Machine Generated Data
Tags
Amazon
created on 2019-04-09
Clarifai
created on 2018-02-10
Imagga
created on 2018-02-10
bangle | 59.7 | |
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container | 34.8 | |
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device | 31.7 | |
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box | 27.9 | |
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antique | 25.6 | |
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chest | 22.5 | |
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gold | 22.2 | |
| ||
metal | 20.1 | |
| ||
decoration | 18.8 | |
| ||
old | 18.8 | |
| ||
food | 17.6 | |
| ||
treasure | 17.4 | |
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vintage | 16.5 | |
| ||
brown | 16.2 | |
| ||
wealth | 16.1 | |
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purse | 16 | |
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wood | 15.8 | |
| ||
ancient | 15.6 | |
| ||
golden | 15.5 | |
| ||
open | 15.3 | |
| ||
bag | 15 | |
| ||
closeup | 14.1 | |
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furniture | 13.9 | |
| ||
retro | 13.9 | |
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full | 13.7 | |
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close | 13.7 | |
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object | 13.2 | |
| ||
wooden | 13.2 | |
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rich | 12.1 | |
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book | 12 | |
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gem | 11.9 | |
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paper | 11.8 | |
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jewel | 11.6 | |
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jewelry | 11.5 | |
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bowl | 11.1 | |
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luxury | 10.3 | |
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money | 10.2 | |
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case | 10.1 | |
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nutrition | 10.1 | |
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eat | 10.1 | |
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earthenware | 10 | |
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currency | 9.9 | |
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fresh | 9.8 | |
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precious | 9.7 | |
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dessert | 9.7 | |
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leather | 9.6 | |
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healthy | 9.4 | |
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snack | 9.4 | |
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plate | 9.3 | |
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delicious | 9.1 | |
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color | 8.9 | |
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chocolate | 8.9 | |
| ||
silver | 8.8 | |
| ||
breakfast | 8.8 | |
| ||
diamond | 8.7 | |
| ||
shiny | 8.7 | |
| ||
sweet | 8.7 | |
| ||
meal | 8.1 | |
| ||
diet | 8.1 | |
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ring | 8.1 | |
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bible | 7.8 | |
| ||
carved | 7.8 | |
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black | 7.8 | |
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restaurant | 7.8 | |
| ||
table | 7.7 | |
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lock | 7.7 | |
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coin | 7.6 | |
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finance | 7.6 | |
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fashion | 7.5 | |
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tasty | 7.5 | |
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traditional | 7.5 | |
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bar | 7.4 | |
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aged | 7.2 | |
|
Google
created on 2018-02-10
Microsoft
created on 2018-02-10
ceramic ware | 56 | |
| ||
tableware | 39.3 | |
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dishware | 35.1 | |
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porcelain | 13.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 30-47 |
Gender | Male, 50.3% |
Confused | 49.6% |
Surprised | 49.5% |
Disgusted | 49.5% |
Calm | 49.7% |
Sad | 50.1% |
Happy | 49.6% |
Angry | 49.6% |
Captions
Microsoft
a close up of a bowl | 73% | |
| ||
a brown bowl on a table | 60% | |
| ||
a close up of a bowl on a table | 59.5% | |
|
Text analysis
Amazon

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