Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
device | 14.9 | |
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tool | 13.6 | |
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old | 13.2 | |
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television | 12.5 | |
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dark | 10.8 | |
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building | 10.4 | |
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architecture | 10.1 | |
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stone | 10.1 | |
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alone | 10 | |
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windshield wiper | 9.9 | |
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black | 9 | |
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wall | 9 | |
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one | 8.9 | |
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mechanical device | 8.8 | |
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space | 8.5 | |
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art | 8.5 | |
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human | 8.2 | |
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dirty | 8.1 | |
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dress | 8.1 | |
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window | 7.8 | |
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ancient | 7.8 | |
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construction | 7.7 | |
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fashion | 7.5 | |
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park | 7.4 | |
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newspaper | 7.4 | |
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light | 7.3 | |
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industrial | 7.3 | |
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people | 7.2 | |
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road | 7.2 | |
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transportation | 7.2 | |
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mechanism | 7.1 | |
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adult | 7.1 | |
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interior | 7.1 | |
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indoors | 7 | |
|
Google
created on 2022-01-15
Carnivore | 84.8 | |
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Black-and-white | 84.1 | |
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Style | 83.8 | |
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Felidae | 81.7 | |
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Adaptation | 79.3 | |
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Art | 77.6 | |
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Small to medium-sized cats | 77 | |
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Monochrome photography | 75.9 | |
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Monochrome | 75.2 | |
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Snapshot | 74.3 | |
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Stock photography | 63.2 | |
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Visual arts | 63 | |
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Room | 61.3 | |
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Still life photography | 61.2 | |
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Canidae | 61.1 | |
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Motor vehicle | 61.1 | |
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Illustration | 59.7 | |
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Photographic paper | 59.5 | |
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History | 56.6 | |
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Whiskers | 56.1 | |
|
Microsoft
created on 2022-01-15
text | 98.1 | |
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black and white | 75.4 | |
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sketch | 56 | |
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drawing | 52.4 | |
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old | 50.3 | |
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Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 48.9% | |
| ||
paintings art | 17.1% | |
| ||
nature landscape | 16.8% | |
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interior objects | 13% | |
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text visuals | 2.5% | |
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Captions
Microsoft
created on 2022-01-15
a group of people in an old photo of a person | 62.5% | |
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a group of people in an old photo of a person | 61.1% | |
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a group of people posing for a photo | 61% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18817788/671,775,46,17/full/0/native.jpg)
June
![](https://ids.lib.harvard.edu/ids/iiif/18817788/919,773,56,17/full/0/native.jpg)
4726
![](https://ids.lib.harvard.edu/ids/iiif/18817788/59,778,89,26/full/0/native.jpg)
Breaking
![](https://ids.lib.harvard.edu/ids/iiif/18817788/333,773,73,28/full/0/native.jpg)
Central
![](https://ids.lib.harvard.edu/ids/iiif/18817788/671,771,107,23/full/0/native.jpg)
June 15.10
![](https://ids.lib.harvard.edu/ids/iiif/18817788/408,776,35,25/full/0/native.jpg)
Sq.
![](https://ids.lib.harvard.edu/ids/iiif/18817788/729,771,49,23/full/0/native.jpg)
15.10
![](https://ids.lib.harvard.edu/ids/iiif/18817788/190,786,16,11/full/0/native.jpg)
O
![](https://ids.lib.harvard.edu/ids/iiif/18817788/276,778,54,21/full/0/native.jpg)
rain
![](https://ids.lib.harvard.edu/ids/iiif/18817788/59,772,384,32/full/0/native.jpg)
Breaking O IN custom and rain Central Sq.
![](https://ids.lib.harvard.edu/ids/iiif/18817788/910,766,5,4/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18817788/207,787,10,6/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/18817788/214,779,69,21/full/0/native.jpg)
custom
![](https://ids.lib.harvard.edu/ids/iiif/18817788/242,772,19,8/full/0/native.jpg)
and
![](https://ids.lib.harvard.edu/ids/iiif/18817788/61,770,919,44/full/0/native.jpg)
June 15.10
4T26
Breaking ioo
Kantral Sq.
![](https://ids.lib.harvard.edu/ids/iiif/18817788/674,776,50,21/full/0/native.jpg)
June
![](https://ids.lib.harvard.edu/ids/iiif/18817788/731,774,52,24/full/0/native.jpg)
15.10
![](https://ids.lib.harvard.edu/ids/iiif/18817788/922,775,58,21/full/0/native.jpg)
4T26
![](https://ids.lib.harvard.edu/ids/iiif/18817788/61,780,87,24/full/0/native.jpg)
Breaking
![](https://ids.lib.harvard.edu/ids/iiif/18817788/152,782,60,24/full/0/native.jpg)
ioo
![](https://ids.lib.harvard.edu/ids/iiif/18817788/335,770,78,42/full/0/native.jpg)
Kantral
![](https://ids.lib.harvard.edu/ids/iiif/18817788/409,773,49,41/full/0/native.jpg)
Sq.