Machine Generated Data
Tags
Amazon
created on 2023-10-23
Clarifai
created on 2019-02-26
Imagga
created on 2019-02-26
book jacket | 25 | |
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jacket | 19.5 | |
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mug shot | 18 | |
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billboard | 17.5 | |
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grunge | 16.2 | |
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structure | 15.4 | |
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photograph | 15 | |
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wrapping | 14.8 | |
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signboard | 14.2 | |
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landscape | 14.1 | |
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sky | 14 | |
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old | 13.9 | |
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snow | 13.8 | |
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equine | 13.7 | |
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vintage | 13.2 | |
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representation | 13.2 | |
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winter | 12.8 | |
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deer | 12.7 | |
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texture | 12.5 | |
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wildlife | 12.5 | |
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outdoor | 12.2 | |
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dog | 11.6 | |
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silhouette | 11.6 | |
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horse | 11.5 | |
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wild | 11.3 | |
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dirty | 10.8 | |
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black | 10.8 | |
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water | 10.7 | |
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covering | 10.5 | |
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outdoors | 10.4 | |
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ocean | 10.1 | |
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travel | 9.8 | |
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art | 9.8 | |
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brown | 9.6 | |
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grungy | 9.5 | |
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mountain | 9.1 | |
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paint | 9 | |
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summer | 9 | |
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canine | 8.8 | |
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caribou | 8.7 | |
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antique | 8.6 | |
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creation | 8.5 | |
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space | 8.5 | |
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frame | 8.3 | |
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pattern | 8.2 | |
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vacation | 8.2 | |
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ass | 8.1 | |
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activity | 8.1 | |
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sun | 8 | |
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season | 7.8 | |
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cold | 7.7 | |
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hill | 7.5 | |
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tourism | 7.4 | |
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man | 7.4 | |
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global | 7.3 | |
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people | 7.2 | |
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sunset | 7.2 | |
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farm | 7.1 | |
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grass | 7.1 | |
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Google
created on 2019-02-26
Horse | 80 | |
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Bridle | 79.8 | |
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Rein | 72.4 | |
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Horse trainer | 70.7 | |
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Stock photography | 70.4 | |
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Horse racing | 68.1 | |
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Cowboy | 66.5 | |
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Recreation | 64.3 | |
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Illustration | 62.3 | |
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Drawing | 60.7 | |
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Art | 58.1 | |
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Wrangler | 54.3 | |
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Pack animal | 52.4 | |
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Square | 52.2 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20460029/504,314,19,22/full/0/native.jpg)
AWS Rekognition
Age | 2-8 |
Gender | Male, 99.4% |
Calm | 62.1% |
Confused | 11.3% |
Happy | 11% |
Surprised | 7% |
Sad | 6.5% |
Fear | 6.3% |
Angry | 3.2% |
Disgusted | 1.7% |
Feature analysis
Categories
Imagga
paintings art | 99.2% | |
|
Captions
Microsoft
created on 2019-02-26
a vintage photo of a horse | 77.1% | |
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a vintage photo of a dog | 32.7% | |
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a vintage photo of a person riding a horse | 32.6% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20460029/431,634,40,9/full/0/native.jpg)
FROM
![](https://ids.lib.harvard.edu/ids/iiif/20460029/483,634,30,10/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20460029/431,634,149,11/full/0/native.jpg)
FROM THE MOORS.
![](https://ids.lib.harvard.edu/ids/iiif/20460029/524,634,56,11/full/0/native.jpg)
MOORS.
![](https://ids.lib.harvard.edu/ids/iiif/20460029/518,698,24,5/full/0/native.jpg)
SERTION
![](https://ids.lib.harvard.edu/ids/iiif/20460029/458,697,84,6/full/0/native.jpg)
www. JAMES SERTION
![](https://ids.lib.harvard.edu/ids/iiif/20460029/487,697,21,6/full/0/native.jpg)
JAMES
![](https://ids.lib.harvard.edu/ids/iiif/20460029/458,698,25,5/full/0/native.jpg)
www.
![](https://ids.lib.harvard.edu/ids/iiif/20460029/432,634,146,13/full/0/native.jpg)
FROMTHE MOORS
![](https://ids.lib.harvard.edu/ids/iiif/20460029/432,634,84,13/full/0/native.jpg)
FROMTHE
![](https://ids.lib.harvard.edu/ids/iiif/20460029/525,634,53,13/full/0/native.jpg)
MOORS