Machine Generated Data
Tags
Amazon
created on 2022-01-21
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-21
Google
created on 2022-01-21
Coat | 92.1 | |
| ||
Picture frame | 90.7 | |
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Black | 89.6 | |
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Flash photography | 87.8 | |
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Standing | 86.4 | |
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Black-and-white | 85.4 | |
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Gesture | 85.3 | |
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Dress | 84.6 | |
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Style | 83.9 | |
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Interaction | 82.9 | |
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Suit | 78.6 | |
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Formal wear | 78 | |
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Monochrome photography | 76 | |
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Hat | 75.8 | |
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Gown | 74.6 | |
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Monochrome | 74.2 | |
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Vintage clothing | 73.4 | |
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Event | 72.2 | |
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Art | 72 | |
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Classic | 71.9 | |
|
Microsoft
created on 2022-01-21
person | 98.5 | |
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wall | 97.8 | |
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dress | 97.1 | |
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text | 94.5 | |
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indoor | 92.6 | |
| ||
standing | 92.1 | |
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wedding dress | 90.2 | |
| ||
clothing | 86 | |
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wedding | 82.7 | |
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smile | 81.4 | |
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bride | 76.8 | |
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black and white | 67.3 | |
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woman | 61.5 | |
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human face | 55.6 | |
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marriage | 50.3 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18830111/236,305,72,86/full/0/native.jpg)
AWS Rekognition
Age | 38-46 |
Gender | Female, 65.7% |
Calm | 91.8% |
Happy | 4.6% |
Sad | 2.1% |
Disgusted | 0.6% |
Confused | 0.4% |
Surprised | 0.3% |
Angry | 0.2% |
Fear | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18830111/355,224,83,88/full/0/native.jpg)
AWS Rekognition
Age | 23-33 |
Gender | Female, 55.7% |
Calm | 55.7% |
Happy | 41.2% |
Sad | 1.4% |
Disgusted | 0.4% |
Angry | 0.4% |
Confused | 0.4% |
Surprised | 0.3% |
Fear | 0.2% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18830111/76,237,375,711/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18830111/299,161,278,793/full/0/native.jpg)
Person | 97% | |
|
Categories
Imagga
events parties | 54.4% | |
| ||
people portraits | 19.2% | |
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paintings art | 15.7% | |
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food drinks | 6.2% | |
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interior objects | 2.2% | |
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streetview architecture | 1.4% | |
|
Captions
Microsoft
created on 2022-01-21
a person standing in front of a mirror posing for the camera | 93.3% | |
| ||
a person standing in front of a mirror | 93.2% | |
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a person that is standing in front of a mirror posing for the camera | 89.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18830111/609,989,11,12/full/0/native.jpg)
7
![](https://ids.lib.harvard.edu/ids/iiif/18830111/331,990,33,6/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18830111/338,996,18,6/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18830111/332,984,31,6/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18830111/658,10,95,34/full/0/native.jpg)
-١-
![](https://ids.lib.harvard.edu/ids/iiif/18830111/334,986,290,21/full/0/native.jpg)
KODAR
SAFETY
7
![](https://ids.lib.harvard.edu/ids/iiif/18830111/334,986,33,11/full/0/native.jpg)
KODAR
![](https://ids.lib.harvard.edu/ids/iiif/18830111/334,992,35,12/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18830111/611,991,13,16/full/0/native.jpg)
7