Machine Generated Data
Tags
Amazon
created on 2019-03-26
Clarifai
created on 2019-03-26
Imagga
created on 2019-03-26
Google
created on 2019-03-26
White | 96.5 | |
| ||
Photograph | 95.4 | |
| ||
Black | 94.8 | |
| ||
Black-and-white | 89.9 | |
| ||
Snapshot | 84.7 | |
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Door | 77.3 | |
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Architecture | 76.3 | |
| ||
Monochrome photography | 76.2 | |
| ||
Monochrome | 75.8 | |
| ||
Window | 68.5 | |
| ||
House | 68.3 | |
| ||
Room | 65.7 | |
| ||
Building | 65 | |
| ||
Photography | 62.4 | |
| ||
History | 60.4 | |
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Facade | 56.5 | |
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Style | 52.5 | |
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Art | 50.2 | |
|
Microsoft
created on 2019-03-26
building | 93.5 | |
| ||
white | 86.2 | |
| ||
black | 80.1 | |
| ||
door | 79.4 | |
| ||
black and white | 79.4 | |
| ||
street | 19.9 | |
| ||
art | 19.1 | |
| ||
house | 18.3 | |
| ||
monochrome | 16.5 | |
| ||
historic | 12.3 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18739220/106,104,37,62/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.9% |
Disgusted | 45.3% |
Surprised | 45.4% |
Angry | 45.2% |
Confused | 45.2% |
Sad | 49.1% |
Calm | 49.4% |
Happy | 45.4% |
![](https://ids.lib.harvard.edu/ids/iiif/18739220/150,126,27,53/full/0/native.jpg)
AWS Rekognition
Age | 49-69 |
Gender | Female, 53.4% |
Happy | 45.7% |
Confused | 45.3% |
Calm | 50.9% |
Disgusted | 45.4% |
Angry | 45.3% |
Surprised | 45.5% |
Sad | 46.9% |
Feature analysis
Categories
Imagga
streetview architecture | 72.8% | |
| ||
interior objects | 27.2% | |
|
Captions
Microsoft
created on 2019-03-26
a black and white photo of a door | 91.4% | |
| ||
a black and white photo of a building | 88% | |
| ||
black and white photo of a door | 87.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18739220/567,323,71,17/full/0/native.jpg)
KFURT
![](https://ids.lib.harvard.edu/ids/iiif/18739220/481,313,86,16/full/0/native.jpg)
HAMMEL
![](https://ids.lib.harvard.edu/ids/iiif/18739220/448,334,52,16/full/0/native.jpg)
COLN
![](https://ids.lib.harvard.edu/ids/iiif/18739220/483,345,115,17/full/0/native.jpg)
TRASSBURG
![](https://ids.lib.harvard.edu/ids/iiif/18739220/459,314,163,18/full/0/native.jpg)
H HAMMELSBECK
![](https://ids.lib.harvard.edu/ids/iiif/18739220/446,300,194,20/full/0/native.jpg)
STIGLER -AUFZUGE
![](https://ids.lib.harvard.edu/ids/iiif/18739220/458,314,165,18/full/0/native.jpg)
H HAMMELSBECK HAMMEL CK
![](https://ids.lib.harvard.edu/ids/iiif/18739220/447,332,191,18/full/0/native.jpg)
COLN -FRA KFURT
![](https://ids.lib.harvard.edu/ids/iiif/18739220/597,304,27,16/full/0/native.jpg)
CK
![](https://ids.lib.harvard.edu/ids/iiif/18739220/506,329,54,16/full/0/native.jpg)
-FRA
![](https://ids.lib.harvard.edu/ids/iiif/18739220/452,276,193,91/full/0/native.jpg)
ORIGINAL
STIGLER-AUFZUGE
H. HAMMELSBECK
COLN FRANKFURT
TRASSBURG
![](https://ids.lib.harvard.edu/ids/iiif/18739220/491,276,98,27/full/0/native.jpg)
ORIGINAL
![](https://ids.lib.harvard.edu/ids/iiif/18739220/452,287,193,35/full/0/native.jpg)
STIGLER-AUFZUGE
![](https://ids.lib.harvard.edu/ids/iiif/18739220/464,318,20,18/full/0/native.jpg)
H.
![](https://ids.lib.harvard.edu/ids/iiif/18739220/486,304,144,30/full/0/native.jpg)
HAMMELSBECK
![](https://ids.lib.harvard.edu/ids/iiif/18739220/453,330,48,26/full/0/native.jpg)
COLN
![](https://ids.lib.harvard.edu/ids/iiif/18739220/512,319,126,32/full/0/native.jpg)
FRANKFURT
![](https://ids.lib.harvard.edu/ids/iiif/18739220/488,340,111,27/full/0/native.jpg)
TRASSBURG