Machine Generated Data
Tags
Amazon
created on 2019-07-06
Clarifai
created on 2019-07-06
Imagga
created on 2019-07-06
bowl | 72.9 | |
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container | 63 | |
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china | 58.9 | |
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ceramic ware | 56.9 | |
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porcelain | 47.9 | |
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vessel | 44.1 | |
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cup | 42.9 | |
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utensil | 41.2 | |
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earthenware | 34.5 | |
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drink | 25 | |
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majolica | 20.4 | |
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glass | 19.3 | |
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beverage | 19.2 | |
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vase | 18.5 | |
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object | 18.3 | |
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nobody | 15.5 | |
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food | 15.1 | |
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pot | 13.9 | |
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tableware | 13.5 | |
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kitchen | 13.4 | |
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mixing bowl | 13.4 | |
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fresh | 12.4 | |
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color | 12.2 | |
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tea | 12.2 | |
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empty | 12 | |
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close | 12 | |
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alcohol | 11.6 | |
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closeup | 11.4 | |
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refreshment | 10.9 | |
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water | 10.7 | |
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ceramic | 10.6 | |
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bar | 10.2 | |
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transparent | 9.9 | |
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dish | 9.8 | |
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saucer | 9.7 | |
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pottery | 9.7 | |
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restaurant | 9.5 | |
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jar | 9.2 | |
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flower | 9.2 | |
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single | 9 | |
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health | 9 | |
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punch | 9 | |
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diet | 8.9 | |
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silver | 8.8 | |
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brown | 8.8 | |
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wooden | 8.8 | |
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liquid | 8.7 | |
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decoration | 8.7 | |
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cold | 8.6 | |
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art | 8.5 | |
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hot | 8.4 | |
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taste | 8.3 | |
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healthy | 8.2 | |
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metal | 8 | |
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celebration | 8 | |
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soup bowl | 7.9 | |
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holiday | 7.9 | |
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luxury | 7.7 | |
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can | 7.7 | |
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craft | 7.6 | |
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herbal | 7.6 | |
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clean | 7.5 | |
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gold | 7.4 | |
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yellow | 7.3 | |
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shiny | 7.1 | |
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breakfast | 7.1 | |
|
Google
created on 2019-07-06
Microsoft
created on 2019-07-06
vase | 99.4 | |
| ||
bowl | 97.9 | |
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earthenware | 96.5 | |
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plant | 95.9 | |
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ceramic | 95.8 | |
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pottery | 93.2 | |
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mixing bowl | 92.7 | |
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plate | 91.9 | |
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flowerpot | 78 | |
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platter | 77.6 | |
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serveware | 66.9 | |
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jug | 63.5 | |
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saucer | 63.4 | |
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blue and white porcelain | 63.4 | |
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tableware | 60.1 | |
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ceramic ware | 56.2 | |
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blue | 49.3 | |
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dishware | 34.7 | |
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stoneware | 28.4 | |
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porcelain | 5.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 35-52 |
Gender | Male, 95.7% |
Happy | 4.7% |
Sad | 2.2% |
Confused | 1.9% |
Disgusted | 0.3% |
Calm | 89.1% |
Angry | 1.2% |
Surprised | 0.7% |