Machine Generated Data
Tags
Amazon
created on 2022-01-15
Carousel | 96.9 | |
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Amusement Park | 96.9 | |
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Theme Park | 92.3 | |
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Bird | 66.5 | |
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Animal | 66.5 | |
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Zebra | 66.3 | |
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Mammal | 66.3 | |
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Wildlife | 66.3 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
shop | 39.9 | |
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barbershop | 36.8 | |
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building | 35.7 | |
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architecture | 34.6 | |
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mercantile establishment | 32.4 | |
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city | 29.1 | |
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place of business | 21.4 | |
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travel | 21.1 | |
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old | 20.9 | |
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stall | 20.4 | |
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tourism | 19 | |
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famous | 18.6 | |
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landmark | 18.1 | |
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history | 17.9 | |
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art | 16.3 | |
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culture | 16.2 | |
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house | 16.2 | |
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historic | 15.6 | |
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sculpture | 15.4 | |
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structure | 14.7 | |
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monument | 14 | |
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facade | 13.7 | |
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historical | 13.2 | |
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ancient | 13 | |
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religion | 12.5 | |
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town | 12.1 | |
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window | 11.7 | |
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statue | 11.6 | |
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urban | 11.4 | |
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establishment | 11.3 | |
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exterior | 11.1 | |
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street | 10.1 | |
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symbol | 10.1 | |
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vintage | 9.9 | |
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temple | 9.8 | |
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god | 9.6 | |
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antique | 9.5 | |
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capital | 9.5 | |
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palace | 9.4 | |
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drawing | 9.4 | |
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church | 9.2 | |
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night | 8.9 | |
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marble | 8.9 | |
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roof | 8.7 | |
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balcony | 8.6 | |
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cityscape | 8.5 | |
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china | 8.5 | |
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hall | 8.3 | |
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business | 7.9 | |
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sketch | 7.7 | |
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grunge | 7.7 | |
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finance | 7.6 | |
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bridge | 7.6 | |
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religious | 7.5 | |
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destination | 7.5 | |
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light | 7.3 | |
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people | 7.2 | |
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wall | 7.2 | |
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tower | 7.2 | |
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Google
created on 2022-01-15
Black | 89.6 | |
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Black-and-white | 86.2 | |
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Organism | 86.1 | |
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Style | 84.1 | |
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Font | 81.6 | |
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Monochrome photography | 78.3 | |
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Monochrome | 78.1 | |
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Art | 76.5 | |
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Snapshot | 74.3 | |
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Event | 69.8 | |
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Illustration | 66.3 | |
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Room | 64.1 | |
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Urban design | 63.3 | |
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Metal | 63 | |
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Stock photography | 62.3 | |
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Photographic paper | 61.9 | |
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Cooking | 61.4 | |
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Machine | 60.9 | |
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Pattern | 60.8 | |
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Fashion accessory | 57.3 | |
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Microsoft
created on 2022-01-15
text | 98.4 | |
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black and white | 84.3 | |
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Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 94.9% | |
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paintings art | 4.8% | |
|
Captions
Microsoft
created on 2022-01-15
text | 78.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18816364/111,5,117,23/full/0/native.jpg)
136743
![](https://ids.lib.harvard.edu/ids/iiif/18816364/486,1,163,25/full/0/native.jpg)
1367443
![](https://ids.lib.harvard.edu/ids/iiif/18816364/455,1,194,25/full/0/native.jpg)
1 1367443
![](https://ids.lib.harvard.edu/ids/iiif/18816364/3,673,27,147/full/0/native.jpg)
13674B.
![](https://ids.lib.harvard.edu/ids/iiif/18816364/455,5,4,14/full/0/native.jpg)
1
![](https://ids.lib.harvard.edu/ids/iiif/18816364/700,439,28,166/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18816364/4,4,648,808/full/0/native.jpg)
136141aox-YT3RA2-MAMT2A3
13674AB
13674 B
![](https://ids.lib.harvard.edu/ids/iiif/18816364/107,4,319,26/full/0/native.jpg)
136141aox-YT3RA2-MAMT2A3
![](https://ids.lib.harvard.edu/ids/iiif/18816364/491,4,161,25/full/0/native.jpg)
13674AB
![](https://ids.lib.harvard.edu/ids/iiif/18816364/5,677,29,101/full/0/native.jpg)
13674
![](https://ids.lib.harvard.edu/ids/iiif/18816364/7,781,25,31/full/0/native.jpg)
B