Machine Generated Data
Tags
Amazon
created on 2023-10-23
Aircraft | 99.8 | |
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Transportation | 99.8 | |
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Vehicle | 99.8 | |
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Helicopter | 98.8 | |
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Helicopter | 97.6 | |
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Helicopter | 96.6 | |
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Airplane | 82.7 | |
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Landing | 82.7 | |
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Art | 56.7 | |
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Collage | 56.7 | |
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Clarifai
created on 2023-10-15
movie | 99.9 | |
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negative | 99.9 | |
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filmstrip | 99.6 | |
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exposed | 99.6 | |
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cinematography | 99.3 | |
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bobbin | 98.9 | |
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photograph | 98.8 | |
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slide | 98.2 | |
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video | 97.8 | |
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no person | 97.4 | |
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desktop | 96.5 | |
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industry | 96.1 | |
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retro | 95.4 | |
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picture frame | 94.9 | |
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illustration | 94.9 | |
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video recording | 94.4 | |
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old | 93.2 | |
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design | 91.9 | |
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projection | 90.1 | |
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isolated | 90 | |
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Imagga
created on 2019-02-03
film | 45.7 | |
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negative | 39.9 | |
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frame | 26 | |
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device | 24.4 | |
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border | 22.6 | |
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blank | 22.1 | |
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strip | 21.3 | |
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texture | 19.4 | |
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equipment | 19.2 | |
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filmstrip | 17.7 | |
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design | 16.9 | |
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grunge | 16.2 | |
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old | 16 | |
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business | 15.8 | |
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electronic equipment | 15.7 | |
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black | 15.6 | |
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empty | 15.4 | |
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modem | 15.1 | |
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paper | 14.9 | |
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camera | 14.9 | |
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art | 14.7 | |
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slide | 14.6 | |
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movie | 14.5 | |
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photographic paper | 13.8 | |
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cinema | 13.7 | |
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vintage | 13.2 | |
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metal | 12.9 | |
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photograph | 12.5 | |
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silver | 12.4 | |
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pattern | 12.3 | |
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retro | 12.3 | |
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entertainment | 12 | |
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message | 11.9 | |
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graphic | 11.7 | |
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35mm | 10.8 | |
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dirty | 10.8 | |
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steel | 10.6 | |
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textured | 10.5 | |
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iron | 10.5 | |
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photography | 10.4 | |
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rough | 10 | |
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sign | 9.8 | |
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technology | 9.6 | |
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text | 9.6 | |
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damaged | 9.5 | |
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photographic equipment | 9.4 | |
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space | 9.3 | |
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computer | 9.2 | |
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note | 9.2 | |
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screen | 9 | |
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exposure | 8.8 | |
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photographic | 8.8 | |
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board | 8.4 | |
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page | 8.3 | |
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element | 8.3 | |
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industrial | 8.2 | |
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object | 8.1 | |
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material | 8 | |
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antique | 8 | |
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office | 8 | |
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reel | 8 | |
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close | 8 | |
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surface | 7.9 | |
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reminder | 7.8 | |
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roll | 7.7 | |
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wall | 7.4 | |
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banner | 7.3 | |
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template | 7.3 | |
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gray | 7.2 | |
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tube | 7.2 | |
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information | 7.1 | |
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modern | 7 | |
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Google
created on 2019-02-03
White | 96.8 | |
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Photograph | 96.5 | |
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Product | 88.3 | |
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Snapshot | 84.3 | |
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Photography | 78.8 | |
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Black-and-white | 74.4 | |
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Negative | 62.8 | |
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Monochrome | 60.1 | |
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Microsoft
created on 2019-02-03
street | 10 | |
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black and white | 6.8 | |
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winter | 3.7 | |
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monochrome | 3.7 | |
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music | 3.3 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15720213/621,46,139,82/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/15720213/216,37,151,102/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/15720213/823,59,147,75/full/0/native.jpg)
Helicopter | 98.8% | |
|
Categories
Imagga
interior objects | 100% | |
|
Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15720213/763,179,20,8/full/0/native.jpg)
A21
![](https://ids.lib.harvard.edu/ids/iiif/15720213/256,180,12,8/full/0/native.jpg)
81
![](https://ids.lib.harvard.edu/ids/iiif/15720213/863,179,12,8/full/0/native.jpg)
at
![](https://ids.lib.harvard.edu/ids/iiif/15720213/554,179,43,9/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/15720213/152,180,27,9/full/0/native.jpg)
A81
![](https://ids.lib.harvard.edu/ids/iiif/15720213/54,180,23,9/full/0/native.jpg)
et
![](https://ids.lib.harvard.edu/ids/iiif/15720213/660,178,36,12/full/0/native.jpg)
are
![](https://ids.lib.harvard.edu/ids/iiif/15720213/956,179,23,8/full/0/native.jpg)
AA
![](https://ids.lib.harvard.edu/ids/iiif/15720213/351,179,40,9/full/0/native.jpg)
ATIE
![](https://ids.lib.harvard.edu/ids/iiif/15720213/453,180,35,10/full/0/native.jpg)
٢١٤
![](https://ids.lib.harvard.edu/ids/iiif/15720213/555,178,323,16/full/0/native.jpg)
Aat
at
Aer
er
![](https://ids.lib.harvard.edu/ids/iiif/15720213/555,178,29,16/full/0/native.jpg)
Aat
![](https://ids.lib.harvard.edu/ids/iiif/15720213/661,180,16,13/full/0/native.jpg)
at
![](https://ids.lib.harvard.edu/ids/iiif/15720213/763,178,25,15/full/0/native.jpg)
Aer
![](https://ids.lib.harvard.edu/ids/iiif/15720213/863,178,15,13/full/0/native.jpg)
er