Machine Generated Data
Tags
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-10
clock | 46.1 | |
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money | 37.4 | |
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currency | 36.8 | |
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hand | 31.7 | |
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coin | 31.5 | |
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pointer | 28.6 | |
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finance | 27.9 | |
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amulet | 27.4 | |
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coins | 27 | |
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cash | 26.5 | |
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bank | 26 | |
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old | 25.8 | |
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banking | 25.7 | |
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hour hand | 25.7 | |
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antique | 25.6 | |
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timepiece | 25.2 | |
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indicator | 23.2 | |
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minute hand | 22 | |
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charm | 21.7 | |
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metal | 20.9 | |
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object | 20.5 | |
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financial | 20.5 | |
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close | 18.8 | |
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analog clock | 18.4 | |
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time | 18.3 | |
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gold | 18.1 | |
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wealth | 18 | |
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device | 16.7 | |
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pay | 16.3 | |
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silver | 15.9 | |
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vintage | 15.7 | |
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retro | 15.6 | |
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shield | 15 | |
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investment | 14.7 | |
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business | 14.6 | |
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one | 14.2 | |
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economy | 13.9 | |
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collection | 13.5 | |
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shiny | 13.4 | |
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wall clock | 13 | |
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ancient | 13 | |
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watch | 12.5 | |
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closeup | 12.1 | |
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savings | 12.1 | |
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armor | 12.1 | |
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rich | 12.1 | |
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pound | 11.6 | |
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historical | 11.3 | |
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exchange | 10.5 | |
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black | 10.2 | |
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collect | 9.8 | |
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market | 9.8 | |
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payment | 9.6 | |
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measuring instrument | 9.5 | |
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symbol | 9.4 | |
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buy | 9.4 | |
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stock | 9.4 | |
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protective covering | 9.3 | |
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dollar | 9.3 | |
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instrument | 9.2 | |
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timer | 9 | |
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numismatics | 8.9 | |
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alarm | 8.8 | |
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hour | 8.8 | |
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change | 8.7 | |
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round | 8.6 | |
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jewelry | 8.5 | |
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number | 8.4 | |
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decoration | 8.3 | |
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ruble | 7.9 | |
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penny | 7.9 | |
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monetary | 7.8 | |
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minute | 7.8 | |
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ornament | 7.8 | |
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treasure | 7.7 | |
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save | 7.6 | |
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commerce | 7.5 | |
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shine | 7.4 | |
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history | 7.2 | |
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covering | 7.1 | |
|
Google
created on 2022-05-10
Chin | 96.6 | |
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Artifact | 84.9 | |
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Currency | 84.4 | |
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Coin | 83.2 | |
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Money | 81.3 | |
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Nickel | 78.3 | |
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Circle | 71.9 | |
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Font | 71.2 | |
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Metal | 70.9 | |
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Ancient history | 68.3 | |
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Antique | 66.9 | |
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Bronze | 66.2 | |
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Fashion accessory | 66 | |
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Wood | 64.7 | |
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History | 63.2 | |
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Natural material | 62.3 | |
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Art | 62.2 | |
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Collectable | 60 | |
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Carving | 58.7 | |
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Copper | 53.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-40 |
Gender | Male, 62.7% |
Calm | 72.6% |
Happy | 18.3% |
Surprised | 7.4% |
Fear | 6% |
Sad | 3.2% |
Confused | 1.9% |
Angry | 1.3% |
Disgusted | 0.6% |
AWS Rekognition
Age | 21-29 |
Gender | Female, 88.7% |
Calm | 55.6% |
Disgusted | 22.6% |
Confused | 7.4% |
Surprised | 7.2% |
Fear | 6.8% |
Sad | 4.9% |
Angry | 2.8% |
Happy | 1.3% |
Text analysis
Amazon
cm