Machine Generated Data
Tags
Amazon
created on 2022-04-08
Clarifai
created on 2023-10-14
Imagga
created on 2022-04-08
china | 62.1 | |
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ceramic ware | 58.9 | |
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vase | 52.2 | |
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porcelain | 50.7 | |
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utensil | 41.5 | |
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decoration | 39.8 | |
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jar | 39.4 | |
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vessel | 39.3 | |
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ornament | 35.4 | |
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earthenware | 32.5 | |
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container | 32.4 | |
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ball | 31.5 | |
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holiday | 29.4 | |
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celebration | 28.7 | |
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glass | 26.9 | |
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traditional | 25 | |
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sphere | 24.9 | |
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gold | 24.7 | |
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shiny | 24.5 | |
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season | 24.2 | |
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bangle | 23.1 | |
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object | 22.7 | |
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balls | 21.1 | |
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seasonal | 21 | |
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decorative | 20.1 | |
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winter | 19.6 | |
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color | 18.4 | |
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bauble | 17.6 | |
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celebrate | 17.2 | |
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tradition | 16.6 | |
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glitter | 16.4 | |
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festive | 15.7 | |
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golden | 15.5 | |
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merry | 15.3 | |
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decorate | 15.2 | |
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teapot | 15.2 | |
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antique | 15.1 | |
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old | 13.9 | |
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pot | 13.8 | |
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objects | 13.1 | |
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round | 13 | |
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ornate | 12.8 | |
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hanging | 12.5 | |
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bright | 12.2 | |
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retro | 11.5 | |
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close | 11.4 | |
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party | 11.2 | |
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tree | 10.8 | |
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ornaments | 10.7 | |
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ornamental | 10.5 | |
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culture | 10.3 | |
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design | 10.1 | |
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year | 10 | |
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vintage | 9.9 | |
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single | 9.9 | |
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art | 9.8 | |
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handle | 9.6 | |
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closeup | 9.4 | |
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jug | 9.4 | |
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yellow | 9.3 | |
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black | 9 | |
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snow | 9 | |
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new | 8.9 | |
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silver | 8.9 | |
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lid | 8.8 | |
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liquid | 8.7 | |
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bottle | 8.7 | |
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eve | 8.6 | |
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dome | 8.6 | |
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holidays | 8.4 | |
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metal | 8.1 | |
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decor | 8 | |
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adornment | 7.9 | |
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hang | 7.8 | |
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ancient | 7.8 | |
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craft | 7.6 | |
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shine | 7.4 | |
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water | 7.3 | |
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food | 7.3 | |
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kitchen | 7.2 | |
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history | 7.2 | |
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nobody | 7 | |
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Google
created on 2022-04-08
Brown | 98 | |
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Automotive tire | 90.4 | |
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Wood | 87.7 | |
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Motor vehicle | 85.6 | |
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Font | 84.5 | |
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Rectangle | 83.8 | |
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Artifact | 81.9 | |
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Art | 78.3 | |
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Wheel | 78.2 | |
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Creative arts | 77.3 | |
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Tints and shades | 76.4 | |
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Automotive exterior | 76.3 | |
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Auto part | 73.7 | |
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Relief | 73.5 | |
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Rolling | 73.5 | |
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Metal | 73.2 | |
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Automotive wheel system | 73.1 | |
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Carving | 71.8 | |
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Rim | 67.6 | |
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Automotive design | 66.9 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 29-39 |
Gender | Male, 99% |
Calm | 38.5% |
Sad | 34.6% |
Happy | 5.6% |
Angry | 5.6% |
Disgusted | 5.1% |
Surprised | 3.9% |
Confused | 3.6% |
Fear | 3.1% |