Machine Generated Data
Tags
Amazon
created on 2023-10-05
Clarifai
created on 2018-05-11
Imagga
created on 2023-10-05
bust | 100 | |
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sculpture | 100 | |
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plastic art | 81.5 | |
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art | 43.2 | |
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person | 39.9 | |
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black | 39.4 | |
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man | 36.4 | |
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model | 34.3 | |
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portrait | 33.7 | |
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male | 32.7 | |
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face | 31.3 | |
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figure | 31.2 | |
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adult | 31.1 | |
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attractive | 28 | |
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sexy | 27.4 | |
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handsome | 26.8 | |
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human | 24.8 | |
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one | 23.9 | |
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expression | 22.2 | |
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muscular | 22 | |
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guy | 21.9 | |
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body | 21.6 | |
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hair | 21.4 | |
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people | 20.1 | |
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looking | 20 | |
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studio | 19 | |
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skin | 18.8 | |
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dark | 18.4 | |
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eyes | 18.1 | |
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head | 17.7 | |
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close | 16.6 | |
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torso | 15.6 | |
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muscle | 14.5 | |
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cute | 14.4 | |
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serious | 14.3 | |
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lady | 13.8 | |
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chest | 13.7 | |
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pretty | 13.3 | |
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men | 12.9 | |
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fitness | 12.7 | |
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posing | 12.5 | |
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macho | 12.4 | |
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boy | 12.2 | |
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strong | 12.2 | |
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bodybuilder | 12.2 | |
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fashion | 12.1 | |
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fit | 12 | |
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power | 11.8 | |
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look | 11.4 | |
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style | 11.1 | |
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sensual | 10.9 | |
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pose | 10.9 | |
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eye | 10.7 | |
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healthy | 10.7 | |
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smile | 10.7 | |
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athlete | 10.4 | |
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happy | 10 | |
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sensuality | 10 | |
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hand | 9.9 | |
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muscles | 9.8 | |
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health | 9.7 | |
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naked | 9.7 | |
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athletic | 9.6 | |
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senior | 9.4 | |
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youth | 9.4 | |
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casual | 9.3 | |
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alone | 9.1 | |
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modern | 9.1 | |
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shoulders | 8.8 | |
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closeup | 8.8 | |
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women | 8.7 | |
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facial | 8.7 | |
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strength | 8.4 | |
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lips | 8.3 | |
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make | 8.2 | |
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cool | 8 | |
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biceps | 7.9 | |
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brunette | 7.9 | |
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hands | 7.8 | |
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masculine | 7.8 | |
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tan | 7.7 | |
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clothing | 7.6 | |
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shirt | 7.5 | |
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gorgeous | 7.3 | |
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lifestyle | 7.2 | |
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Google
created on 2018-05-11
face | 96.6 | |
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black and white | 92 | |
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sculpture | 90.6 | |
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chin | 90 | |
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head | 86.1 | |
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classical sculpture | 86 | |
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monochrome photography | 85.1 | |
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portrait | 79.7 | |
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art | 76.8 | |
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cheek | 74.8 | |
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monochrome | 74.6 | |
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forehead | 74.5 | |
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jaw | 66.7 | |
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neck | 64.1 | |
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portrait photography | 52.6 | |
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Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/43164281/237,67,272,382/full/0/native.jpg)
AWS Rekognition
Age | 64-74 |
Gender | Male, 100% |
Calm | 95.1% |
Surprised | 6.3% |
Fear | 5.9% |
Happy | 3.9% |
Sad | 2.2% |
Disgusted | 0.3% |
Confused | 0.2% |
Angry | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/43164281/231,115,333,333/full/0/native.jpg)
Microsoft Cognitive Services
Age | 58 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/43164281/108,117,485,391/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43164281/58,28,613,989/full/0/native.jpg)
Person | 99.7% | |
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Categories
Imagga
people portraits | 97.1% | |
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events parties | 1.8% | |
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Captions
Microsoft
created on 2018-05-11
a person posing for the camera | 96.9% | |
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a black and white photo of a person | 87.2% | |
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a person posing for the camera | 87.1% | |
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