Machine Generated Data
Tags
Amazon
created on 2019-07-07
Clarifai
created on 2019-07-07
Imagga
created on 2019-07-07
glass | 64 | |
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container | 60.6 | |
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vase | 57.1 | |
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jar | 40.2 | |
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earthenware | 39.4 | |
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cup | 38.6 | |
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vessel | 35.4 | |
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ceramic ware | 33.7 | |
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drink | 33.4 | |
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utensil | 24.9 | |
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goblet | 23.7 | |
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alcohol | 22.6 | |
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liquid | 20.9 | |
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beverage | 19.2 | |
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brown | 19.1 | |
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object | 19.1 | |
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gold | 17.3 | |
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golden | 17.2 | |
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refreshment | 16.3 | |
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transparent | 16.1 | |
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cold | 15.5 | |
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culture | 15.4 | |
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china | 14.8 | |
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single | 14 | |
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yellow | 13.9 | |
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bar | 13.9 | |
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beer | 13.6 | |
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traditional | 13.3 | |
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majolica | 13.2 | |
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close | 12.6 | |
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old | 12.5 | |
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wet | 12.5 | |
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art | 12.5 | |
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lager | 12.3 | |
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food | 12.1 | |
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party | 12 | |
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decoration | 11.6 | |
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pot | 11.5 | |
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cool | 11.5 | |
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tableware | 11.4 | |
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bubble | 11.3 | |
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jug | 11.2 | |
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color | 11.1 | |
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drop | 10.9 | |
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froth | 10.8 | |
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pitcher | 10.6 | |
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fresh | 10.5 | |
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bubbles | 10.4 | |
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celebration | 10.4 | |
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restaurant | 10.3 | |
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tea | 10.3 | |
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full | 10 | |
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decorative | 10 | |
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pint | 9.9 | |
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mug | 9.8 | |
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antique | 9.8 | |
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amber | 9.8 | |
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foam | 9.7 | |
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craft | 9.6 | |
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closeup | 9.4 | |
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porcelain | 9.2 | |
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history | 8.9 | |
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reflection | 8.9 | |
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ale | 8.8 | |
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pub | 8.8 | |
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thirsty | 8.8 | |
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light | 8.7 | |
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bright | 8.6 | |
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luxury | 8.6 | |
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glasses | 8.3 | |
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water | 8 | |
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design | 7.9 | |
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pottery | 7.9 | |
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ceramics | 7.8 | |
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egg | 7.8 | |
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ancient | 7.8 | |
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nobody | 7.8 | |
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healthy | 7.6 | |
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freshness | 7.5 | |
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east | 7.5 | |
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wine | 7.5 | |
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style | 7.4 | |
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symbol | 7.4 | |
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business | 7.3 | |
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world | 7.1 | |
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Google
created on 2019-07-07
earthenware | 96 | |
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Ceramic | 94.7 | |
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Urn | 91.7 | |
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Artifact | 88.4 | |
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Vase | 88.3 | |
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Pottery | 78 | |
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Art | 58.1 | |
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Ancient history | 54.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Male, 79.9% |
Confused | 8.1% |
Surprised | 3% |
Happy | 3.6% |
Angry | 3.7% |
Calm | 57.7% |
Sad | 23.3% |
Disgusted | 0.7% |
Feature analysis
Amazon
Beer | 91.4% | |
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