Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-26
people | 99.8 | |
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man | 99 | |
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adult | 98.5 | |
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monochrome | 98.1 | |
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woman | 96.8 | |
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indoors | 95.8 | |
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group | 95.5 | |
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two | 95.1 | |
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religion | 93.9 | |
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hospital | 93.4 | |
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child | 92.3 | |
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leader | 91.7 | |
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healthcare | 91.3 | |
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medical practitioner | 90.8 | |
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sit | 90.7 | |
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administration | 89.3 | |
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three | 88.5 | |
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patient | 87 | |
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gown (clothing) | 85.6 | |
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illness | 85.2 | |
|
Imagga
created on 2022-01-15
Google
created on 2022-01-15
Black | 89.5 | |
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Black-and-white | 85.9 | |
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Gesture | 85.3 | |
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Style | 83.9 | |
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Monochrome | 75.8 | |
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Font | 75.5 | |
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Monochrome photography | 75.4 | |
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T-shirt | 73.2 | |
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Event | 72.4 | |
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Room | 64.7 | |
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Stock photography | 64.2 | |
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Happy | 58.9 | |
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Conversation | 58.4 | |
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Love | 53.4 | |
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Visual arts | 50.5 | |
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Microsoft
created on 2022-01-15
text | 99.1 | |
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person | 96.7 | |
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black and white | 91.6 | |
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monochrome | 77.1 | |
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clothing | 70.1 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18818661/420,340,92,110/full/0/native.jpg)
AWS Rekognition
Age | 54-64 |
Gender | Male, 99.8% |
Calm | 87.8% |
Surprised | 7.6% |
Confused | 2.1% |
Angry | 0.7% |
Sad | 0.6% |
Disgusted | 0.5% |
Happy | 0.4% |
Fear | 0.3% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18818661/436,242,408,489/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18818661/73,135,560,625/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18818661/851,264,142,524/full/0/native.jpg)
Person | 98.9% | |
|
Categories
Imagga
events parties | 69.6% | |
| ||
people portraits | 15.4% | |
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streetview architecture | 7% | |
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text visuals | 3.2% | |
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paintings art | 2.4% | |
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Captions
Microsoft
created on 2022-01-15
a group of people standing in front of a window | 82.3% | |
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a group of people standing in front of a mirror | 74.4% | |
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a group of people in front of a window | 74.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18818661/981,584,27,142/full/0/native.jpg)
14722
![](https://ids.lib.harvard.edu/ids/iiif/18818661/987,173,15,37/full/0/native.jpg)
DES
![](https://ids.lib.harvard.edu/ids/iiif/18818661/369,766,174,35/full/0/native.jpg)
14722.
![](https://ids.lib.harvard.edu/ids/iiif/18818661/975,299,35,428/full/0/native.jpg)
14722 ARKODA
![](https://ids.lib.harvard.edu/ids/iiif/18818661/979,299,30,295/full/0/native.jpg)
ARKODA
![](https://ids.lib.harvard.edu/ids/iiif/18818661/372,164,638,642/full/0/native.jpg)
NOMIN
14722.
NAGON-YT3RA2-MAMTZA322 Ch
![](https://ids.lib.harvard.edu/ids/iiif/18818661/372,769,175,37/full/0/native.jpg)
14722.
![](https://ids.lib.harvard.edu/ids/iiif/18818661/987,702,24,30/full/0/native.jpg)
Ch
![](https://ids.lib.harvard.edu/ids/iiif/18818661/881,164,113,98/full/0/native.jpg)
NOMIN
![](https://ids.lib.harvard.edu/ids/iiif/18818661/986,306,24,352/full/0/native.jpg)
NAGON-YT3RA2-MAMTZA322