Machine Generated Data
Tags
Amazon
created on 2021-04-05
Clarifai
created on 2021-04-05
Imagga
created on 2021-04-05
hat | 29.1 | |
| ||
cowboy hat | 23.3 | |
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architecture | 19.6 | |
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old | 19.5 | |
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headdress | 18.4 | |
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building | 16.7 | |
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cup | 16.2 | |
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clothing | 15.1 | |
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bobbin | 15 | |
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drink | 13.3 | |
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people | 12.8 | |
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breakfast | 11.7 | |
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city | 11.6 | |
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history | 11.6 | |
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newspaper | 11.4 | |
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man | 11.4 | |
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travel | 11.2 | |
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historic | 11 | |
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male | 10.1 | |
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tourism | 9.9 | |
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urban | 9.6 | |
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design | 9.6 | |
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ancient | 9.5 | |
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house | 9.2 | |
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art | 9.2 | |
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room | 9.1 | |
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work | 9.1 | |
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health | 9 | |
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person | 9 | |
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brown | 8.8 | |
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food | 8.7 | |
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culture | 8.5 | |
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business | 8.5 | |
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teapot | 8.4 | |
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container | 8.4 | |
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place | 8.4 | |
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hand | 8.3 | |
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coffee | 8.3 | |
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sombrero | 8.2 | |
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beverage | 8.2 | |
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office | 8.1 | |
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water | 8 | |
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product | 7.9 | |
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black | 7.8 | |
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antique | 7.8 | |
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structure | 7.7 | |
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pot | 7.7 | |
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tourist | 7.5 | |
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famous | 7.4 | |
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town | 7.4 | |
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crossword puzzle | 7.4 | |
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vacation | 7.4 | |
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device | 7.3 | |
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metal | 7.2 | |
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color | 7.2 | |
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landmark | 7.2 | |
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table | 7.1 | |
|
Google
created on 2021-04-05
Photograph | 94.1 | |
| ||
Fedora | 89.9 | |
| ||
Black | 89.7 | |
| ||
Hat | 89.5 | |
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Sun hat | 88.3 | |
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Black-and-white | 87 | |
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Standing | 86.4 | |
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Style | 84 | |
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Cap | 83.1 | |
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Eyewear | 81.6 | |
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Monochrome photography | 77.4 | |
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Monochrome | 77.3 | |
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Snapshot | 74.3 | |
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Font | 71.2 | |
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Cowboy hat | 70.8 | |
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Fashion accessory | 67.3 | |
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Event | 67.2 | |
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Building | 65 | |
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City | 64 | |
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Street | 63.7 | |
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Microsoft
created on 2021-04-05
hat | 99.8 | |
| ||
person | 99.5 | |
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fashion accessory | 99 | |
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text | 97.6 | |
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fedora | 97.4 | |
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black and white | 96.9 | |
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sun hat | 95.7 | |
| ||
man | 93.3 | |
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cowboy hat | 92.2 | |
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indoor | 85.5 | |
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clothing | 84.2 | |
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monochrome | 82.1 | |
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older | 23.1 | |
| ||
shop | 14.8 | |
|
Color Analysis
Feature analysis
Categories
Imagga
interior objects | 68.7% | |
| ||
streetview architecture | 20% | |
| ||
paintings art | 7.9% | |
| ||
text visuals | 1.4% | |
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food drinks | 1.4% | |
|
Captions
Microsoft
created on 2021-04-05
a man and a woman standing in front of a shop | 69.5% | |
| ||
a person standing in front of a shop | 69.4% | |
| ||
a man and woman standing in front of a shop | 58.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14380339/786,113,115,32/full/0/native.jpg)
SCHRODER
![](https://ids.lib.harvard.edu/ids/iiif/14380339/431,3,91,41/full/0/native.jpg)
Seipiger
![](https://ids.lib.harvard.edu/ids/iiif/14380339/772,114,18,29/full/0/native.jpg)
J
![](https://ids.lib.harvard.edu/ids/iiif/14380339/524,10,41,33/full/0/native.jpg)
Gir.
![](https://ids.lib.harvard.edu/ids/iiif/14380339/542,97,359,53/full/0/native.jpg)
HACAFA N J SCHRODER
![](https://ids.lib.harvard.edu/ids/iiif/14380339/544,97,164,37/full/0/native.jpg)
HACAFA
![](https://ids.lib.harvard.edu/ids/iiif/14380339/132,2,432,43/full/0/native.jpg)
Baist Seipiger Gir.
![](https://ids.lib.harvard.edu/ids/iiif/14380339/754,120,18,20/full/0/native.jpg)
N
![](https://ids.lib.harvard.edu/ids/iiif/14380339/296,98,55,46/full/0/native.jpg)
Har
![](https://ids.lib.harvard.edu/ids/iiif/14380339/133,12,82,33/full/0/native.jpg)
Baist
![](https://ids.lib.harvard.edu/ids/iiif/14380339/742,20,29,68/full/0/native.jpg)
B
![](https://ids.lib.harvard.edu/ids/iiif/14380339/431,3,97,50/full/0/native.jpg)
Leipziger
![](https://ids.lib.harvard.edu/ids/iiif/14380339/746,4,28,108/full/0/native.jpg)
LODER
![](https://ids.lib.harvard.edu/ids/iiif/14380339/158,3,758,159/full/0/native.jpg)
Leipziger Str
ER
HACIFA J.SCHRÖDER
LODER
![](https://ids.lib.harvard.edu/ids/iiif/14380339/523,8,46,47/full/0/native.jpg)
Str
![](https://ids.lib.harvard.edu/ids/iiif/14380339/158,100,78,52/full/0/native.jpg)
ER
![](https://ids.lib.harvard.edu/ids/iiif/14380339/552,100,180,53/full/0/native.jpg)
HACIFA
![](https://ids.lib.harvard.edu/ids/iiif/14380339/739,109,177,52/full/0/native.jpg)
J.SCHRÖDER