Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-25
people | 99.6 | |
| ||
monochrome | 98.1 | |
| ||
wear | 97.1 | |
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street | 96.2 | |
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man | 94.9 | |
| ||
one | 93.9 | |
| ||
adult | 93.3 | |
| ||
group together | 91.5 | |
| ||
furniture | 87.7 | |
| ||
administration | 85.4 | |
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outfit | 85.3 | |
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vehicle | 81.9 | |
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military | 80.2 | |
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woman | 80.1 | |
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war | 75.9 | |
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action | 74.1 | |
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recreation | 73.3 | |
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outerwear | 72.9 | |
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group | 72.4 | |
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art | 72.1 | |
|
Imagga
created on 2022-01-15
man | 29.6 | |
| ||
person | 24.4 | |
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newspaper | 21.4 | |
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people | 20.1 | |
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male | 19.9 | |
| ||
work | 18.8 | |
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product | 17.6 | |
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adult | 16.9 | |
| ||
business | 15.8 | |
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job | 15 | |
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worker | 14.5 | |
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equipment | 14.4 | |
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working | 14.1 | |
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shop | 13.7 | |
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home | 13.6 | |
| ||
creation | 12.9 | |
| ||
black | 12.9 | |
| ||
occupation | 12.8 | |
| ||
professional | 12 | |
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office | 11.6 | |
| ||
lifestyle | 11.6 | |
| ||
interior | 11.5 | |
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computer | 11.2 | |
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sitting | 11.2 | |
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men | 11.2 | |
| ||
laptop | 11.1 | |
| ||
device | 10.9 | |
| ||
technology | 10.4 | |
| ||
table | 9.9 | |
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indoors | 9.7 | |
| ||
casual | 9.3 | |
| ||
hand | 9.1 | |
| ||
attractive | 9.1 | |
| ||
sexy | 8.8 | |
| ||
businessman | 8.8 | |
| ||
happy | 8.8 | |
| ||
boy | 8.7 | |
| ||
clothing | 8.7 | |
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industry | 8.5 | |
| ||
portrait | 8.4 | |
| ||
pretty | 8.4 | |
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fashion | 8.3 | |
| ||
holding | 8.3 | |
| ||
human | 8.2 | |
| ||
hat | 7.8 | |
| ||
smile | 7.8 | |
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corporate | 7.7 | |
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room | 7.6 | |
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one | 7.5 | |
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floor | 7.4 | |
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machine | 7.3 | |
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helmet | 7.2 | |
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suit | 7.2 | |
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book | 7.2 | |
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paper | 7.1 | |
|
Google
created on 2022-01-15
Photograph | 94.2 | |
| ||
Black | 89.8 | |
| ||
Black-and-white | 86.5 | |
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Style | 84.1 | |
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Automotive design | 82.1 | |
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Monochrome photography | 78.6 | |
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Rectangle | 76.6 | |
| ||
Monochrome | 75.8 | |
| ||
Font | 75.1 | |
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Beauty | 75 | |
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Snapshot | 74.3 | |
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Art | 73.5 | |
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Room | 70 | |
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Photographic paper | 63.7 | |
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Stock photography | 63 | |
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Still life photography | 60.6 | |
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Visual arts | 59.9 | |
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Paper | 58.1 | |
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Brand | 57.9 | |
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Paper product | 56.7 | |
|
Microsoft
created on 2022-01-15
text | 99.5 | |
| ||
black and white | 94.4 | |
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ship | 85.4 | |
| ||
monochrome | 57.8 | |
| ||
house | 51.3 | |
| ||
clothes | 17.4 | |
| ||
cluttered | 15.2 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18815001/406,258,7,10/full/0/native.jpg)
AWS Rekognition
Age | 18-24 |
Gender | Male, 98.9% |
Sad | 46.6% |
Fear | 42.8% |
Calm | 3.3% |
Confused | 3.2% |
Disgusted | 1.6% |
Surprised | 1.3% |
Angry | 0.7% |
Happy | 0.4% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18815001/393,251,44,46/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815001/346,243,39,51/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815001/339,251,25,38/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815001/480,264,26,47/full/0/native.jpg)
Person | 82.9% | |
|
Categories
Imagga
interior objects | 71.3% | |
| ||
food drinks | 16.5% | |
| ||
paintings art | 7.1% | |
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cars vehicles | 1.1% | |
|
Captions
Microsoft
created on 2022-01-15
text | 13.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18815001/955,59,37,22/full/0/native.jpg)
JO
![](https://ids.lib.harvard.edu/ids/iiif/18815001/955,97,32,22/full/0/native.jpg)
KE
![](https://ids.lib.harvard.edu/ids/iiif/18815001/950,171,41,21/full/0/native.jpg)
MA
![](https://ids.lib.harvard.edu/ids/iiif/18815001/413,442,210,135/full/0/native.jpg)
ALF
![](https://ids.lib.harvard.edu/ids/iiif/18815001/953,135,47,22/full/0/native.jpg)
LEV
![](https://ids.lib.harvard.edu/ids/iiif/18815001/961,18,32,22/full/0/native.jpg)
НЕ
![](https://ids.lib.harvard.edu/ids/iiif/18815001/232,314,10,37/full/0/native.jpg)
WESTERN
![](https://ids.lib.harvard.edu/ids/iiif/18815001/235,517,35,7/full/0/native.jpg)
DESERVE
![](https://ids.lib.harvard.edu/ids/iiif/18815001/514,426,13,10/full/0/native.jpg)
94
![](https://ids.lib.harvard.edu/ids/iiif/18815001/290,463,117,119/full/0/native.jpg)
DHA
![](https://ids.lib.harvard.edu/ids/iiif/18815001/818,419,5,21/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/18815001/989,645,15,72/full/0/native.jpg)
830N3730
![](https://ids.lib.harvard.edu/ids/iiif/18815001/217,512,54,15/full/0/native.jpg)
ICAL DESERVE
![](https://ids.lib.harvard.edu/ids/iiif/18815001/512,417,48,19/full/0/native.jpg)
94 LOS NET
![](https://ids.lib.harvard.edu/ids/iiif/18815001/494,420,20,14/full/0/native.jpg)
TRADE
![](https://ids.lib.harvard.edu/ids/iiif/18815001/701,730,140,41/full/0/native.jpg)
ENON
![](https://ids.lib.harvard.edu/ids/iiif/18815001/322,339,243,143/full/0/native.jpg)
CEMC
![](https://ids.lib.harvard.edu/ids/iiif/18815001/544,420,14,6/full/0/native.jpg)
NET
![](https://ids.lib.harvard.edu/ids/iiif/18815001/989,536,15,181/full/0/native.jpg)
32A8 YE33AB 830N3730
![](https://ids.lib.harvard.edu/ids/iiif/18815001/989,536,10,33/full/0/native.jpg)
32A8
![](https://ids.lib.harvard.edu/ids/iiif/18815001/492,405,76,28/full/0/native.jpg)
TRADE MARK RESISTERED
![](https://ids.lib.harvard.edu/ids/iiif/18815001/526,422,15,9/full/0/native.jpg)
LOS
![](https://ids.lib.harvard.edu/ids/iiif/18815001/11,518,31,127/full/0/native.jpg)
HON'S
![](https://ids.lib.harvard.edu/ids/iiif/18815001/218,512,15,10/full/0/native.jpg)
ICAL
![](https://ids.lib.harvard.edu/ids/iiif/18815001/990,582,11,50/full/0/native.jpg)
YE33AB
![](https://ids.lib.harvard.edu/ids/iiif/18815001/510,405,56,25/full/0/native.jpg)
MARK RESISTERED
![](https://ids.lib.harvard.edu/ids/iiif/18815001/226,504,52,12/full/0/native.jpg)
star
![](https://ids.lib.harvard.edu/ids/iiif/18815001/223,19,788,566/full/0/native.jpg)
НЕ
JO
KE
LEV
MA
ALF
AL DESERVE
![](https://ids.lib.harvard.edu/ids/iiif/18815001/949,133,62,32/full/0/native.jpg)
LEV
![](https://ids.lib.harvard.edu/ids/iiif/18815001/950,172,44,28/full/0/native.jpg)
MA
![](https://ids.lib.harvard.edu/ids/iiif/18815001/223,518,18,12/full/0/native.jpg)
AL
![](https://ids.lib.harvard.edu/ids/iiif/18815001/963,19,40,28/full/0/native.jpg)
НЕ
![](https://ids.lib.harvard.edu/ids/iiif/18815001/978,61,17,22/full/0/native.jpg)
JO
![](https://ids.lib.harvard.edu/ids/iiif/18815001/957,100,34,24/full/0/native.jpg)
KE
![](https://ids.lib.harvard.edu/ids/iiif/18815001/429,438,195,147/full/0/native.jpg)
ALF
![](https://ids.lib.harvard.edu/ids/iiif/18815001/237,518,37,11/full/0/native.jpg)
DESERVE