Machine Generated Data
Tags
Amazon
created on 2023-10-24
Food | 95.5 | |
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Fruit | 95.5 | |
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Plant | 95.5 | |
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Produce | 95.5 | |
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Person | 90 | |
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Shop | 89.7 | |
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Citrus Fruit | 71.7 | |
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Grocery Store | 71.1 | |
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Market | 70.6 | |
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Grapefruit | 57.2 | |
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Bazaar | 57.2 | |
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Indoors | 55.1 | |
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Clarifai
created on 2023-10-15
Imagga
created on 2019-02-03
bottle | 18.8 | |
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food | 16.5 | |
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fruit | 16.5 | |
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glass | 16.5 | |
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seller | 14.6 | |
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old | 13.2 | |
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wine | 13.2 | |
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alcohol | 13.1 | |
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beverage | 11.9 | |
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drink | 11.7 | |
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container | 10.7 | |
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shop | 10.5 | |
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brown | 10.3 | |
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grape | 9.8 | |
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rural | 9.7 | |
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urban | 9.6 | |
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grapes | 9.6 | |
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life | 9.5 | |
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table | 9.5 | |
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building | 9.3 | |
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shovel | 8.9 | |
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tool | 8.8 | |
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celebration | 8.8 | |
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vine | 8.6 | |
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restaurant | 8.6 | |
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yellow | 8.6 | |
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vintage | 8.5 | |
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fresh | 8.5 | |
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people | 8.4 | |
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dark | 8.3 | |
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decoration | 8 | |
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product | 7.8 | |
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delicious | 7.5 | |
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outdoors | 7.5 | |
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hand tool | 7.4 | |
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still | 7.4 | |
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garlic | 7.4 | |
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street | 7.4 | |
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person | 7 | |
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country | 7 | |
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Google
created on 2019-02-03
Black-and-white | 80.7 | |
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Monochrome | 72.4 | |
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Photography | 67.8 | |
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Style | 51 | |
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Microsoft
created on 2019-02-03
black and white | 15.1 | |
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monochrome | 8.2 | |
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chess | 5 | |
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food | 3.9 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15511045/627,100,69,365/full/0/native.jpg)
Person | 90% | |
|
Categories
Imagga
paintings art | 99.2% | |
|
Captions
Microsoft
created on 2019-02-03
a stack of flyers on a table | 64.6% | |
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a sign on a table | 60.5% | |
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a table that has a sign on a wall | 59% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15511045/594,479,67,59/full/0/native.jpg)
19
![](https://ids.lib.harvard.edu/ids/iiif/15511045/274,277,39,48/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/15511045/23,243,31,13/full/0/native.jpg)
FRUIT
![](https://ids.lib.harvard.edu/ids/iiif/15511045/417,436,59,15/full/0/native.jpg)
BERRIES
![](https://ids.lib.harvard.edu/ids/iiif/15511045/423,515,31,12/full/0/native.jpg)
Box
![](https://ids.lib.harvard.edu/ids/iiif/15511045/286,307,62,44/full/0/native.jpg)
10
![](https://ids.lib.harvard.edu/ids/iiif/15511045/411,424,55,15/full/0/native.jpg)
CHOICE
![](https://ids.lib.harvard.edu/ids/iiif/15511045/26,310,36,43/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/15511045/506,712,39,11/full/0/native.jpg)
BEST
![](https://ids.lib.harvard.edu/ids/iiif/15511045/38,261,19,19/full/0/native.jpg)
for
![](https://ids.lib.harvard.edu/ids/iiif/15511045/57,317,9,12/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/15511045/274,275,65,50/full/0/native.jpg)
5 the
![](https://ids.lib.harvard.edu/ids/iiif/15511045/20,429,61,27/full/0/native.jpg)
RLE
![](https://ids.lib.harvard.edu/ids/iiif/15511045/23,226,37,17/full/0/native.jpg)
PECIAL
![](https://ids.lib.harvard.edu/ids/iiif/15511045/26,310,36,43/full/0/native.jpg)
4 . -
![](https://ids.lib.harvard.edu/ids/iiif/15511045/41,350,7,4/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/15511045/502,699,58,12/full/0/native.jpg)
JERSEY
![](https://ids.lib.harvard.edu/ids/iiif/15511045/296,70,31,7/full/0/native.jpg)
SUILEY
![](https://ids.lib.harvard.edu/ids/iiif/15511045/608,461,59,15/full/0/native.jpg)
CHEARIES
![](https://ids.lib.harvard.edu/ids/iiif/15511045/610,534,39,16/full/0/native.jpg)
SOURD
![](https://ids.lib.harvard.edu/ids/iiif/15511045/36,350,4,3/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/15511045/21,408,66,20/full/0/native.jpg)
CTAR
![](https://ids.lib.harvard.edu/ids/iiif/15511045/312,288,26,19/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/15511045/307,77,39,9/full/0/native.jpg)
LEMBIES
![](https://ids.lib.harvard.edu/ids/iiif/15511045/536,256,26,8/full/0/native.jpg)
aceres
![](https://ids.lib.harvard.edu/ids/iiif/15511045/418,436,63,95/full/0/native.jpg)
BERRIES
Bax
![](https://ids.lib.harvard.edu/ids/iiif/15511045/418,436,63,19/full/0/native.jpg)
BERRIES
![](https://ids.lib.harvard.edu/ids/iiif/15511045/425,516,33,15/full/0/native.jpg)
Bax