Machine Generated Data
Tags
Amazon
created on 2023-10-05
Clarifai
created on 2018-05-10
people | 99.9 | |
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adult | 99.1 | |
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man | 97.2 | |
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one | 97.1 | |
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monochrome | 97.1 | |
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two | 94.5 | |
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woman | 92.3 | |
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war | 91.4 | |
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child | 91 | |
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group | 90.7 | |
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furniture | 90.4 | |
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room | 90.3 | |
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wear | 90.1 | |
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sit | 89.5 | |
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concentration | 87.4 | |
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administration | 85.3 | |
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indoors | 85 | |
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medical practitioner | 83.5 | |
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uniform | 81 | |
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group together | 80.6 | |
|
Imagga
created on 2023-10-05
man | 38.3 | |
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person | 28.7 | |
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people | 25.7 | |
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male | 24.8 | |
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work | 22.8 | |
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barbershop | 21.3 | |
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working | 19.4 | |
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worker | 18.3 | |
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shop | 18.2 | |
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job | 16.8 | |
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adult | 16.4 | |
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occupation | 14.7 | |
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men | 14.6 | |
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bartender | 14.6 | |
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industry | 14.5 | |
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skill | 14.4 | |
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professional | 14.1 | |
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mercantile establishment | 13.6 | |
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equipment | 13.5 | |
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repair | 12.4 | |
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sitting | 12 | |
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device | 12 | |
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home | 12 | |
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profession | 11.5 | |
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indoors | 11.4 | |
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hand | 11.4 | |
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tool | 11.4 | |
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face | 11.4 | |
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looking | 11.2 | |
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construction | 11.1 | |
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instrument | 10.9 | |
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black | 10.8 | |
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labor | 10.7 | |
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office | 10.7 | |
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one | 10.4 | |
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portrait | 10.3 | |
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mature | 10.2 | |
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safety | 10.1 | |
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industrial | 10 | |
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smile | 10 | |
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kitchen | 9.8 | |
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lifestyle | 9.4 | |
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business | 9.1 | |
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place of business | 9.1 | |
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coat | 8.9 | |
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craftsman | 8.9 | |
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to | 8.8 | |
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metal | 8.8 | |
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look | 8.8 | |
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movie | 8.7 | |
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sit | 8.5 | |
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gun | 8.5 | |
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senior | 8.4 | |
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glasses | 8.3 | |
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medical | 7.9 | |
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scientist | 7.8 | |
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manual | 7.8 | |
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product | 7.8 | |
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table | 7.8 | |
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factory | 7.7 | |
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exam | 7.7 | |
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craft | 7.6 | |
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workplace | 7.6 | |
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research | 7.6 | |
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building | 7.5 | |
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hospital | 7.5 | |
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doctor | 7.5 | |
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technology | 7.4 | |
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weapon | 7.4 | |
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room | 7.4 | |
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phone | 7.4 | |
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inside | 7.4 | |
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indoor | 7.3 | |
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protection | 7.3 | |
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smiling | 7.2 | |
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school | 7.2 | |
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workshop | 7.1 | |
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interior | 7.1 | |
|
Google
created on 2018-05-10
photograph | 95.9 | |
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black and white | 91.4 | |
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snapshot | 81.8 | |
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photography | 80.6 | |
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monochrome photography | 76.9 | |
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human behavior | 72.6 | |
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monochrome | 60 | |
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stock photography | 56.9 | |
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vintage clothing | 56.8 | |
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angle | 55.7 | |
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musical instrument accessory | 53 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43160600/222,226,134,126/full/0/native.jpg)
AWS Rekognition
Age | 54-64 |
Gender | Male, 98.3% |
Calm | 65.2% |
Confused | 14.8% |
Sad | 13.8% |
Surprised | 6.7% |
Fear | 6.1% |
Angry | 3.5% |
Happy | 0.9% |
Disgusted | 0.4% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43160600/107,132,526,542/full/0/native.jpg)
Person | 99.5% | |
|
Categories
Imagga
paintings art | 98.3% | |
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pets animals | 1.5% | |
|
Captions
Microsoft
created on 2018-05-10
a black and white photo of a man | 75.2% | |
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a man standing in front of a window | 58% | |
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an old photo of a man | 57.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43160600/696,94,82,39/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/43160600/714,30,177,44/full/0/native.jpg)
CASH
![](https://ids.lib.harvard.edu/ids/iiif/43160600/695,88,191,48/full/0/native.jpg)
TO AL
![](https://ids.lib.harvard.edu/ids/iiif/43160600/801,88,84,45/full/0/native.jpg)
AL
![](https://ids.lib.harvard.edu/ids/iiif/43160600/60,60,39,14/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/43160600/19,76,39,15/full/0/native.jpg)
- -
![](https://ids.lib.harvard.edu/ids/iiif/43160600/216,29,123,10/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/43160600/21,58,151,19/full/0/native.jpg)
can -
![](https://ids.lib.harvard.edu/ids/iiif/43160600/31,93,130,12/full/0/native.jpg)
- Serving
![](https://ids.lib.harvard.edu/ids/iiif/43160600/100,78,21,12/full/0/native.jpg)
all
![](https://ids.lib.harvard.edu/ids/iiif/43160600/100,78,53,12/full/0/native.jpg)
all -
![](https://ids.lib.harvard.edu/ids/iiif/43160600/254,123,7,7/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/43160600/526,195,219,31/full/0/native.jpg)
BER
![](https://ids.lib.harvard.edu/ids/iiif/43160600/21,60,36,14/full/0/native.jpg)
can
![](https://ids.lib.harvard.edu/ids/iiif/43160600/138,95,23,8/full/0/native.jpg)
Serving
![](https://ids.lib.harvard.edu/ids/iiif/43160600/696,30,152,108/full/0/native.jpg)
CA
TO A
![](https://ids.lib.harvard.edu/ids/iiif/43160600/715,30,85,52/full/0/native.jpg)
CA
![](https://ids.lib.harvard.edu/ids/iiif/43160600/696,95,87,42/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/43160600/804,91,44,47/full/0/native.jpg)
A