Machine Generated Data
Tags
Clarifai
created on 2023-10-29
Imagga
created on 2022-05-27
majolica | 100 | |
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earthenware | 100 | |
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ceramic ware | 100 | |
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utensil | 73.2 | |
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money | 30.7 | |
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coin | 30.6 | |
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currency | 29.6 | |
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old | 28.6 | |
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coins | 23.2 | |
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finance | 21.1 | |
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china | 19.9 | |
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bank | 19.7 | |
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art | 18.4 | |
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cash | 18.3 | |
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antique | 17.6 | |
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porcelain | 17.2 | |
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close | 17.1 | |
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metal | 16.9 | |
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decoration | 16.7 | |
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banking | 16.6 | |
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retro | 16.4 | |
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financial | 16.1 | |
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vintage | 14.9 | |
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symbol | 14.8 | |
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ancient | 14.7 | |
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design | 14.6 | |
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collection | 14.4 | |
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one | 14.2 | |
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round | 13.8 | |
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grunge | 13.6 | |
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wealth | 13.5 | |
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business | 13.4 | |
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gold | 13.2 | |
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circle | 12.9 | |
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object | 12.5 | |
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silver | 12.4 | |
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dollar | 12.1 | |
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decorative | 10.9 | |
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pattern | 10.3 | |
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penny | 9.9 | |
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history | 9.9 | |
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cent | 9.8 | |
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pottery | 9.7 | |
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change | 9.6 | |
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payment | 9.6 | |
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pay | 9.6 | |
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exchange | 9.6 | |
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shiny | 9.5 | |
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color | 9.5 | |
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colorful | 9.3 | |
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delft | 9.2 | |
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frame | 9.2 | |
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black | 9 | |
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numismatics | 8.9 | |
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style | 8.9 | |
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decor | 8.8 | |
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closeup | 8.8 | |
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past | 8.7 | |
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artistic | 8.7 | |
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us | 8.7 | |
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paper | 8.6 | |
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culture | 8.6 | |
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geometric | 8.5 | |
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religious | 8.4 | |
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commerce | 8.4 | |
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texture | 8.3 | |
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historic | 8.3 | |
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ornate | 8.2 | |
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time | 8.2 | |
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religion | 8.1 | |
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monetary | 7.8 | |
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ornament | 7.8 | |
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finances | 7.7 | |
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traditional | 7.5 | |
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savings | 7.5 | |
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rich | 7.5 | |
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detail | 7.2 | |
|
Google
created on 2022-05-27
Tableware | 97.1 | |
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Dishware | 93.8 | |
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Plate | 90.9 | |
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Serveware | 87.3 | |
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Porcelain | 84.3 | |
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Artifact | 83.5 | |
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earthenware | 79.3 | |
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Pottery | 78.6 | |
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Art | 77.6 | |
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Creative arts | 77.2 | |
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Circle | 76.7 | |
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Ceramic | 75.9 | |
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Pattern | 73 | |
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Blue and white porcelain | 72.9 | |
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Saucer | 72 | |
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Platter | 70.4 | |
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Font | 69.1 | |
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Fashion accessory | 65.1 | |
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Visual arts | 64.3 | |
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Metal | 64.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 22-30 |
Gender | Female, 83.1% |
Angry | 66.3% |
Calm | 9.7% |
Fear | 8.1% |
Surprised | 7.6% |
Sad | 5.6% |
Happy | 4.4% |
Disgusted | 3.4% |
Confused | 1.7% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.9% |
Calm | 58.2% |
Angry | 16.5% |
Disgusted | 13.1% |
Surprised | 7.2% |
Fear | 6.6% |
Sad | 3.6% |
Confused | 2.4% |
Happy | 2.3% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 99.9% |
Angry | 40.6% |
Calm | 31.6% |
Sad | 14.4% |
Surprised | 8.5% |
Fear | 6.5% |
Happy | 4.2% |
Confused | 2.1% |
Disgusted | 1.9% |
Feature analysis
Categories
Imagga
paintings art | 100% | |
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Captions
Text analysis

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