Machine Generated Data
Tags
Amazon
created on 2022-01-21
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-21
fountain | 25 | |
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water | 23.3 | |
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park | 18.2 | |
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snow | 15.7 | |
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travel | 14.8 | |
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people | 13.9 | |
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outdoor | 13.8 | |
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weather | 13.7 | |
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outdoors | 13.6 | |
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grunge | 13.6 | |
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landscape | 13.4 | |
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structure | 13.3 | |
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forest | 13 | |
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tree | 13 | |
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old | 12.5 | |
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newspaper | 12 | |
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wet | 11.6 | |
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cool | 11.5 | |
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art | 11.1 | |
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sea | 10.9 | |
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black | 10.8 | |
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vintage | 10.7 | |
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rock | 10.4 | |
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retro | 9.8 | |
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texture | 9.7 | |
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child | 9.5 | |
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scene | 9.5 | |
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cold | 9.5 | |
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man | 9.4 | |
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wall | 9.4 | |
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product | 9.4 | |
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person | 9.4 | |
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light | 9.4 | |
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shower curtain | 9.2 | |
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lake | 9.1 | |
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women | 8.7 | |
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architecture | 8.6 | |
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beach | 8.6 | |
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walk | 8.6 | |
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winter | 8.5 | |
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adult | 8.5 | |
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creation | 8.4 | |
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relaxation | 8.4 | |
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summer | 8.4 | |
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peaceful | 8.2 | |
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paint | 8.1 | |
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recreation | 8.1 | |
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sexy | 8 | |
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river | 8 | |
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trees | 8 | |
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night | 8 | |
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holiday | 7.9 | |
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ocean | 7.9 | |
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boat | 7.8 | |
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color | 7.8 | |
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furnishing | 7.7 | |
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wood | 7.5 | |
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fun | 7.5 | |
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city | 7.5 | |
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building | 7.4 | |
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bench | 7.4 | |
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tourism | 7.4 | |
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style | 7.4 | |
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sun | 7.4 | |
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natural | 7.4 | |
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curtain | 7.3 | |
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ice | 7.2 | |
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happiness | 7 | |
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country | 7 | |
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scenic | 7 | |
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season | 7 | |
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textured | 7 | |
|
Google
created on 2022-01-21
Black-and-white | 84.4 | |
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Art | 77.6 | |
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Monochrome photography | 75.4 | |
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Monochrome | 75.3 | |
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Tints and shades | 74.3 | |
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Font | 73.2 | |
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Room | 68.1 | |
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Serveware | 67.5 | |
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Visual arts | 67.3 | |
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Rectangle | 66.9 | |
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Event | 64.4 | |
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Still life photography | 64.1 | |
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Glass | 63.7 | |
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Stock photography | 62.8 | |
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Tree | 59.7 | |
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Still life | 58.6 | |
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Photographic paper | 57.3 | |
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Interior design | 57.2 | |
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Illustration | 53 | |
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Microsoft
created on 2022-01-21
text | 99.4 | |
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black and white | 89.1 | |
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toddler | 78.2 | |
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person | 73 | |
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baby | 57 | |
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monochrome | 50.4 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18829723/342,486,205,302/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18829723/18,360,137,381/full/0/native.jpg)
Person | 98.5% | |
|
Categories
Imagga
interior objects | 56.2% | |
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streetview architecture | 34.9% | |
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paintings art | 7.3% | |
|
Captions
Microsoft
created on 2022-01-21
a man riding a skateboard up the side of a building | 25.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18829723/634,859,22,23/full/0/native.jpg)
S
![](https://ids.lib.harvard.edu/ids/iiif/18829723/305,18,10,8/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18829723/632,858,48,51/full/0/native.jpg)
S في
![](https://ids.lib.harvard.edu/ids/iiif/18829723/646,876,33,32/full/0/native.jpg)
في
![](https://ids.lib.harvard.edu/ids/iiif/18829723/711,886,39,31/full/0/native.jpg)
ملي
![](https://ids.lib.harvard.edu/ids/iiif/18829723/26,17,496,934/full/0/native.jpg)
YTヨ3A2
bo
い
![](https://ids.lib.harvard.edu/ids/iiif/18829723/443,17,34,19/full/0/native.jpg)
YT
![](https://ids.lib.harvard.edu/ids/iiif/18829723/474,17,16,19/full/0/native.jpg)
ヨ
![](https://ids.lib.harvard.edu/ids/iiif/18829723/483,22,39,14/full/0/native.jpg)
3A2
![](https://ids.lib.harvard.edu/ids/iiif/18829723/26,543,34,23/full/0/native.jpg)
bo
![](https://ids.lib.harvard.edu/ids/iiif/18829723/276,916,95,35/full/0/native.jpg)
い