Machine Generated Data
Tags
Amazon
created on 2022-01-09
Nature | 99.6 | |
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Outdoors | 98.6 | |
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Tree | 97.5 | |
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Plant | 97.5 | |
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Scenery | 97.2 | |
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Landscape | 96.5 | |
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Land | 96.4 | |
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Water | 92.6 | |
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Vegetation | 83.6 | |
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Panoramic | 75.8 | |
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Sky | 74.7 | |
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Building | 73 | |
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Architecture | 73 | |
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Fir | 65.1 | |
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Abies | 65.1 | |
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Art | 63.4 | |
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Painting | 63.4 | |
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Grass | 59.5 | |
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Grove | 59.1 | |
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Woodland | 59.1 | |
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Forest | 59.1 | |
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Red Sky | 57.2 | |
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Dawn | 57.2 | |
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Sunset | 57.2 | |
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Dusk | 57.2 | |
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Poster | 56.3 | |
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Advertisement | 56.3 | |
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Flood | 55.7 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
Google
created on 2022-01-09
Water | 94 | |
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Rectangle | 85.5 | |
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Sky | 85.3 | |
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Tree | 84.4 | |
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Plant | 83.7 | |
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Landscape | 78.1 | |
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Tints and shades | 77.4 | |
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Horizon | 72.6 | |
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Lake | 72.2 | |
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Paper product | 67.5 | |
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Art | 66.1 | |
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History | 65.6 | |
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Monochrome photography | 65.1 | |
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Room | 64.9 | |
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Painting | 63.3 | |
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Paper | 63.1 | |
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Stock photography | 62.5 | |
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Photographic paper | 60.3 | |
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Holy places | 60.2 | |
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Antique | 59.4 | |
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Color Analysis
Feature analysis
Categories
Imagga
nature landscape | 64.8% | |
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beaches seaside | 28.7% | |
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sunrises sunsets | 5% | |
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Captions
Microsoft
created on 2022-01-09
a bridge over a body of water | 58.5% | |
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a body of water | 58.4% | |
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a bridge over a body of water with trees in the background | 53.5% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18788850/460,855,60,34/full/0/native.jpg)
from
![](https://ids.lib.harvard.edu/ids/iiif/18788850/228,768,37,8/full/0/native.jpg)
ROYAL
![](https://ids.lib.harvard.edu/ids/iiif/18788850/910,770,60,7/full/0/native.jpg)
MONTREAL
![](https://ids.lib.harvard.edu/ids/iiif/18788850/151,767,30,9/full/0/native.jpg)
FROM
![](https://ids.lib.harvard.edu/ids/iiif/18788850/884,769,22,9/full/0/native.jpg)
SON
![](https://ids.lib.harvard.edu/ids/iiif/18788850/185,766,40,11/full/0/native.jpg)
MOUNT
![](https://ids.lib.harvard.edu/ids/iiif/18788850/872,769,9,9/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/18788850/801,769,169,9/full/0/native.jpg)
WM.NOTMAN & SON MONTREAL
![](https://ids.lib.harvard.edu/ids/iiif/18788850/44,765,222,14/full/0/native.jpg)
1567-MONTREAL FROM MOUNT ROYAL
![](https://ids.lib.harvard.edu/ids/iiif/18788850/801,770,67,7/full/0/native.jpg)
WM.NOTMAN
![](https://ids.lib.harvard.edu/ids/iiif/18788850/44,765,101,14/full/0/native.jpg)
1567-MONTREAL
![](https://ids.lib.harvard.edu/ids/iiif/18788850/318,818,397,73/full/0/native.jpg)
Mowheal from mount: Moyal
![](https://ids.lib.harvard.edu/ids/iiif/18788850/526,836,91,38/full/0/native.jpg)
mount:
![](https://ids.lib.harvard.edu/ids/iiif/18788850/626,832,89,52/full/0/native.jpg)
Moyal
![](https://ids.lib.harvard.edu/ids/iiif/18788850/318,818,136,60/full/0/native.jpg)
Mowheal
![](https://ids.lib.harvard.edu/ids/iiif/18788850/47,768,928,123/full/0/native.jpg)
(567-MONTREAL FROM MOUNT ROYAL
WM,NOTMAN & SON MONTREAL
moml Hoyai,
![](https://ids.lib.harvard.edu/ids/iiif/18788850/153,769,33,12/full/0/native.jpg)
FROM
![](https://ids.lib.harvard.edu/ids/iiif/18788850/230,769,38,12/full/0/native.jpg)
ROYAL
![](https://ids.lib.harvard.edu/ids/iiif/18788850/802,770,71,13/full/0/native.jpg)
WM,NOTMAN
![](https://ids.lib.harvard.edu/ids/iiif/18788850/47,768,101,15/full/0/native.jpg)
(567-MONTREAL
![](https://ids.lib.harvard.edu/ids/iiif/18788850/187,769,42,12/full/0/native.jpg)
MOUNT
![](https://ids.lib.harvard.edu/ids/iiif/18788850/875,771,11,11/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/18788850/886,771,24,12/full/0/native.jpg)
SON
![](https://ids.lib.harvard.edu/ids/iiif/18788850/912,771,63,12/full/0/native.jpg)
MONTREAL
![](https://ids.lib.harvard.edu/ids/iiif/18788850/519,840,103,41/full/0/native.jpg)
moml
![](https://ids.lib.harvard.edu/ids/iiif/18788850/627,841,95,50/full/0/native.jpg)
Hoyai,