Machine Generated Data
Tags
Amazon
created on 2020-04-26
Clarifai
created on 2020-04-26
Imagga
created on 2020-04-26
sketch | 58.6 | |
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drawing | 44.9 | |
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water | 41.4 | |
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representation | 36.5 | |
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swamp | 34 | |
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lake | 31.9 | |
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wetland | 29.4 | |
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sky | 23.2 | |
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landscape | 23.1 | |
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land | 21.5 | |
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sunset | 20.7 | |
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sea | 20.5 | |
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reflection | 19.8 | |
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bird | 18.9 | |
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river | 17.3 | |
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summer | 16.7 | |
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outdoors | 16.4 | |
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silhouette | 14.9 | |
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wading bird | 14.9 | |
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cable | 14.3 | |
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travel | 14.1 | |
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ocean | 13.8 | |
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marina | 13.6 | |
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dusk | 13.4 | |
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environment | 13.2 | |
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shore | 12.7 | |
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birds | 12.6 | |
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horizon | 12.6 | |
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park | 12.4 | |
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conservation | 12.3 | |
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sun | 11.5 | |
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vacation | 11.5 | |
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light | 11.4 | |
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beach | 11.2 | |
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clouds | 11 | |
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aquatic bird | 10.8 | |
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coast | 10.8 | |
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fly | 10.7 | |
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natural | 10.7 | |
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crane | 10.7 | |
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wild | 10.5 | |
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sunrise | 10.3 | |
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tree | 10.3 | |
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life | 10.2 | |
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energy | 10.1 | |
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holiday | 10 | |
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tourism | 9.9 | |
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boat | 9.3 | |
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outdoor | 9.2 | |
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morning | 9.1 | |
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mountain | 8.9 | |
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trees | 8.9 | |
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scenic | 8.8 | |
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pond | 8.7 | |
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sand | 8.6 | |
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season | 8.6 | |
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industry | 8.5 | |
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waves | 8.4 | |
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fisherman | 8.3 | |
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calm | 8.2 | |
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drop | 8.2 | |
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tower | 8.1 | |
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wet | 8.1 | |
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wildlife | 8 | |
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forest | 7.8 | |
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plant | 7.8 | |
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flight | 7.7 | |
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winter | 7.7 | |
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power | 7.6 | |
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splash | 7.5 | |
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shorebird | 7.4 | |
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warm | 7.4 | |
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backgrounds | 7.3 | |
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recreation | 7.2 | |
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grass | 7.1 | |
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Google
created on 2020-04-26
Drawing | 79.2 | |
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Sketch | 76.5 | |
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Vehicle | 72.8 | |
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Boat | 69.3 | |
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Artwork | 64.1 | |
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Watercraft | 56.6 | |
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Illustration | 50.4 | |
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Art | 50.2 | |
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Color Analysis
Feature analysis
Categories
Imagga
text visuals | 71.7% | |
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paintings art | 22.5% | |
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beaches seaside | 2.8% | |
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food drinks | 1.3% | |
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interior objects | 1.2% | |
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Captions
Microsoft
created on 2020-04-26
a close up of text on a white surface | 54.4% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20219871/368,540,0,0/full/0/native.jpg)
M
![](https://ids.lib.harvard.edu/ids/iiif/20219871/823,663,56,29/full/0/native.jpg)
w
![](https://ids.lib.harvard.edu/ids/iiif/20219871/821,659,142,34/full/0/native.jpg)
w Vina
![](https://ids.lib.harvard.edu/ids/iiif/20219871/888,659,76,34/full/0/native.jpg)
Vina
![](https://ids.lib.harvard.edu/ids/iiif/20219871/29,41,0,0/full/0/native.jpg)
FT
![](https://ids.lib.harvard.edu/ids/iiif/20219871/375,408,1,0/full/0/native.jpg)
Mgorians
![](https://ids.lib.harvard.edu/ids/iiif/20219871/931,363,0,0/full/0/native.jpg)
j
![](https://ids.lib.harvard.edu/ids/iiif/20219871/15,46,951,651/full/0/native.jpg)
JWR Yena,
ET
![](https://ids.lib.harvard.edu/ids/iiif/20219871/826,668,56,28/full/0/native.jpg)
JWR
![](https://ids.lib.harvard.edu/ids/iiif/20219871/894,667,72,30/full/0/native.jpg)
Yena,
![](https://ids.lib.harvard.edu/ids/iiif/20219871/15,46,18,21/full/0/native.jpg)
ET