Machine Generated Data
Tags
Amazon
created on 2019-08-09
Clarifai
created on 2019-08-09
people | 99.3 | |
| ||
one | 96.9 | |
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adult | 96.7 | |
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street | 95.3 | |
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door | 95.3 | |
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no person | 95.1 | |
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room | 91.8 | |
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two | 91.7 | |
| ||
monochrome | 90.4 | |
| ||
man | 88 | |
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wear | 87.4 | |
| ||
doorway | 87.2 | |
| ||
elderly | 87.1 | |
| ||
administration | 86.1 | |
| ||
indoors | 84.9 | |
| ||
architecture | 84 | |
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window | 83.1 | |
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home | 83 | |
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furniture | 81.6 | |
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group together | 81.6 | |
|
Imagga
created on 2019-08-09
Google
created on 2019-08-09
Photograph | 96.9 | |
| ||
White | 96.5 | |
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Black | 95.6 | |
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Black-and-white | 92.6 | |
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Snapshot | 89.3 | |
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Monochrome | 79.4 | |
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Photography | 78 | |
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Monochrome photography | 73.3 | |
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Room | 65.7 | |
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Stock photography | 64 | |
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Style | 52.5 | |
|
Microsoft
created on 2019-08-09
text | 99.4 | |
| ||
outdoor | 96.1 | |
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black and white | 93.6 | |
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white | 83.8 | |
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street | 83.1 | |
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black | 76.4 | |
| ||
monochrome | 72.9 | |
| ||
door | 57.4 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/44374736/141,410,15,18/full/0/native.jpg)
AWS Rekognition
Age | 24-38 |
Gender | Male, 50.4% |
Disgusted | 49.5% |
Calm | 49.5% |
Sad | 49.8% |
Confused | 49.5% |
Fear | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Angry | 50.1% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/44374736/114,396,74,125/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/44374736/196,363,51,121/full/0/native.jpg)
Person | 97.5% | |
|
Categories
Imagga
streetview architecture | 78.3% | |
| ||
interior objects | 12.9% | |
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paintings art | 4.7% | |
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text visuals | 3% | |
|
Captions
Microsoft
created on 2019-08-09
a black and white photo of a doorway | 85.5% | |
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a black sign with white letters above a door | 74.4% | |
| ||
a black and white photo of a building | 74.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/44374736/168,286,58,12/full/0/native.jpg)
REFRESCO
![](https://ids.lib.harvard.edu/ids/iiif/44374736/167,69,47,30/full/0/native.jpg)
ISURVE!
![](https://ids.lib.harvard.edu/ids/iiif/44374736/178,167,48,23/full/0/native.jpg)
Caaela
![](https://ids.lib.harvard.edu/ids/iiif/44374736/130,56,89,38/full/0/native.jpg)
ELAD0S ISURVE!
![](https://ids.lib.harvard.edu/ids/iiif/44374736/130,68,35,13/full/0/native.jpg)
ELAD0S
![](https://ids.lib.harvard.edu/ids/iiif/44374736/130,66,117,239/full/0/native.jpg)
HELADOS
ISURVE
Coca-Cola
REFRES CO
![](https://ids.lib.harvard.edu/ids/iiif/44374736/130,67,39,19/full/0/native.jpg)
HELADOS
![](https://ids.lib.harvard.edu/ids/iiif/44374736/156,66,59,43/full/0/native.jpg)
ISURVE
![](https://ids.lib.harvard.edu/ids/iiif/44374736/176,172,54,26/full/0/native.jpg)
Coca-Cola
![](https://ids.lib.harvard.edu/ids/iiif/44374736/170,223,64,82/full/0/native.jpg)
REFRES
![](https://ids.lib.harvard.edu/ids/iiif/44374736/218,201,29,28/full/0/native.jpg)
CO