Machine Generated Data
Tags
Amazon
created on 2019-11-06
Clarifai
created on 2019-11-06
Imagga
created on 2019-11-06
mug shot | 100 | |
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photograph | 95.6 | |
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representation | 82.5 | |
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creation | 50.9 | |
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portrait | 44 | |
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face | 37 | |
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fashion | 30.9 | |
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sexy | 27.3 | |
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model | 27.2 | |
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make | 26.3 | |
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hair | 26.2 | |
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lady | 26 | |
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makeup | 23.8 | |
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attractive | 23.8 | |
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hairstyle | 21.9 | |
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mask | 21.7 | |
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adult | 21.4 | |
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sensual | 20.9 | |
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eyes | 20.7 | |
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person | 20.4 | |
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pretty | 18.9 | |
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close | 18.8 | |
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skin | 17.8 | |
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body | 16.8 | |
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style | 16.3 | |
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people | 16.2 | |
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money | 16.2 | |
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elegance | 15.1 | |
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cute | 15.1 | |
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black | 15 | |
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lips | 14.8 | |
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mystery | 14.4 | |
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closeup | 14.2 | |
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studio | 13.7 | |
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carnival | 13.6 | |
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fantasy | 13.5 | |
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currency | 13.5 | |
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one | 13.4 | |
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posing | 13.3 | |
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sketch | 13.3 | |
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look | 12.3 | |
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brunette | 12.2 | |
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smile | 12.1 | |
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art | 12 | |
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stylish | 11.8 | |
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bill | 11.4 | |
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decoration | 11.4 | |
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luxury | 11.2 | |
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expression | 11.1 | |
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banking | 11 | |
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cash | 11 | |
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head | 10.9 | |
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vogue | 10.7 | |
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elegant | 10.3 | |
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feminine | 10.3 | |
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dollar | 10.2 | |
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finance | 10.1 | |
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man | 10.1 | |
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happy | 10 | |
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gorgeous | 10 | |
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vintage | 9.9 | |
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eye | 9.8 | |
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human | 9.8 | |
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looking | 9.6 | |
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drawing | 9.6 | |
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bank | 9 | |
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lovely | 8.9 | |
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masquerade | 8.9 | |
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mysterious | 8.7 | |
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banknote | 8.7 | |
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cosmetic | 8.6 | |
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male | 8.5 | |
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bust | 8.4 | |
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dark | 8.4 | |
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venetian | 8.1 | |
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financial | 8 | |
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sexual | 7.7 | |
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sculpture | 7.7 | |
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care | 7.4 | |
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emotion | 7.4 | |
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business | 7.3 | |
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wig | 7 | |
|
Google
created on 2019-11-06
Head | 89.5 | |
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Illustration | 88.9 | |
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Chin | 85 | |
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Art | 84.3 | |
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Self-portrait | 82.5 | |
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Portrait | 78.8 | |
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Jaw | 78.3 | |
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Forehead | 78.2 | |
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Drawing | 77 | |
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Printmaking | 68.2 | |
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Facial hair | 68.1 | |
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Sketch | 67.9 | |
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Neck | 65.4 | |
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Visual arts | 59.3 | |
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Moustache | 58.8 | |
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Plant | 58.5 | |
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Artwork | 58 | |
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Beard | 55.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/20428828/451,252,196,251/full/0/native.jpg)
AWS Rekognition
Age | 25-39 |
Gender | Male, 92.7% |
Disgusted | 0.2% |
Angry | 0.3% |
Sad | 92.1% |
Confused | 0.3% |
Happy | 0.1% |
Fear | 0.8% |
Surprised | 0% |
Calm | 6.2% |
![](https://ids.lib.harvard.edu/ids/iiif/20428828/491,300,193,193/full/0/native.jpg)
Microsoft Cognitive Services
Age | 58 |
Gender | Male |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20428828/147,60,780,700/full/0/native.jpg)
Person | 95.5% | |
|
Categories
Imagga
paintings art | 99.3% | |
|
Captions
Microsoft
created on 2019-11-06
a person posing for the camera | 96.8% | |
| ||
a man posing for a photo | 91% | |
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a black and white photo of a man | 86.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20428828/126,761,18,14/full/0/native.jpg)
in
![](https://ids.lib.harvard.edu/ids/iiif/20428828/686,751,33,19/full/0/native.jpg)
Roy
![](https://ids.lib.harvard.edu/ids/iiif/20428828/147,761,19,14/full/0/native.jpg)
et
![](https://ids.lib.harvard.edu/ids/iiif/20428828/82,758,43,16/full/0/native.jpg)
Bella
![](https://ids.lib.harvard.edu/ids/iiif/20428828/47,756,155,23/full/0/native.jpg)
S D Bella in et fecit
![](https://ids.lib.harvard.edu/ids/iiif/20428828/63,761,16,14/full/0/native.jpg)
D
![](https://ids.lib.harvard.edu/ids/iiif/20428828/163,757,39,22/full/0/native.jpg)
fecit
![](https://ids.lib.harvard.edu/ids/iiif/20428828/617,752,42,19/full/0/native.jpg)
priul
![](https://ids.lib.harvard.edu/ids/iiif/20428828/581,752,137,20/full/0/native.jpg)
huiee priul du Roy
![](https://ids.lib.harvard.edu/ids/iiif/20428828/47,757,16,19/full/0/native.jpg)
S
![](https://ids.lib.harvard.edu/ids/iiif/20428828/663,751,21,16/full/0/native.jpg)
du
![](https://ids.lib.harvard.edu/ids/iiif/20428828/582,756,34,13/full/0/native.jpg)
huiee
![](https://ids.lib.harvard.edu/ids/iiif/20428828/51,753,671,31/full/0/native.jpg)
dvec priul du Roy
SD Blla in et facit
![](https://ids.lib.harvard.edu/ids/iiif/20428828/621,753,40,24/full/0/native.jpg)
priul
![](https://ids.lib.harvard.edu/ids/iiif/20428828/688,754,34,20/full/0/native.jpg)
Roy
![](https://ids.lib.harvard.edu/ids/iiif/20428828/51,763,31,18/full/0/native.jpg)
SD
![](https://ids.lib.harvard.edu/ids/iiif/20428828/169,761,34,23/full/0/native.jpg)
facit
![](https://ids.lib.harvard.edu/ids/iiif/20428828/579,755,41,21/full/0/native.jpg)
dvec
![](https://ids.lib.harvard.edu/ids/iiif/20428828/667,753,19,20/full/0/native.jpg)
du
![](https://ids.lib.harvard.edu/ids/iiif/20428828/87,763,41,19/full/0/native.jpg)
Blla
![](https://ids.lib.harvard.edu/ids/iiif/20428828/131,765,16,15/full/0/native.jpg)
in
![](https://ids.lib.harvard.edu/ids/iiif/20428828/150,761,18,23/full/0/native.jpg)
et