Machine Generated Data
Tags
Amazon
created on 2019-07-20
Paint Container | 99.1 | |
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Palette | 98.9 | |
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Rug | 97.5 | |
|
Clarifai
created on 2019-07-20
no person | 99 | |
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graphic design | 93.9 | |
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stacks | 90.6 | |
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paper | 90.6 | |
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contemporary | 88.3 | |
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architecture | 85.9 | |
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retro | 85.9 | |
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isolated | 84.3 | |
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business | 83.4 | |
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empty | 83.2 | |
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traditional | 83.2 | |
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creativity | 81.3 | |
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indoors | 80.6 | |
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motley | 80.1 | |
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family | 80 | |
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arts and crafts | 80 | |
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glass items | 79 | |
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illustration | 78.7 | |
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kind | 77.9 | |
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plastic | 77.1 | |
|
Imagga
created on 2019-07-20
pill bottle | 100 | |
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bottle | 100 | |
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vessel | 83 | |
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container | 62.9 | |
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glass | 31.1 | |
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health | 19.4 | |
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spa | 17.9 | |
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close | 17.1 | |
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healthy | 16.4 | |
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drink | 15.9 | |
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liquid | 15.5 | |
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wellness | 14.6 | |
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aromatherapy | 14.4 | |
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towel | 14.3 | |
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bath | 14.2 | |
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treatment | 13.8 | |
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beverage | 13.8 | |
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fresh | 13.7 | |
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alcohol | 13.2 | |
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therapy | 13.2 | |
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bottles | 12.7 | |
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object | 11.7 | |
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beer | 11.7 | |
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care | 11.5 | |
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medicine | 11.4 | |
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natural | 11.4 | |
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food | 11 | |
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jar | 10.7 | |
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table | 10.4 | |
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oil | 10.2 | |
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relaxation | 10 | |
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refreshment | 10 | |
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yellow | 9.9 | |
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soap | 9.7 | |
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brown | 9.6 | |
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relax | 9.3 | |
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clean | 9.2 | |
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towels | 8.8 | |
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medical | 8.8 | |
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ingredient | 8.8 | |
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closeup | 8.8 | |
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cold | 8.6 | |
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party | 8.6 | |
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hygiene | 8.5 | |
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product | 8.3 | |
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full | 8.2 | |
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wooden | 7.9 | |
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essential | 7.9 | |
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scented | 7.8 | |
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bubbles | 7.6 | |
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cosmetics | 7.5 | |
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pure | 7.4 | |
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bar | 7.4 | |
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fruit | 7.3 | |
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breakfast | 7.1 | |
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lager | 7 | |
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Google
created on 2019-07-20
Rectangle | 57.7 | |
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Tints and shades | 56 | |
|
Microsoft
created on 2019-07-20
design | 74.2 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/48482228/191,92,1151,1432/full/0/native.jpg)
Rug | 97.5% | |
|
Categories
Imagga
paintings art | 92.4% | |
| ||
interior objects | 7.4% | |
|
Captions
Microsoft
created on 2019-07-20
a close up of a bottle | 34.4% | |
| ||
close up of a bottle | 29.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1729,778,64,62/full/0/native.jpg)
di
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1627,918,182,55/full/0/native.jpg)
Yotura
![](https://ids.lib.harvard.edu/ids/iiif/48482228/233,730,1,3/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/48482228/249,691,0,0/full/0/native.jpg)
cm.
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1622,796,90,44/full/0/native.jpg)
lvra
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1620,783,257,70/full/0/native.jpg)
lvra di Uur
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1806,778,71,64/full/0/native.jpg)
Uur
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1644,855,181,53/full/0/native.jpg)
Florenee
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1848,874,47,38/full/0/native.jpg)
9y
![](https://ids.lib.harvard.edu/ids/iiif/48482228/256,590,1626,400/full/0/native.jpg)
wa di Vun
Flounes 19
Yatural
5 cm.
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1604,775,108,75/full/0/native.jpg)
wa
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1731,780,71,74/full/0/native.jpg)
di
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1798,784,83,74/full/0/native.jpg)
Vun
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1638,852,186,76/full/0/native.jpg)
Flounes
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1836,865,44,66/full/0/native.jpg)
19
![](https://ids.lib.harvard.edu/ids/iiif/48482228/1615,918,217,71/full/0/native.jpg)
Yatural
![](https://ids.lib.harvard.edu/ids/iiif/48482228/256,694,40,29/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/48482228/264,590,34,89/full/0/native.jpg)
cm.