Machine Generated Data
Tags
Amazon
created on 2019-07-07
Bronze | 90.4 | |
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Pottery | 85 | |
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Rug | 61.3 | |
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Bowl | 60.8 | |
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Jar | 60.6 | |
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Percussion | 60.3 | |
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Musical Instrument | 60.3 | |
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Drum | 60.3 | |
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Clarifai
created on 2019-07-07
Imagga
created on 2019-07-07
currency | 33.2 | |
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money | 32.4 | |
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coin | 27.7 | |
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finance | 24.5 | |
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close | 22.3 | |
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object | 21.3 | |
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coins | 21.3 | |
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leather | 21.2 | |
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cash | 21.1 | |
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metal | 19.3 | |
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bank | 18.8 | |
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japan | 18.8 | |
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banking | 18.4 | |
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food | 18.4 | |
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brown | 16.9 | |
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closeup | 16.9 | |
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financial | 16.1 | |
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old | 16 | |
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pay | 15.4 | |
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animal skin | 15.3 | |
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wealth | 15.3 | |
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fruit | 14.7 | |
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single | 13.2 | |
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tropical | 12.8 | |
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business | 12.8 | |
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one | 12.7 | |
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healthy | 12.6 | |
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round | 12.1 | |
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circle | 12 | |
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sweet | 11.1 | |
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bronze | 10.5 | |
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economy | 10.2 | |
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wood | 10.1 | |
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vintage | 9.9 | |
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retro | 9.8 | |
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copper | 9.8 | |
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silver | 9.7 | |
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nut | 9.7 | |
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change | 9.6 | |
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exchange | 9.6 | |
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burlap | 9.4 | |
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china | 9.4 | |
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coconut | 9.1 | |
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shiny | 8.7 | |
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two | 8.5 | |
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tasty | 8.4 | |
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color | 8.3 | |
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container | 8.3 | |
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face powder | 8.2 | |
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toiletry | 8.2 | |
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symbol | 8.1 | |
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diet | 8.1 | |
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utensil | 8 | |
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numismatics | 7.9 | |
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fresh | 7.8 | |
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ceramic ware | 7.8 | |
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nobody | 7.8 | |
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payment | 7.7 | |
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whole | 7.7 | |
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eating | 7.6 | |
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bamboo | 7.5 | |
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savings | 7.5 | |
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antique | 7.4 | |
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dollar | 7.4 | |
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bangle | 7.4 | |
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exotic | 7.3 | |
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powder | 7.3 | |
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ripe | 7.3 | |
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collection | 7.2 | |
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material | 7.1 | |
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porcelain | 7 | |
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Google
created on 2019-07-07
Microsoft
created on 2019-07-07
ceramic | 61.6 | |
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oval | 51.7 | |
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plant | 49.8 | |
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ceramic ware | 32.5 | |
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porcelain | 7.5 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 29-45 |
Gender | Male, 81.5% |
Confused | 2% |
Happy | 0.2% |
Calm | 20.2% |
Sad | 71.1% |
Angry | 4.7% |
Surprised | 0.6% |
Disgusted | 1.2% |
Feature analysis
Amazon
Rug | 61.3% | |
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Text analysis
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