Machine Generated Data
Tags
Amazon
created on 2019-07-20
Paint Container | 97.9 | |
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Rug | 93.7 | |
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Palette | 93.4 | |
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Cosmetics | 68.7 | |
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Clarifai
created on 2019-07-20
no person | 99.7 | |
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graphic design | 94.8 | |
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contemporary | 94.5 | |
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architecture | 90.9 | |
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plastic | 89.1 | |
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family | 89 | |
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retro | 88.9 | |
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isolated | 88.2 | |
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stacks | 87.2 | |
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empty | 86.5 | |
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traditional | 86.4 | |
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interior design | 85.8 | |
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indoors | 85.4 | |
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motley | 83.5 | |
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business | 83.1 | |
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bright | 81.5 | |
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paper | 80.5 | |
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health | 79.8 | |
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glass items | 78.1 | |
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classic | 77.7 | |
|
Imagga
created on 2019-07-20
bottle | 61 | |
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container | 46.5 | |
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pill bottle | 26.3 | |
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glass | 25.7 | |
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vessel | 24.8 | |
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syrup | 22.4 | |
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jar | 19.5 | |
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liquid | 19.3 | |
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medicine | 18.5 | |
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bottles | 15.6 | |
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color | 15.6 | |
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healthy | 15.1 | |
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health | 12.5 | |
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medical | 12.4 | |
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pop | 11.8 | |
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jelly | 11.6 | |
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close | 11.4 | |
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food | 11.3 | |
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plastic | 11 | |
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box | 11 | |
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drink | 10.9 | |
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yellow | 9.9 | |
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fresh | 9.8 | |
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pharmacy | 9.7 | |
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object | 9.5 | |
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business | 9.1 | |
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ingredient | 8.8 | |
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prescription | 8.8 | |
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vitamin | 8.8 | |
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substance | 8.7 | |
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natural | 8.7 | |
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aromatherapy | 8.6 | |
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cap | 8.6 | |
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design | 8.4 | |
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black | 8.4 | |
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clean | 8.3 | |
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child | 8.3 | |
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spa | 8.1 | |
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pharmaceutical | 7.8 | |
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3d | 7.7 | |
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block | 7.7 | |
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finance | 7.6 | |
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diet | 7.6 | |
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reflection | 7.5 | |
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stack | 7.4 | |
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brown | 7.4 | |
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fruit | 7.3 | |
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beverage | 7.3 | |
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transparent | 7.2 | |
|
Google
created on 2019-07-20
Product | 94.1 | |
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Glass bottle | 90.5 | |
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Bottle | 87.6 | |
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Liquid | 73.6 | |
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Glass | 53.8 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/48482339/275,326,951,1262/full/0/native.jpg)
Rug | 93.7% | |
|
Categories
Imagga
interior objects | 97.1% | |
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paintings art | 1.6% | |
|
Captions
Microsoft
created on 2019-07-20
a close up of a bottle | 66.6% | |
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close up of a bottle | 61.6% | |
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a close up of a bottle on a table | 46.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1639,820,142,46/full/0/native.jpg)
CADMI
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1856,804,95,46/full/0/native.jpg)
RED
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1638,811,312,54/full/0/native.jpg)
CADMI UM RED
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1777,804,66,49/full/0/native.jpg)
UM
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1793,697,117,44/full/0/native.jpg)
ATTM,
![](https://ids.lib.harvard.edu/ids/iiif/48482339/330,881,0,1/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/48482339/338,848,0,0/full/0/native.jpg)
cm.
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1793,695,215,45/full/0/native.jpg)
ATTM, heo
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1937,704,71,34/full/0/native.jpg)
heo
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1735,873,229,73/full/0/native.jpg)
100219
![](https://ids.lib.harvard.edu/ids/iiif/48482339/330,703,1798,808/full/0/native.jpg)
ATTN hooKs
WEBER
CADMI UM RED
a01,19
5 cm.
0
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1808,703,103,40/full/0/native.jpg)
ATTN
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1936,705,123,50/full/0/native.jpg)
hooKs
![](https://ids.lib.harvard.edu/ids/iiif/48482339/2046,813,82,52/full/0/native.jpg)
WEBER
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1650,815,130,50/full/0/native.jpg)
CADMI
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1782,814,61,44/full/0/native.jpg)
UM
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1860,810,90,54/full/0/native.jpg)
RED
![](https://ids.lib.harvard.edu/ids/iiif/48482339/1717,874,267,88/full/0/native.jpg)
a01,19
![](https://ids.lib.harvard.edu/ids/iiif/48482339/344,849,35,26/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/48482339/352,763,29,75/full/0/native.jpg)
cm.
![](https://ids.lib.harvard.edu/ids/iiif/48482339/330,1485,35,26/full/0/native.jpg)
0