Machine Generated Data
Tags
Amazon
created on 2019-07-06
Clarifai
created on 2019-07-06
Imagga
created on 2019-07-06
cup | 73 | |
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container | 63 | |
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mug | 44.7 | |
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coffee mug | 40.4 | |
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vessel | 28.1 | |
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drinking vessel | 24.3 | |
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object | 22 | |
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drink | 20.9 | |
| ||
punch | 20.3 | |
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tableware | 19.5 | |
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beverage | 19.2 | |
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money | 17 | |
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metal | 16.9 | |
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coffee | 15.9 | |
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mixed drink | 15.3 | |
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ceramic ware | 15.1 | |
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close | 14.8 | |
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empty | 14.4 | |
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pottery | 14.1 | |
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utensil | 13.8 | |
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cash | 13.7 | |
| ||
glass | 13.6 | |
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currency | 13.5 | |
| ||
tea | 13.3 | |
| ||
paper | 12.9 | |
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ceramic | 12.6 | |
| ||
decoration | 12.3 | |
| ||
economy | 12.1 | |
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bowl | 11.9 | |
| ||
finance | 11.8 | |
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food | 11.7 | |
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saucer | 11.6 | |
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single | 11.5 | |
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alcohol | 11.4 | |
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liquid | 11.4 | |
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ware | 11.4 | |
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earthenware | 11.2 | |
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hot | 10.9 | |
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closeup | 10.8 | |
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breakfast | 10.6 | |
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business | 10.3 | |
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brown | 10.3 | |
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dollar | 10.2 | |
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bangle | 10.1 | |
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morning | 9.9 | |
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art | 9.8 | |
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cocoa | 9.6 | |
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can | 9.6 | |
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celebration | 9.6 | |
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color | 9.5 | |
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aroma | 9.4 | |
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plate | 9.3 | |
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flower | 9.2 | |
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china | 9.2 | |
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banking | 9.2 | |
| ||
full | 9.1 | |
| ||
spoon | 9 | |
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wealth | 9 | |
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kitchen | 8.9 | |
| ||
home | 8.8 | |
| ||
luxury | 8.6 | |
| ||
fresh | 8.5 | |
| ||
rich | 8.4 | |
| ||
vase | 8.3 | |
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pot | 8.2 | |
| ||
one | 8.2 | |
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bank | 8.1 | |
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product | 7.9 | |
| ||
design | 7.9 | |
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nobody | 7.8 | |
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caffeine | 7.7 | |
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coins | 7.7 | |
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save | 7.6 | |
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pattern | 7.5 | |
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chocolate | 7.5 | |
| ||
savings | 7.5 | |
| ||
detail | 7.2 | |
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black | 7.2 | |
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financial | 7.1 | |
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shiny | 7.1 | |
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antique | 7.1 | |
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silver | 7.1 | |
|
Google
created on 2019-07-06
Microsoft
created on 2019-07-06
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 4-9 |
Gender | Male, 53% |
Sad | 43.1% |
Happy | 1.4% |
Surprised | 2.7% |
Angry | 5.3% |
Calm | 44.3% |
Confused | 2.7% |
Disgusted | 0.6% |