Machine Generated Data
Tags
Clarifai
created on 2023-10-29
medicine | 98.7 | |
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no person | 98.6 | |
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container | 96.7 | |
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bottle | 95.8 | |
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still life | 95.4 | |
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treatment | 91.2 | |
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art | 89.6 | |
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healthcare | 89.2 | |
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set | 88.8 | |
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health | 85.9 | |
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retro | 85.3 | |
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conceptual | 85.2 | |
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science | 84.5 | |
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care | 80.1 | |
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cure | 79.6 | |
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empty | 79.3 | |
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nature | 79.3 | |
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collection | 78.5 | |
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illustration | 78.1 | |
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aromatherapy | 78 | |
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Imagga
created on 2022-06-18
pill bottle | 100 | |
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bottle | 100 | |
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vessel | 86.9 | |
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container | 72.7 | |
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medicine | 21.1 | |
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aromatherapy | 20.2 | |
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spa | 19.7 | |
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towel | 18.2 | |
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glass | 17.9 | |
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health | 17.4 | |
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care | 15.6 | |
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treatment | 15.6 | |
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bottles | 14.7 | |
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bath | 14.2 | |
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medical | 14.1 | |
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oil | 13.9 | |
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therapy | 13.2 | |
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pharmacy | 12.6 | |
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liquid | 12.2 | |
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healthy | 12 | |
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hygiene | 11.3 | |
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perfume | 11.2 | |
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object | 11 | |
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relaxation | 10.9 | |
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close | 10.8 | |
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jar | 10.3 | |
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wellness | 10.1 | |
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soap | 9.7 | |
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brown | 9.6 | |
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paper | 9.4 | |
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fresh | 9.1 | |
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objects | 8.7 | |
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can | 8.6 | |
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yellow | 8.6 | |
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flower | 8.5 | |
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orange | 8.4 | |
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clean | 8.3 | |
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water | 8 | |
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food | 7.9 | |
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wooden | 7.9 | |
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color | 7.8 | |
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scented | 7.8 | |
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illness | 7.6 | |
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relax | 7.6 | |
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aroma | 7.5 | |
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plastic | 7.3 | |
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holiday | 7.2 | |
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Google
created on 2022-06-18
Liquid | 94.5 | |
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Bottle | 92.9 | |
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Bottle cap | 90.9 | |
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Rectangle | 87.2 | |
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Fluid | 87 | |
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Plastic bottle | 84 | |
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Shelving | 81.9 | |
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Glass bottle | 80.9 | |
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Drinkware | 80.7 | |
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Shelf | 79.2 | |
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Art | 78.9 | |
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Gas | 77.9 | |
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Artifact | 74.3 | |
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Water bottle | 72.7 | |
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Vase | 70.8 | |
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Circle | 68 | |
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Font | 67 | |
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Plastic | 64.7 | |
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Serveware | 62.1 | |
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Still life photography | 61.7 | |
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Color Analysis
Categories
Imagga
paintings art | 38.7% | |
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food drinks | 27.6% | |
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text visuals | 17.8% | |
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interior objects | 9.6% | |
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events parties | 3.9% | |
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pets animals | 1.3% | |
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Captions
Microsoft
created on 2022-06-18
a close up of a bottle | 46.2% | |
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a close up of a bottle on a table | 37.8% | |
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a bottle of beer on a table | 28.9% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20864297/522,424,30,33/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/20864297/639,447,33,30/full/0/native.jpg)
+
![](https://ids.lib.harvard.edu/ids/iiif/20864297/751,481,4,5/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/20864297/520,424,271,49/full/0/native.jpg)
2.
ISIY
![](https://ids.lib.harvard.edu/ids/iiif/20864297/520,425,38,37/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/20864297/556,424,22,37/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20864297/754,456,37,17/full/0/native.jpg)
ISIY