Machine Generated Data
Tags
Amazon
created on 2022-05-28
Poster | 99.6 | |
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Advertisement | 99.6 | |
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Person | 96.7 | |
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Human | 96.7 | |
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Art | 95.7 | |
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Painting | 93 | |
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Mural | 64.8 | |
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Text | 64.5 | |
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Home Decor | 62.9 | |
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Drawing | 59.9 | |
|
Clarifai
created on 2023-10-30
Imagga
created on 2022-05-28
man | 40.3 | |
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person | 37.1 | |
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male | 36.2 | |
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jacket | 36 | |
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book jacket | 35.1 | |
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hat | 27.5 | |
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portrait | 25.2 | |
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covering | 25 | |
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guy | 24.3 | |
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adult | 21.4 | |
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people | 21.2 | |
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wrapping | 20.7 | |
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uniform | 17.4 | |
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face | 16.3 | |
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clothing | 16 | |
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black | 15.6 | |
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private | 15.5 | |
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old | 13.9 | |
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adolescent | 13 | |
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men | 12 | |
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soldier | 11.7 | |
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model | 11.7 | |
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handsome | 11.6 | |
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worker | 11.6 | |
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military uniform | 11.5 | |
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one | 11.2 | |
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dark | 10.9 | |
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style | 10.4 | |
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senior | 10.3 | |
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hair | 10.3 | |
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power | 10.1 | |
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equipment | 9.8 | |
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attractive | 9.8 | |
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army | 9.7 | |
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human | 9.7 | |
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juvenile | 9.7 | |
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job | 9.7 | |
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outdoors | 9.7 | |
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military | 9.7 | |
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art | 9.3 | |
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protection | 9.1 | |
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work | 8.6 | |
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industry | 8.5 | |
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fashion | 8.3 | |
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vintage | 8.3 | |
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beard | 8.2 | |
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history | 8 | |
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weapon | 8 | |
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posing | 8 | |
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look | 7.9 | |
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standing | 7.8 | |
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grandfather | 7.8 | |
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construction | 7.7 | |
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culture | 7.7 | |
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elderly | 7.7 | |
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mask | 7.6 | |
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helmet | 7.5 | |
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builder | 7.5 | |
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sleeping bag | 7.4 | |
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retro | 7.4 | |
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safety | 7.4 | |
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cap | 7.4 | |
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coat | 7.3 | |
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gun | 7.3 | |
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industrial | 7.3 | |
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religion | 7.2 | |
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Google
created on 2022-05-28
Hat | 87.9 | |
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Poster | 85.9 | |
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Font | 80.9 | |
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Art | 78.4 | |
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Illustration | 73.6 | |
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Book | 72.4 | |
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Publication | 70.1 | |
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Vintage clothing | 69.6 | |
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History | 66.5 | |
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Vintage advertisement | 65.8 | |
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Advertising | 62.8 | |
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Landscape | 59.5 | |
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Painting | 59 | |
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Sun hat | 59 | |
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Paper product | 57.8 | |
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Paper | 56.8 | |
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Photo caption | 56 | |
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Fiction | 53.8 | |
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Retro style | 51.4 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18482486/243,337,110,150/full/0/native.jpg)
AWS Rekognition
Age | 43-51 |
Gender | Female, 90% |
Calm | 98.7% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Happy | 1% |
Disgusted | 0% |
Confused | 0% |
Angry | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18482486/215,283,174,202/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 100% | |
|
Captions
Microsoft
created on 2022-05-28
a person sitting in front of a book | 38.8% | |
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a person standing in front of a book | 38.7% | |
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a person sitting on top of a book | 37% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18482486/80,28,159,65/full/0/native.jpg)
MULE
![](https://ids.lib.harvard.edu/ids/iiif/18482486/270,26,118,66/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/18482486/482,24,186,68/full/0/native.jpg)
PLOW
![](https://ids.lib.harvard.edu/ids/iiif/18482486/123,970,95,27/full/0/native.jpg)
Loans
![](https://ids.lib.harvard.edu/ids/iiif/18482486/502,967,69,28/full/0/native.jpg)
New
![](https://ids.lib.harvard.edu/ids/iiif/18482486/232,969,72,28/full/0/native.jpg)
Give
![](https://ids.lib.harvard.edu/ids/iiif/18482486/585,965,85,28/full/0/native.jpg)
Start
![](https://ids.lib.harvard.edu/ids/iiif/18482486/15,908,310,46/full/0/native.jpg)
RESETTLEMENT
![](https://ids.lib.harvard.edu/ids/iiif/18482486/15,903,655,55/full/0/native.jpg)
RESETTLEMENT ADMINISTRATION
![](https://ids.lib.harvard.edu/ids/iiif/18482486/14,24,653,69/full/0/native.jpg)
A MULE AND A PLOW
![](https://ids.lib.harvard.edu/ids/iiif/18482486/343,905,327,46/full/0/native.jpg)
ADMINISTRATION
![](https://ids.lib.harvard.edu/ids/iiif/18482486/317,967,137,31/full/0/native.jpg)
Farmers
![](https://ids.lib.harvard.edu/ids/iiif/18482486/17,970,94,29/full/0/native.jpg)
Small
![](https://ids.lib.harvard.edu/ids/iiif/18482486/14,27,35,66/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18482486/17,965,653,33/full/0/native.jpg)
Small Loans Give Farmers a New Start
![](https://ids.lib.harvard.edu/ids/iiif/18482486/470,975,17,18/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18482486/573,854,65,40/full/0/native.jpg)
Bermmada
![](https://ids.lib.harvard.edu/ids/iiif/18482486/589,873,54,32/full/0/native.jpg)
Drofan
![](https://ids.lib.harvard.edu/ids/iiif/18482486/-22,1,731,1023/full/0/native.jpg)
A MULE AND A PLOW
Bernards
Bryan
RESETTLEMENT ADMINISTRATION
Smail Loans Give Farmers a New Start
X
![](https://ids.lib.harvard.edu/ids/iiif/18482486/13,29,44,67/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18482486/79,27,165,69/full/0/native.jpg)
MULE
![](https://ids.lib.harvard.edu/ids/iiif/18482486/267,26,126,68/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/18482486/479,25,190,69/full/0/native.jpg)
PLOW
![](https://ids.lib.harvard.edu/ids/iiif/18482486/576,867,64,24/full/0/native.jpg)
Bernards
![](https://ids.lib.harvard.edu/ids/iiif/18482486/590,878,53,26/full/0/native.jpg)
Bryan
![](https://ids.lib.harvard.edu/ids/iiif/18482486/16,910,311,47/full/0/native.jpg)
RESETTLEMENT
![](https://ids.lib.harvard.edu/ids/iiif/18482486/344,906,328,48/full/0/native.jpg)
ADMINISTRATION
![](https://ids.lib.harvard.edu/ids/iiif/18482486/18,970,97,33/full/0/native.jpg)
Smail
![](https://ids.lib.harvard.edu/ids/iiif/18482486/123,969,99,33/full/0/native.jpg)
Loans
![](https://ids.lib.harvard.edu/ids/iiif/18482486/235,968,72,33/full/0/native.jpg)
Give
![](https://ids.lib.harvard.edu/ids/iiif/18482486/319,968,138,32/full/0/native.jpg)
Farmers
![](https://ids.lib.harvard.edu/ids/iiif/18482486/471,968,20,31/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18482486/502,966,69,33/full/0/native.jpg)
New
![](https://ids.lib.harvard.edu/ids/iiif/18482486/585,965,89,33/full/0/native.jpg)
Start
![](https://ids.lib.harvard.edu/ids/iiif/18482486/73,327,61,56/full/0/native.jpg)
X