Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
portrait | 99.9 | |
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people | 99.7 | |
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one | 99.1 | |
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man | 99.1 | |
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adult | 98.4 | |
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monochrome | 97.2 | |
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elderly | 96.9 | |
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writer | 95.9 | |
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movie | 93.3 | |
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actor | 89.8 | |
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facial expression | 86.2 | |
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hair | 85.2 | |
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mustache | 85 | |
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music | 83.5 | |
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documentary | 83.3 | |
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facial hair | 83.2 | |
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old | 81.7 | |
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elder | 81.1 | |
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publisher | 80.8 | |
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smile | 79.8 | |
|
Imagga
created on 2022-01-08
Google
created on 2022-01-08
Smile | 94.6 | |
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Jaw | 87.7 | |
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Collar | 83.2 | |
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Black-and-white | 81.9 | |
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Blazer | 76.5 | |
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Monochrome photography | 74.8 | |
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Beard | 74.6 | |
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Moustache | 74.3 | |
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Facial hair | 69 | |
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Monochrome | 68.5 | |
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Vintage clothing | 67.5 | |
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History | 66.5 | |
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Happy | 66.2 | |
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Picture frame | 64.3 | |
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Stock photography | 63.8 | |
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White-collar worker | 63.4 | |
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Event | 63.4 | |
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Wrinkle | 62.6 | |
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Formal wear | 62.3 | |
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Portrait photography | 59 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/18788120/251,237,226,329/full/0/native.jpg)
AWS Rekognition
Age | 52-60 |
Gender | Male, 100% |
Happy | 57.2% |
Calm | 39.5% |
Sad | 1.6% |
Fear | 0.4% |
Confused | 0.4% |
Angry | 0.3% |
Disgusted | 0.3% |
Surprised | 0.3% |
![](https://ids.lib.harvard.edu/ids/iiif/18788120/229,291,252,252/full/0/native.jpg)
Microsoft Cognitive Services
Age | 61 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/18788120/187,159,360,419/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18788120/85,167,664,674/full/0/native.jpg)
Person | 98.9% | |
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Categories
Imagga
paintings art | 67.6% | |
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people portraits | 32.4% | |
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Captions
Microsoft
created on 2022-01-08
a man standing in front of a newspaper | 75.5% | |
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a man wearing a suit and tie | 75.4% | |
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a man standing in front of a store | 75.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18788120/667,260,18,10/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18788120/622,704,82,101/full/0/native.jpg)
Jacg
![](https://ids.lib.harvard.edu/ids/iiif/18788120/591,356,65,20/full/0/native.jpg)
- -
![](https://ids.lib.harvard.edu/ids/iiif/18788120/582,291,38,14/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/18788120/480,173,93,29/full/0/native.jpg)
HOFBRAU
![](https://ids.lib.harvard.edu/ids/iiif/18788120/627,314,44,17/full/0/native.jpg)
....
![](https://ids.lib.harvard.edu/ids/iiif/18788120/126,403,32,14/full/0/native.jpg)
an
![](https://ids.lib.harvard.edu/ids/iiif/18788120/626,722,79,78/full/0/native.jpg)
Jae
![](https://ids.lib.harvard.edu/ids/iiif/18788120/626,722,79,78/full/0/native.jpg)
Jae