Machine Generated Data
Tags
Amazon
created on 2019-05-31
Plot | 87.9 | |
| ||
Diagram | 87.9 | |
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Plan | 87.9 | |
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Text | 79.7 | |
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Nature | 78.5 | |
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Outdoors | 68.6 | |
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Advertisement | 65.4 | |
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Poster | 65.4 | |
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Transportation | 61.6 | |
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Building | 61.5 | |
| ||
Tower | 61.5 | |
| ||
Architecture | 61.5 | |
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Vehicle | 59.4 | |
|
Clarifai
created on 2019-05-31
illustration | 96.5 | |
| ||
monochrome | 94.6 | |
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no person | 93.4 | |
| ||
transportation system | 92.3 | |
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people | 91.1 | |
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technology | 90.3 | |
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business | 87.4 | |
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indoors | 87.2 | |
| ||
vehicle | 87.1 | |
| ||
room | 87.1 | |
| ||
industry | 86.8 | |
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text | 85.2 | |
| ||
equipment | 85.2 | |
| ||
furniture | 84.9 | |
| ||
train | 84.3 | |
| ||
adult | 84 | |
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paper | 81 | |
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house | 80.8 | |
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wall | 79.9 | |
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chair | 78.4 | |
|
Imagga
created on 2019-05-31
Google
created on 2019-05-31
Room | 76.5 | |
| ||
Architecture | 72.6 | |
| ||
Table | 63.8 | |
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Furniture | 61.5 | |
| ||
Interior design | 59.1 | |
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Art | 50.2 | |
|
Microsoft
created on 2019-05-31
furniture | 94.8 | |
| ||
table | 88.8 | |
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black and white | 81.6 | |
|
Color Analysis
Categories
Imagga
interior objects | 100% | |
|
Captions
Microsoft
created on 2019-05-31
an old photo of a person | 30.1% | |
| ||
an old photo of a person | 27.5% | |
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old photo of a person | 27.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18742802/359,306,88,44/full/0/native.jpg)
pgo
![](https://ids.lib.harvard.edu/ids/iiif/18742802/449,302,48,37/full/0/native.jpg)
55
![](https://ids.lib.harvard.edu/ids/iiif/18742802/280,308,166,44/full/0/native.jpg)
26/A pgo
![](https://ids.lib.harvard.edu/ids/iiif/18742802/445,290,183,64/full/0/native.jpg)
55 45
![](https://ids.lib.harvard.edu/ids/iiif/18742802/899,346,92,16/full/0/native.jpg)
backavound
![](https://ids.lib.harvard.edu/ids/iiif/18742802/281,314,70,34/full/0/native.jpg)
26/A
![](https://ids.lib.harvard.edu/ids/iiif/18742802/913,362,69,15/full/0/native.jpg)
filovea
![](https://ids.lib.harvard.edu/ids/iiif/18742802/563,282,66,59/full/0/native.jpg)
45
![](https://ids.lib.harvard.edu/ids/iiif/18742802/904,394,48,12/full/0/native.jpg)
boave
![](https://ids.lib.harvard.edu/ids/iiif/18742802/898,330,76,16/full/0/native.jpg)
nodmore
![](https://ids.lib.harvard.edu/ids/iiif/18742802/904,376,87,16/full/0/native.jpg)
ndiatedon
![](https://ids.lib.harvard.edu/ids/iiif/18742802/906,332,88,81/full/0/native.jpg)
dd mort
backavound
cated cn
board
![](https://ids.lib.harvard.edu/ids/iiif/18742802/911,332,22,20/full/0/native.jpg)
dd
![](https://ids.lib.harvard.edu/ids/iiif/18742802/930,333,42,21/full/0/native.jpg)
mort
![](https://ids.lib.harvard.edu/ids/iiif/18742802/906,347,88,18/full/0/native.jpg)
backavound
![](https://ids.lib.harvard.edu/ids/iiif/18742802/927,379,43,21/full/0/native.jpg)
cated
![](https://ids.lib.harvard.edu/ids/iiif/18742802/970,381,23,20/full/0/native.jpg)
cn
![](https://ids.lib.harvard.edu/ids/iiif/18742802/907,393,50,20/full/0/native.jpg)
board