Machine Generated Data
Tags
Amazon
created on 2022-01-09
Clarifai
created on 2023-10-25
tableware | 99.3 | |
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porcelain | 98.9 | |
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no person | 98.4 | |
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table | 98.2 | |
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decoration | 96.5 | |
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people | 95.9 | |
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many | 95.1 | |
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set | 95.1 | |
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group | 94.8 | |
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pottery | 94.8 | |
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candle | 94.8 | |
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silverware | 94.5 | |
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dishware | 94.5 | |
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retro | 94.4 | |
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tablecloth | 94 | |
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cutlery | 93.5 | |
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teapot | 93.3 | |
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glass items | 92.8 | |
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art | 92.4 | |
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antique | 92.2 | |
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Imagga
created on 2022-01-09
glass | 40.1 | |
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freight car | 27.9 | |
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cup | 23.3 | |
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container | 22.6 | |
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car | 20.8 | |
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table | 20.2 | |
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restaurant | 18.2 | |
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wheeled vehicle | 17.6 | |
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setting | 16.4 | |
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dinner | 16.2 | |
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wedding | 15.6 | |
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plate | 15.2 | |
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party | 14.6 | |
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drink | 14.2 | |
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wine | 14.1 | |
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celebration | 13.6 | |
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decoration | 13.4 | |
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liquid | 13 | |
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shoe | 12.9 | |
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vehicle | 12.8 | |
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banquet | 12.6 | |
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interior | 12.4 | |
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wineglass | 12.2 | |
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black | 11.4 | |
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dining | 11.4 | |
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tableware | 11.3 | |
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food | 11.2 | |
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luxury | 11.1 | |
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meal | 10.8 | |
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glasses | 10.2 | |
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event | 10.2 | |
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chair | 10 | |
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reception | 9.8 | |
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lunch | 9.5 | |
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cold | 9.5 | |
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elegant | 9.4 | |
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vessel | 9.4 | |
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set | 9.3 | |
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place | 9.3 | |
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service | 9.3 | |
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silverware | 9.2 | |
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fashion | 9 | |
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shoes | 8.6 | |
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ice | 8.3 | |
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seat | 8.2 | |
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cool | 8 | |
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home | 8 | |
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decor | 8 | |
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footwear | 7.8 | |
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clear | 7.8 | |
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catering | 7.8 | |
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objects | 7.8 | |
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flowers | 7.8 | |
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cutlery | 7.8 | |
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napkin | 7.8 | |
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arrangement | 7.7 | |
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fork | 7.7 | |
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formal | 7.6 | |
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beverage | 7.6 | |
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bouquet | 7.5 | |
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ladle | 7.4 | |
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style | 7.4 | |
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water | 7.3 | |
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breakfast | 7.2 | |
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wealth | 7.2 | |
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alcohol | 7.1 | |
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steel | 7.1 | |
|
Google
created on 2022-01-09
Tableware | 93.9 | |
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Drinkware | 93.5 | |
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Dishware | 91.9 | |
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Black-and-white | 85.6 | |
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Stemware | 84.6 | |
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Serveware | 84.5 | |
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Style | 83.9 | |
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Tablecloth | 82.1 | |
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Cup | 80.8 | |
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Monochrome photography | 76.7 | |
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Monochrome | 76.1 | |
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Pattern | 74.7 | |
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Snapshot | 74.3 | |
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Font | 74.1 | |
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Art | 73.1 | |
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Glass | 72.7 | |
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Event | 72.5 | |
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Linens | 71.3 | |
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Porcelain | 70.5 | |
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Metal | 68.8 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-31 |
Gender | Male, 56.8% |
Sad | 33.2% |
Disgusted | 31.5% |
Fear | 13.3% |
Angry | 10.1% |
Calm | 4.9% |
Confused | 4.1% |
Happy | 1.7% |
Surprised | 1.2% |
Feature analysis
Text analysis
Amazon
11752.
50
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11752
1752.
1752.