Machine Generated Data
Tags
Clarifai
created on 2023-10-29
Imagga
created on 2022-06-17
container | 71.4 | |
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vessel | 49.4 | |
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glass | 46.2 | |
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pot | 44.1 | |
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goblet | 36 | |
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cup | 33.3 | |
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drink | 28.4 | |
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vase | 23.2 | |
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cooking utensil | 22.9 | |
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utensil | 22.5 | |
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object | 17.6 | |
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gold | 17.2 | |
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earthenware | 16.2 | |
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metal | 16.1 | |
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old | 16 | |
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tea | 16 | |
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beverage | 15.9 | |
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traditional | 15.8 | |
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wine | 15.8 | |
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jar | 15.4 | |
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china | 15.3 | |
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kitchen utensil | 15.2 | |
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kitchenware | 15.2 | |
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pitcher | 14.9 | |
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mug | 14.6 | |
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kitchen | 14.3 | |
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ceramic ware | 14 | |
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antique | 13.4 | |
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jug | 13.1 | |
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decoration | 13 | |
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alcohol | 12.9 | |
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handle | 12.4 | |
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ancient | 12.1 | |
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culture | 12 | |
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decorative | 11.7 | |
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ceramic | 11.6 | |
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close | 11.4 | |
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pottery | 11.3 | |
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restaurant | 11.2 | |
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golden | 11.2 | |
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tableware | 11.2 | |
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craft | 10.5 | |
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art | 10.4 | |
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liquid | 10.4 | |
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bar | 10.2 | |
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closeup | 10.1 | |
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retro | 9.8 | |
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brown | 9.6 | |
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empty | 9.4 | |
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yellow | 9.3 | |
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ornate | 9.1 | |
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full | 9.1 | |
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vintage | 9.1 | |
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single | 9 | |
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celebration | 8.8 | |
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teapot | 8.7 | |
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ornament | 8.6 | |
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party | 8.6 | |
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coffee | 8.5 | |
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color | 8.3 | |
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history | 8 | |
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silverware | 8 | |
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bottle | 8 | |
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design | 7.9 | |
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porcelain | 7.9 | |
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ceramics | 7.8 | |
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clay | 7.8 | |
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ceremony | 7.8 | |
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mortar | 7.7 | |
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classical | 7.6 | |
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light | 7.4 | |
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refreshment | 7.2 | |
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food | 7.2 | |
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celebrate | 7.2 | |
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black | 7.2 | |
|
Google
created on 2022-06-17
Drinkware | 94.1 | |
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Tableware | 94 | |
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Dishware | 92 | |
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Serveware | 86.3 | |
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Vase | 85.1 | |
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Pottery | 81.8 | |
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Artifact | 79.5 | |
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Art | 75.9 | |
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Font | 74.4 | |
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Ceramic | 69.2 | |
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Monochrome photography | 68.5 | |
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Metal | 67.3 | |
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Monochrome | 66.2 | |
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Still life photography | 64.5 | |
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earthenware | 63.6 | |
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Stock photography | 62.4 | |
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Glass | 61.5 | |
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Porcelain | 60.8 | |
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Antique | 59.6 | |
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Event | 58.8 | |
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Microsoft
created on 2022-06-17
indoor | 90.6 | |
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vase | 86.9 | |
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tableware | 83.5 | |
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kitchenware | 65.6 | |
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pot | 45 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 16-22 |
Gender | Female, 99.8% |
Sad | 86.6% |
Calm | 44.5% |
Surprised | 8.4% |
Fear | 7.6% |
Angry | 3% |
Confused | 1.8% |
Disgusted | 1.8% |
Happy | 1.1% |
Microsoft Cognitive Services
Age | 31 |
Gender | Male |
Microsoft Cognitive Services
Age | 30 |
Gender | Male |
Text analysis
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g
22000
1000
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