Machine Generated Data
Tags
Amazon
created on 2019-03-26
Apparel | 99.4 | |
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Clothing | 99.4 | |
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Accessories | 98.1 | |
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Accessory | 98.1 | |
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Sunglasses | 98.1 | |
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Person | 95.3 | |
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Human | 95.3 | |
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Face | 93 | |
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Home Decor | 84.3 | |
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Sleeve | 83.7 | |
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Female | 77.1 | |
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Finger | 73.7 | |
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Portrait | 72 | |
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Photo | 72 | |
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Photography | 72 | |
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Head | 63 | |
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Woman | 61.5 | |
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Creme | 59 | |
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Cream | 59 | |
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Food | 59 | |
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Icing | 59 | |
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Dessert | 59 | |
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Cake | 59 | |
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Suit | 56.6 | |
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Coat | 56.6 | |
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Overcoat | 56.6 | |
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Long Sleeve | 55.7 | |
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Clarifai
created on 2019-03-26
Imagga
created on 2019-03-26
Google
created on 2019-03-26
Photograph | 97.3 | |
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White | 96.9 | |
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Black-and-white | 90.3 | |
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Snapshot | 84.5 | |
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Monochrome photography | 83.3 | |
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Eyewear | 77.7 | |
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Photography | 75.7 | |
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Stock photography | 71.4 | |
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Monochrome | 67.6 | |
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Gentleman | 63.5 | |
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Glasses | 59.7 | |
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Portrait | 56.7 | |
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Vision care | 54.5 | |
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Style | 52.5 | |
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Formal wear | 52.3 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20221138/349,269,162,189/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 95.7% |
Disgusted | 0.9% |
Sad | 84.3% |
Surprised | 1.5% |
Happy | 4.2% |
Angry | 2.5% |
Calm | 3.4% |
Confused | 3.1% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20221138/474,296,131,84/full/0/native.jpg)
Sunglasses | 98.1% | |
|
![](https://ids.lib.harvard.edu/ids/iiif/20221138/27,167,592,796/full/0/native.jpg)
Person | 95.3% | |
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Categories
Imagga
paintings art | 100% | |
|
Captions
Microsoft
created on 2019-03-26
a man standing in front of a mirror posing for the camera | 78.4% | |
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a man in front of a mirror posing for the camera | 78.3% | |
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a man that is standing in front of a mirror posing for the camera | 69.2% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20221138/286,16,64,9/full/0/native.jpg)
YT33A2
![](https://ids.lib.harvard.edu/ids/iiif/20221138/146,14,33,13/full/0/native.jpg)
Eas
![](https://ids.lib.harvard.edu/ids/iiif/20221138/227,12,43,15/full/0/native.jpg)
MJ
![](https://ids.lib.harvard.edu/ids/iiif/20221138/146,10,272,17/full/0/native.jpg)
Eas MJ MJ1-Y33A2-A004 YT33A2 XAQOX
![](https://ids.lib.harvard.edu/ids/iiif/20221138/229,12,187,17/full/0/native.jpg)
MJ1-Y33A2-A004
![](https://ids.lib.harvard.edu/ids/iiif/20221138/369,15,49,11/full/0/native.jpg)
XAQOX