Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clothing | 100 | |
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Sun Hat | 100 | |
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Adult | 99.2 | |
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Male | 99.2 | |
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Man | 99.2 | |
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Person | 99.2 | |
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Adult | 98.6 | |
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Male | 98.6 | |
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Man | 98.6 | |
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Person | 98.6 | |
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Adult | 98.5 | |
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Male | 98.5 | |
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Man | 98.5 | |
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Person | 98.5 | |
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Adult | 97.1 | |
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Male | 97.1 | |
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Man | 97.1 | |
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Person | 97.1 | |
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Coat | 94.8 | |
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Face | 91 | |
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Head | 91 | |
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Adult | 85 | |
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Male | 85 | |
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Man | 85 | |
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Person | 85 | |
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Hat | 80.3 | |
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Hardhat | 64.7 | |
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Helmet | 64.7 | |
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Person | 61.9 | |
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Urban | 56.2 | |
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Cowboy Hat | 55.9 | |
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Overcoat | 55.6 | |
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City | 55.5 | |
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Metropolis | 55.5 | |
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Cap | 55.4 | |
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Photography | 55.1 | |
|
Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
cowboy hat | 100 | |
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hat | 100 | |
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headdress | 89.1 | |
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clothing | 62 | |
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covering | 33.9 | |
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consumer goods | 33.1 | |
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man | 26.9 | |
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people | 18.9 | |
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male | 17 | |
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person | 16.8 | |
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hand | 15.2 | |
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black | 15 | |
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portrait | 14.9 | |
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work | 14.1 | |
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men | 12.9 | |
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face | 12.8 | |
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worker | 12.4 | |
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uniform | 12.4 | |
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smoke | 12.1 | |
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metal | 12.1 | |
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protection | 11.8 | |
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cowboy | 11.8 | |
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helmet | 11.1 | |
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old | 11.1 | |
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safety | 11 | |
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war | 10.6 | |
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adult | 10.3 | |
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mask | 10.3 | |
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light | 10 | |
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labor | 9.7 | |
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steel | 9.7 | |
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industry | 9.4 | |
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dark | 9.2 | |
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industrial | 9.1 | |
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fashion | 9 | |
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welder | 8.9 | |
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western | 8.7 | |
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military | 8.7 | |
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weapon | 8.5 | |
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equipment | 8.2 | |
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gun | 8 | |
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job | 8 | |
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hair | 7.9 | |
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women | 7.9 | |
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battle | 7.8 | |
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cigarette | 7.8 | |
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part | 7.7 | |
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construction | 7.7 | |
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machine | 7.6 | |
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head | 7.5 | |
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military uniform | 7.5 | |
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technology | 7.4 | |
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retro | 7.4 | |
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guy | 7.3 | |
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sexy | 7.2 | |
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smile | 7.1 | |
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Google
created on 2018-05-10
photograph | 95.1 | |
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black and white | 85.7 | |
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human behavior | 81.9 | |
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snapshot | 81.8 | |
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photography | 80.1 | |
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monochrome | 71 | |
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monochrome photography | 66.9 | |
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darkness | 63.2 | |
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military | 58 | |
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soldier | 53.4 | |
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Microsoft
created on 2018-05-10
old | 47.2 | |
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Color Analysis
Feature analysis
Categories
Imagga
events parties | 61.2% | |
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food drinks | 14.2% | |
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interior objects | 12% | |
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paintings art | 6.8% | |
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people portraits | 3.1% | |
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streetview architecture | 1.7% | |
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Captions
Microsoft
created on 2018-05-10
an old photo of a man | 69.3% | |
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a black and white photo of a man | 62.7% | |
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old photo of a man | 62.6% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43155228/291,238,68,24/full/0/native.jpg)
COFFEE
![](https://ids.lib.harvard.edu/ids/iiif/43155228/291,235,105,28/full/0/native.jpg)
COFFEE SHO
![](https://ids.lib.harvard.edu/ids/iiif/43155228/360,235,36,21/full/0/native.jpg)
SHO
![](https://ids.lib.harvard.edu/ids/iiif/43155228/182,260,78,26/full/0/native.jpg)
SIGNS
![](https://ids.lib.harvard.edu/ids/iiif/43155228/680,67,37,17/full/0/native.jpg)
WAY
![](https://ids.lib.harvard.edu/ids/iiif/43155228/132,21,147,54/full/0/native.jpg)
CIGARS
![](https://ids.lib.harvard.edu/ids/iiif/43155228/154,260,106,28/full/0/native.jpg)
CITY SIGNS
![](https://ids.lib.harvard.edu/ids/iiif/43155228/637,31,81,29/full/0/native.jpg)
W.49 ST
![](https://ids.lib.harvard.edu/ids/iiif/43155228/155,267,22,9/full/0/native.jpg)
CITY
![](https://ids.lib.harvard.edu/ids/iiif/43155228/125,109,173,78/full/0/native.jpg)
FROM5¢UP
![](https://ids.lib.harvard.edu/ids/iiif/43155228/557,277,83,19/full/0/native.jpg)
BAREGRI
![](https://ids.lib.harvard.edu/ids/iiif/43155228/51,250,44,10/full/0/native.jpg)
was
![](https://ids.lib.harvard.edu/ids/iiif/43155228/853,131,96,82/full/0/native.jpg)
with
![](https://ids.lib.harvard.edu/ids/iiif/43155228/581,268,37,11/full/0/native.jpg)
upper
![](https://ids.lib.harvard.edu/ids/iiif/43155228/184,262,78,28/full/0/native.jpg)
SIGNS
![](https://ids.lib.harvard.edu/ids/iiif/43155228/184,262,78,28/full/0/native.jpg)
SIGNS