Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-15
Imagga
created on 2021-12-14
structure | 37.4 | |
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bridge | 36.5 | |
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negative | 34.2 | |
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wall | 29.2 | |
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landscape | 28.3 | |
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film | 28.1 | |
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sky | 23.7 | |
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river | 23.1 | |
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building | 21.9 | |
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water | 21.4 | |
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snow | 21.2 | |
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steel arch bridge | 20.9 | |
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photographic paper | 20.2 | |
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architecture | 19.9 | |
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city | 19.1 | |
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barrier | 17.9 | |
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travel | 17.6 | |
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dam | 15.7 | |
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tree | 15.4 | |
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outdoors | 14.9 | |
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winter | 14.5 | |
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old | 13.9 | |
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sketch | 13.5 | |
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photographic equipment | 13.5 | |
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park | 13.3 | |
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scenic | 13.2 | |
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clouds | 12.7 | |
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obstruction | 12.5 | |
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urban | 12.2 | |
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drawing | 12.2 | |
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stone | 11.8 | |
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weather | 11.6 | |
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tourism | 11.5 | |
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scene | 11.3 | |
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sea | 10.9 | |
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trees | 10.7 | |
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fence | 10.5 | |
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cloud | 10.3 | |
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ocean | 10.2 | |
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outdoor | 9.9 | |
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road | 9.9 | |
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history | 9.8 | |
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sand | 9.8 | |
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sun | 9.7 | |
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greenhouse | 9.6 | |
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forest | 9.6 | |
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season | 9.4 | |
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summer | 9 | |
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sunset | 9 | |
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tower | 8.9 | |
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railing | 8.9 | |
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grass | 8.7 | |
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light | 8.7 | |
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rock | 8.7 | |
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cold | 8.6 | |
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construction | 8.6 | |
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grunge | 8.5 | |
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countryside | 8.2 | |
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natural | 8 | |
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mountain | 8 | |
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rural | 7.9 | |
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autumn | 7.9 | |
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seasonal | 7.9 | |
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beach | 7.8 | |
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color | 7.8 | |
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ancient | 7.8 | |
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lake | 7.8 | |
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cityscape | 7.6 | |
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field | 7.5 | |
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house | 7.5 | |
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hill | 7.5 | |
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town | 7.4 | |
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environment | 7.4 | |
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support | 7.3 | |
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tourist | 7.3 | |
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black | 7.2 | |
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Google
created on 2021-12-14
Water | 91 | |
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Adaptation | 79.2 | |
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Tints and shades | 77.2 | |
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Tree | 75.2 | |
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Art | 72.6 | |
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Bridge | 68.7 | |
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Rectangle | 67.8 | |
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Winter | 67.7 | |
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Landscape | 67.3 | |
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History | 66 | |
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Paper product | 64.2 | |
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Stock photography | 62.3 | |
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Illustration | 62.2 | |
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Building | 62 | |
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Visual arts | 59.4 | |
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Room | 58.7 | |
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Monochrome photography | 58.5 | |
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Monochrome | 56.9 | |
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Snow | 56.8 | |
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Photographic paper | 56.3 | |
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Color Analysis
Categories
Imagga
paintings art | 64.2% | |
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nature landscape | 27% | |
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beaches seaside | 2.5% | |
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food drinks | 2.5% | |
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pets animals | 1.3% | |
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Captions
Microsoft
created on 2021-12-14
an old photo of a bridge | 48.3% | |
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a close up of a bridge | 48.2% | |
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an old photo of a train | 31.9% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18780592/620,581,36,15/full/0/native.jpg)
MAY
![](https://ids.lib.harvard.edu/ids/iiif/18780592/685,581,37,15/full/0/native.jpg)
1888
![](https://ids.lib.harvard.edu/ids/iiif/18780592/279,581,42,18/full/0/native.jpg)
HIGH
![](https://ids.lib.harvard.edu/ids/iiif/18780592/432,581,79,16/full/0/native.jpg)
BELLOWS
![](https://ids.lib.harvard.edu/ids/iiif/18780592/582,581,29,17/full/0/native.jpg)
VT.,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/329,581,64,17/full/0/native.jpg)
WATER
![](https://ids.lib.harvard.edu/ids/iiif/18780592/666,581,10,17/full/0/native.jpg)
1,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/24,605,32,14/full/0/native.jpg)
3354
![](https://ids.lib.harvard.edu/ids/iiif/18780592/401,577,23,20/full/0/native.jpg)
AT
![](https://ids.lib.harvard.edu/ids/iiif/18780592/520,581,53,18/full/0/native.jpg)
FALLS,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/264,574,458,25/full/0/native.jpg)
a HIGH WATER AT BELLOWS FALLS, VT., MAY 1, 1888
![](https://ids.lib.harvard.edu/ids/iiif/18780592/154,573,33,7/full/0/native.jpg)
FRENCH,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/189,573,28,6/full/0/native.jpg)
PHOTO..
![](https://ids.lib.harvard.edu/ids/iiif/18780592/144,573,7,5/full/0/native.jpg)
k.
![](https://ids.lib.harvard.edu/ids/iiif/18780592/264,574,4,4/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18780592/135,573,121,7/full/0/native.jpg)
A k. FRENCH, PHOTO.. KEEME, 14
![](https://ids.lib.harvard.edu/ids/iiif/18780592/223,573,25,6/full/0/native.jpg)
KEEME,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/135,574,3,4/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18780592/252,574,4,4/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/18780592/27,574,735,50/full/0/native.jpg)
. 1RENG, VROTO. EENE. &
HIGH WATER AT BELLOWS FALLS, VT., MAY 1, 1888. -
3354
![](https://ids.lib.harvard.edu/ids/iiif/18780592/146,574,11,10/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/18780592/281,584,44,19/full/0/native.jpg)
HIGH
![](https://ids.lib.harvard.edu/ids/iiif/18780592/332,584,66,19/full/0/native.jpg)
WATER
![](https://ids.lib.harvard.edu/ids/iiif/18780592/403,579,26,23/full/0/native.jpg)
AT
![](https://ids.lib.harvard.edu/ids/iiif/18780592/434,583,82,19/full/0/native.jpg)
BELLOWS
![](https://ids.lib.harvard.edu/ids/iiif/18780592/522,580,56,23/full/0/native.jpg)
FALLS,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/156,574,35,10/full/0/native.jpg)
1RENG,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/190,574,34,11/full/0/native.jpg)
VROTO.
![](https://ids.lib.harvard.edu/ids/iiif/18780592/224,574,30,9/full/0/native.jpg)
EENE.
![](https://ids.lib.harvard.edu/ids/iiif/18780592/253,575,9,8/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/18780592/584,583,32,19/full/0/native.jpg)
VT.,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/621,583,40,18/full/0/native.jpg)
MAY
![](https://ids.lib.harvard.edu/ids/iiif/18780592/668,583,13,19/full/0/native.jpg)
1,
![](https://ids.lib.harvard.edu/ids/iiif/18780592/687,583,41,19/full/0/native.jpg)
1888.
![](https://ids.lib.harvard.edu/ids/iiif/18780592/734,588,28,11/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18780592/27,608,33,16/full/0/native.jpg)
3354