicating his happiness mixed with a small tinge of surprise were accurate enough for Redditors to give the post over 100 upvotes in seven years (shown below).

Anger 0.00000 Contempt 0.00000 Disgust 0.00000 Fear 0.00000 Happiness 0.99514 Neutral 0.00000 Sadness 0.00000 Surprise 0.00486

The idea of taking existing memes and throwing them through the emotion detection was the main brunt of exploration of this technology, with a Me.Me[3] post uploaded on February 24th, 2017, by the site admins shows Michael Rosen in the middle of one of his famous sketches, paused to show his face in the middle of an expression that the AI detected to mean 99.9% happiness (shown below).

No NUM Anger 0.00000 Contemp10.00000 Disgust 0.00000 Fear 0.00000 Happines$0.99999 Neutral 0.00000 Sadness 0.00000 Surprise 0.00000

Various Examples

Anger 0.00002 Contempt 0.00012 Disgust 0.00002 Fear 0.00139 Happiness 0.00002 Neutral 0.00222 Sadness 0.00000 Surprise 0.99621
Anger 0.00264 Contempt 0.00317 Disgust 0.00001 Fear 0.00000 Happiness 0.00079 Neutral 0.99336 Sadness 0.00003 Surprise 0.00000
Anger 0.16400 Contempt 0.00477 Disgust 0.08643 Fear 0.05372 Happiness 0.30280 Neutral 0.08768 Sadness 0.27476 Surprise 0.02582 My emotions! My emotions!
Anger 0.20261 Contempt 0.01203 Disgust 0.03628 Fear 0.13929 Happiness 0.00041 Neutral 0.40325 Sadness 0.14054 Surprise 0.06559 Whoa
Anger 0.70718 Contempt 0.00000 Disgust 0.00275 Fear 0.01273 Happiness 0.00005 Neutral 0.05914 Sadness 0.00003 Surprise 0.21811
ONE Anger 0.00011 Contempt 0.00002 Disgust 0.00009 Fear 0.00760 Happiness 0.06528 Neutral 0.00083 Sadness 0.00000 Surprise 0.92607

Search Interest

External References

[1] wordpress – origin

[2] Reddit – AI Emotion

[3] Me.Me – Michael



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AI Emotional Detection

AI Emotion Detection

Part of a series on AI / Artificial Intelligence. [View Related Entries]

Updated Oct 25, 2022 at 05:51PM EDT by Brandon.

Added Oct 25, 2022 at 05:37PM EDT by Brandon.

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About

AI Emotion Detection is a series of images that were put through Microsoft's experimental Project Oxford, which was touted as a way to be able to use AI to tell what emotions are being expressed within a picture. The project saw a lot of old memes, as well as original pictures, used to try and tell what emotions were being given off, before the project was officially scrapped, causing the remnants to be the last of their kind.

Origin

At Microsoft's Build2015 press conference the company showed off the next step in AI image vision technology, showcased by having Project Oxford be able to tell if two faces looked similar to each other, or compile together a list of similar looking faces. This was revealed early in March 2015, but it wasn't until November 13th, 2015, that people really started to pay attention. On November 13th, Microsoft added emotion detection, meaning that the AI would attempt to read the emotions presented on the face of a picture, and would then give an emotional breakdown of the face, with an early example of this in action[1] being Success Kid, whom Microsoft labeled as being more angry than happy or successful (shown below).


Anger 0.98752 Contempt 0.01037 Disgust 0.00077 Fear 0.00000 Happiness 0.00001 Neutral 0.00072 Sadness 0.00062 Surprise 0.00000

Spread

On November 19th, 2015, a now deleted redditor[2] uploaded an image of Sheldon from The Big Bang Theory with a grin on his face. The emotion panel to the right indicating his happiness mixed with a small tinge of surprise were accurate enough for Redditors to give the post over 100 upvotes in seven years (shown below).


Anger 0.00000 Contempt 0.00000 Disgust 0.00000 Fear 0.00000 Happiness 0.99514 Neutral 0.00000 Sadness 0.00000 Surprise 0.00486

The idea of taking existing memes and throwing them through the emotion detection was the main brunt of exploration of this technology, with a Me.Me[3] post uploaded on February 24th, 2017, by the site admins shows Michael Rosen in the middle of one of his famous sketches, paused to show his face in the middle of an expression that the AI detected to mean 99.9% happiness (shown below).


No NUM Anger 0.00000 Contemp10.00000 Disgust 0.00000 Fear 0.00000 Happines$0.99999 Neutral 0.00000 Sadness 0.00000 Surprise 0.00000

Various Examples


Anger 0.00002 Contempt 0.00012 Disgust 0.00002 Fear 0.00139 Happiness 0.00002 Neutral 0.00222 Sadness 0.00000 Surprise 0.99621 Anger 0.00264 Contempt 0.00317 Disgust 0.00001 Fear 0.00000 Happiness 0.00079 Neutral 0.99336 Sadness 0.00003 Surprise 0.00000 Anger 0.16400 Contempt 0.00477 Disgust 0.08643 Fear 0.05372 Happiness 0.30280 Neutral 0.08768 Sadness 0.27476 Surprise 0.02582 My emotions! My emotions! Anger 0.20261 Contempt 0.01203 Disgust 0.03628 Fear 0.13929 Happiness 0.00041 Neutral 0.40325 Sadness 0.14054 Surprise 0.06559 Whoa Anger 0.70718 Contempt 0.00000 Disgust 0.00275 Fear 0.01273 Happiness 0.00005 Neutral 0.05914 Sadness 0.00003 Surprise 0.21811 ONE Anger 0.00011 Contempt 0.00002 Disgust 0.00009 Fear 0.00760 Happiness 0.06528 Neutral 0.00083 Sadness 0.00000 Surprise 0.92607

Search Interest

External References

[1] wordpress – origin

[2] Reddit – AI Emotion

[3] Me.Me – Michael

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