Machine Generated Data
Tags
Amazon
created on 2022-06-10
Clarifai
created on 2023-10-29
Imagga
created on 2022-06-10
ingot | 46.4 | |
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money | 41.7 | |
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currency | 38.6 | |
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block | 36.9 | |
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finance | 32.1 | |
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cash | 28.4 | |
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coin | 27.7 | |
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bank | 27 | |
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ceramic ware | 26.8 | |
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shield | 25.5 | |
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dollar | 25.1 | |
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financial | 25 | |
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wealth | 24.2 | |
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banking | 22.1 | |
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metal | 21.7 | |
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one | 20.2 | |
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pottery | 19.6 | |
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utensil | 19.5 | |
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armor | 19 | |
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close | 18.8 | |
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business | 18.8 | |
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coins | 18.3 | |
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pay | 16.3 | |
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exchange | 16.2 | |
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protective covering | 15.9 | |
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china | 15.7 | |
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economy | 14.8 | |
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gold | 14.8 | |
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old | 14.6 | |
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change | 14.4 | |
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savings | 14 | |
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porcelain | 13.7 | |
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silver | 13.3 | |
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round | 12.9 | |
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dollars | 12.6 | |
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paper | 11.8 | |
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monetary | 11.7 | |
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us | 11.6 | |
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finances | 11.6 | |
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payment | 11.5 | |
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bill | 11.4 | |
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golden | 11.2 | |
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rich | 11.2 | |
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numismatics | 10.9 | |
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covering | 10.9 | |
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closeup | 10.8 | |
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retro | 10.7 | |
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hundred | 10.7 | |
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shiny | 10.3 | |
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object | 10.3 | |
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vintage | 9.9 | |
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commerce | 9.3 | |
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design | 9.2 | |
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container | 9.1 | |
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art | 8.8 | |
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states | 8.7 | |
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tray | 8.6 | |
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buy | 8.5 | |
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investment | 8.3 | |
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collection | 8.1 | |
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symbol | 8.1 | |
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icon | 7.9 | |
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copper | 7.8 | |
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black | 7.8 | |
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bills | 7.8 | |
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banknote | 7.8 | |
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value | 7.8 | |
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grunge | 7.7 | |
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united | 7.6 | |
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antique | 7.3 | |
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world | 7.3 | |
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market | 7.1 | |
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card | 7.1 | |
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toiletry | 7 | |
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Google
created on 2022-06-10
Head | 97.4 | |
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Dishware | 89.9 | |
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Art | 82.7 | |
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Serveware | 81.8 | |
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Headgear | 81.6 | |
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Font | 77.7 | |
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Rectangle | 77.5 | |
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Circle | 75.5 | |
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Artifact | 74.1 | |
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Metal | 68.1 | |
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Monochrome photography | 67.2 | |
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Sculpture | 66.9 | |
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Relief | 65.7 | |
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Visual arts | 64.6 | |
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Monochrome | 63.9 | |
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Carving | 63.6 | |
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Pattern | 62.7 | |
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Stock photography | 62.4 | |
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Fashion accessory | 61.9 | |
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Still life photography | 61.8 | |
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Microsoft
created on 2022-06-10
text | 92.6 | |
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ceramic ware | 31.1 | |
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set | 26.2 | |
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porcelain | 11.7 | |
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picture frame | 10.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 45-53 |
Gender | Male, 99.9% |
Happy | 86.2% |
Calm | 11.6% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.2% |
Confused | 0.6% |
Disgusted | 0.5% |
Angry | 0.2% |
Feature analysis
Amazon
Person | 94.7% | |
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