Machine Generated Data
Tags
Amazon
created on 2019-08-10
Clarifai
created on 2019-08-10
people | 98.7 | |
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portrait | 98.6 | |
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one | 97.8 | |
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adult | 97.2 | |
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man | 95.8 | |
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wear | 92.8 | |
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painting | 89.6 | |
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art | 89.2 | |
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retro | 88.4 | |
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leader | 87.8 | |
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blank | 86.5 | |
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bill | 81.5 | |
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administration | 80.7 | |
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76.9 | ||
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facial expression | 74 | |
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facial hair | 73.5 | |
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empty | 73.1 | |
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museum | 71.9 | |
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vintage | 71.6 | |
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picture frame | 69.3 | |
|
Imagga
created on 2019-08-10
Google
created on 2019-08-10
Photograph | 96.8 | |
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Gentleman | 87.9 | |
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Portrait | 83.1 | |
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Art | 73.1 | |
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Moustache | 63.5 | |
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Drawing | 63.2 | |
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Self-portrait | 62.6 | |
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Photography | 62.4 | |
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Stock photography | 62.1 | |
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Illustration | 60.2 | |
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Visual arts | 59.3 | |
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Black-and-white | 56.4 | |
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Picture frame | 55.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/20493717/342,302,95,150/full/0/native.jpg)
AWS Rekognition
Age | 36-54 |
Gender | Male, 98.4% |
Confused | 1.5% |
Angry | 2% |
Sad | 2.1% |
Surprised | 2.6% |
Happy | 0.2% |
Disgusted | 0.2% |
Calm | 90.3% |
Fear | 1.1% |
![](https://ids.lib.harvard.edu/ids/iiif/20493717/344,331,102,102/full/0/native.jpg)
Microsoft Cognitive Services
Age | 54 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/20493717/305,273,158,183/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 60.5% | |
| ||
people portraits | 15.4% | |
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streetview architecture | 13.9% | |
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text visuals | 3.7% | |
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events parties | 2.7% | |
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food drinks | 2.2% | |
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Captions
Microsoft
created on 2019-08-10
an old photo of a person | 82.7% | |
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old photo of a person | 78.6% | |
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an old photo of a person in a room | 78.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20493717/687,987,28,11/full/0/native.jpg)
1932
![](https://ids.lib.harvard.edu/ids/iiif/20493717/521,181,46,8/full/0/native.jpg)
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![](https://ids.lib.harvard.edu/ids/iiif/20493717/490,811,111,39/full/0/native.jpg)
ntemt
![](https://ids.lib.harvard.edu/ids/iiif/20493717/163,975,35,15/full/0/native.jpg)
$ 73
![](https://ids.lib.harvard.edu/ids/iiif/20493717/481,969,21,24/full/0/native.jpg)
h
![](https://ids.lib.harvard.edu/ids/iiif/20493717/521,969,180,20/full/0/native.jpg)
sfsrhertnrt
![](https://ids.lib.harvard.edu/ids/iiif/20493717/336,968,365,28/full/0/native.jpg)
J' gi 1aMe4 h S sfsrhertnrt
![](https://ids.lib.harvard.edu/ids/iiif/20493717/337,968,48,24/full/0/native.jpg)
J' gi
![](https://ids.lib.harvard.edu/ids/iiif/20493717/394,968,77,28/full/0/native.jpg)
1aMe4
![](https://ids.lib.harvard.edu/ids/iiif/20493717/513,968,16,17/full/0/native.jpg)
S
![](https://ids.lib.harvard.edu/ids/iiif/20493717/454,814,160,41/full/0/native.jpg)
hendelt
![](https://ids.lib.harvard.edu/ids/iiif/20493717/454,814,265,189/full/0/native.jpg)
hendelt
1932
![](https://ids.lib.harvard.edu/ids/iiif/20493717/690,990,29,13/full/0/native.jpg)
1932