Machine Generated Data
Tags
Amazon
created on 2022-06-11
Bowl | 100 | |
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Soup Bowl | 93.7 | |
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Pottery | 76.1 | |
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Mixing Bowl | 64.2 | |
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Ring | 60.5 | |
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Accessories | 60.5 | |
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Jewelry | 60.5 | |
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Accessory | 60.5 | |
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Clarifai
created on 2023-10-29
pottery | 99.9 | |
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no person | 99.2 | |
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ceramic | 99.2 | |
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clay | 99 | |
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simplicity | 98.3 | |
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tableware | 98.2 | |
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empty | 98.1 | |
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bowl | 97.6 | |
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porcelain | 97 | |
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still life | 96.5 | |
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art | 96.3 | |
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food | 96 | |
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earthenware | 96 | |
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old | 95.1 | |
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traditional | 94.8 | |
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one | 94.1 | |
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vase | 93.3 | |
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antique | 93.2 | |
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cutout | 93.1 | |
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handmade | 92.7 | |
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Imagga
created on 2022-06-11
Google
created on 2022-06-11
Tableware | 96.1 | |
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Dishware | 92.4 | |
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Drinkware | 85.2 | |
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Serveware | 84.5 | |
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Rectangle | 82 | |
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Creative arts | 80.7 | |
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Mixing bowl | 76.9 | |
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Porcelain | 75 | |
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Bowl | 74.9 | |
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Art | 74.7 | |
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Pottery | 74.4 | |
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earthenware | 73.1 | |
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Natural material | 72.1 | |
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Artifact | 70.9 | |
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Circle | 68.8 | |
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Font | 68.1 | |
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Electric blue | 67.6 | |
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Ceramic | 66.7 | |
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Metal | 62.1 | |
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Composite material | 61.8 | |
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Microsoft
created on 2022-06-11
wall | 98.3 | |
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indoor | 97.7 | |
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bowl | 97.2 | |
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vase | 96.9 | |
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sitting | 95.8 | |
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mixing bowl | 95.4 | |
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earthenware | 94.7 | |
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black | 94.2 | |
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ceramic | 92.3 | |
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pottery | 89.4 | |
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plate | 86.1 | |
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serveware | 80.8 | |
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saucer | 77.3 | |
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platter | 69.7 | |
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flowerpot | 68.7 | |
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jug | 68.5 | |
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coffee cup | 68.1 | |
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kettle | 65.8 | |
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tableware | 62.9 | |
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lid | 60.4 | |
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pitcher | 55.4 | |
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pot | 53.4 | |
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plant | 51.9 | |
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teapot | 51.2 | |
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dishware | 45.9 | |
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ceramic ware | 39 | |
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dark | 31.7 | |
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cup | 21.8 | |
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soup | 15.6 | |
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porcelain | 6.6 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20678788/237,241,595,397/full/0/native.jpg)
Ring | 60.5% | |
|
Categories
Imagga
food drinks | 95.2% | |
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paintings art | 2.9% | |
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interior objects | 1.3% | |
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Captions
Microsoft
created on 2022-06-11
a close up of a bowl | 86.6% | |
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close up of a bowl | 82.2% | |
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a close up of a bowl on a table | 76.7% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20678788/1015,165,8,24/full/0/native.jpg)
ore
![](https://ids.lib.harvard.edu/ids/iiif/20678788/1015,417,7,32/full/0/native.jpg)
OTP
![](https://ids.lib.harvard.edu/ids/iiif/20678788/1014,112,9,78/full/0/native.jpg)
RAGO ore
![](https://ids.lib.harvard.edu/ids/iiif/20678788/1013,634,9,76/full/0/native.jpg)
XA00'X ore
![](https://ids.lib.harvard.edu/ids/iiif/20678788/1014,112,9,44/full/0/native.jpg)
RAGO
![](https://ids.lib.harvard.edu/ids/iiif/20678788/1013,634,9,45/full/0/native.jpg)
XA00'X
![](https://ids.lib.harvard.edu/ids/iiif/20678788/518,340,17,37/full/0/native.jpg)
223