Machine Generated Data
Tags
Amazon
created on 2022-01-22
Dance Pose | 98.1 | |
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Leisure Activities | 98.1 | |
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Dance | 97.4 | |
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Human | 97.4 | |
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Ballet | 92.9 | |
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Person | 88.4 | |
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Ballerina | 85.8 | |
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Door | 70.2 | |
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Silhouette | 56.9 | |
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Window | 55.1 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
black | 21.3 | |
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man | 19.6 | |
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silhouette | 18.2 | |
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male | 17 | |
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light | 14.7 | |
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people | 12.8 | |
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symbol | 12.1 | |
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body | 12 | |
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person | 11.9 | |
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dark | 11.7 | |
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night | 11.5 | |
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one | 11.2 | |
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adult | 11 | |
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television | 10.9 | |
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human | 10.5 | |
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religion | 9.9 | |
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perfume | 9.7 | |
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office | 9.6 | |
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negative | 9.6 | |
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art | 9 | |
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shadow | 9 | |
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room | 8.9 | |
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device | 8.2 | |
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architecture | 8.1 | |
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window | 7.9 | |
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portrait | 7.8 | |
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covering | 7.7 | |
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culture | 7.7 | |
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telecommunication system | 7.5 | |
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city | 7.5 | |
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vintage | 7.4 | |
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water | 7.3 | |
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film | 7.1 | |
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toiletry | 7 | |
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wall | 7 | |
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Google
created on 2022-01-22
Gesture | 85.2 | |
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Black-and-white | 83.2 | |
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Flash photography | 81 | |
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Rectangle | 77.5 | |
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Tints and shades | 77.4 | |
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Art | 75.1 | |
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Monochrome photography | 73.2 | |
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Darkness | 71.2 | |
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Monochrome | 70.5 | |
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Visual arts | 68.9 | |
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Room | 67.2 | |
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Shadow | 62.5 | |
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Stock photography | 62 | |
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Symmetry | 59.4 | |
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Font | 57.9 | |
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Vintage clothing | 56.5 | |
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Pattern | 52.7 | |
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Still life photography | 51.5 | |
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Microsoft
created on 2022-01-22
text | 99.8 | |
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fog | 71.1 | |
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human face | 68.3 | |
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black and white | 63 | |
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person | 50.8 | |
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picture frame | 9.7 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824086/276,218,458,758/full/0/native.jpg)
Person | 88.4% | |
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Categories
Imagga
streetview architecture | 69.1% | |
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paintings art | 21.8% | |
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pets animals | 3.6% | |
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text visuals | 2.3% | |
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interior objects | 1.3% | |
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nature landscape | 1.1% | |
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Captions
Microsoft
created on 2022-01-22
a person standing in front of a window | 39.4% | |
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a person sitting in front of a window | 26.2% | |
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a person sitting in a dark room | 26.1% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824086/987,40,19,65/full/0/native.jpg)
YT3
![](https://ids.lib.harvard.edu/ids/iiif/18824086/987,40,20,129/full/0/native.jpg)
YT3 742
![](https://ids.lib.harvard.edu/ids/iiif/18824086/982,298,29,29/full/0/native.jpg)
o'
![](https://ids.lib.harvard.edu/ids/iiif/18824086/990,615,15,69/full/0/native.jpg)
١٢
![](https://ids.lib.harvard.edu/ids/iiif/18824086/982,263,29,77/full/0/native.jpg)
K o' :
![](https://ids.lib.harvard.edu/ids/iiif/18824086/1003,263,4,10/full/0/native.jpg)
:
![](https://ids.lib.harvard.edu/ids/iiif/18824086/987,108,20,61/full/0/native.jpg)
742
![](https://ids.lib.harvard.edu/ids/iiif/18824086/989,328,18,12/full/0/native.jpg)
K
![](https://ids.lib.harvard.edu/ids/iiif/18824086/992,934,15,72/full/0/native.jpg)
"ХАО
![](https://ids.lib.harvard.edu/ids/iiif/18824086/991,617,22,71/full/0/native.jpg)
MJIA
![](https://ids.lib.harvard.edu/ids/iiif/18824086/992,617,22,71/full/0/native.jpg)
MJIA