Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
Google
created on 2022-01-08
Black | 89.5 | |
| ||
Sleeve | 87.2 | |
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Dress | 83.5 | |
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Bag | 74.7 | |
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Chair | 74.1 | |
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Vintage clothing | 71.5 | |
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Monochrome photography | 69.8 | |
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Sitting | 69.7 | |
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Pattern | 69 | |
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Comfort | 66.7 | |
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Room | 66.2 | |
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Luggage and bags | 65.9 | |
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Stock photography | 65.2 | |
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Book | 65.2 | |
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Office equipment | 64.4 | |
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Lap | 63 | |
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Font | 61.8 | |
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Monochrome | 59.3 | |
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Linens | 55.5 | |
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Retro style | 54.8 | |
|
Microsoft
created on 2022-01-08
text | 96.1 | |
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clothing | 92.7 | |
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person | 92.2 | |
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black and white | 87.4 | |
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human face | 86.1 | |
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book | 58.4 | |
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drawing | 50.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/18785860/273,194,83,113/full/0/native.jpg)
AWS Rekognition
Age | 41-49 |
Gender | Male, 70.2% |
Disgusted | 94.8% |
Angry | 2.5% |
Calm | 0.9% |
Happy | 0.6% |
Confused | 0.5% |
Sad | 0.4% |
Surprised | 0.2% |
Fear | 0.2% |
![](https://ids.lib.harvard.edu/ids/iiif/18785860/288,217,69,69/full/0/native.jpg)
Microsoft Cognitive Services
Age | 31 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18785860/264,182,106,124/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18785860/108,150,490,781/full/0/native.jpg)
Person | 94.4% | |
|
Categories
Imagga
paintings art | 99.3% | |
|
Captions
Microsoft
created on 2022-01-08
text | 27.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18785860/270,588,26,70/full/0/native.jpg)
MILK-BONE
![](https://ids.lib.harvard.edu/ids/iiif/18785860/286,632,9,17/full/0/native.jpg)
DOG
![](https://ids.lib.harvard.edu/ids/iiif/18785860/286,602,14,47/full/0/native.jpg)
DOG BISCUIT
![](https://ids.lib.harvard.edu/ids/iiif/18785860/287,602,12,30/full/0/native.jpg)
BISCUIT
![](https://ids.lib.harvard.edu/ids/iiif/18785860/464,450,29,16/full/0/native.jpg)
MURDER
![](https://ids.lib.harvard.edu/ids/iiif/18785860/254,621,11,20/full/0/native.jpg)
MILK
![](https://ids.lib.harvard.edu/ids/iiif/18785860/254,601,14,41/full/0/native.jpg)
MILK BONE
![](https://ids.lib.harvard.edu/ids/iiif/18785860/257,602,11,18/full/0/native.jpg)
BONE
![](https://ids.lib.harvard.edu/ids/iiif/18785860/621,19,50,40/full/0/native.jpg)
igune
![](https://ids.lib.harvard.edu/ids/iiif/18785860/697,121,49,43/full/0/native.jpg)
ligrer
![](https://ids.lib.harvard.edu/ids/iiif/18785860/270,589,35,74/full/0/native.jpg)
MILK-BONE
![](https://ids.lib.harvard.edu/ids/iiif/18785860/270,590,35,73/full/0/native.jpg)
MILK-BONE