Machine Generated Data
Tags
Amazon
created on 2023-10-25
Adult | 98.5 | |
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Male | 98.5 | |
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Man | 98.5 | |
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Person | 98.5 | |
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Furniture | 97.2 | |
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Adult | 94.9 | |
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Male | 94.9 | |
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Man | 94.9 | |
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Person | 94.9 | |
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Face | 92.4 | |
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Head | 92.4 | |
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Photography | 90.2 | |
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Table | 89.9 | |
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Computer Hardware | 89.2 | |
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Electronics | 89.2 | |
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Hardware | 89.2 | |
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Portrait | 87.5 | |
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Desk | 84.7 | |
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Architecture | 82.6 | |
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Building | 82.6 | |
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Hospital | 82.6 | |
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Person | 80.8 | |
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Monitor | 77.8 | |
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Screen | 77.8 | |
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Accessories | 70.4 | |
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Glasses | 70.4 | |
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Person | 63.4 | |
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Sitting | 57.7 | |
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Indoors | 57.4 | |
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Living Room | 57.4 | |
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Room | 57.4 | |
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Computer | 57.1 | |
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Pc | 57.1 | |
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Bed | 56.7 | |
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Bedroom | 56.7 | |
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Clarifai
created on 2018-10-06
adult | 98.8 | |
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people | 98.1 | |
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indoors | 97.7 | |
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woman | 96.2 | |
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technology | 95 | |
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one | 94.9 | |
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room | 94.7 | |
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man | 94.6 | |
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furniture | 91.2 | |
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computer | 90 | |
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hospital | 86.7 | |
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sit | 86.2 | |
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science | 85.8 | |
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scientist | 81.8 | |
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medicine | 80.6 | |
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connection | 75.8 | |
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laboratory | 75.6 | |
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healthcare | 74.9 | |
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desk | 74.7 | |
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office | 71.9 | |
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Imagga
created on 2018-10-06
Google
created on 2018-10-06
photograph | 95.9 | |
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black and white | 90.9 | |
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photography | 79.8 | |
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monochrome photography | 72.3 | |
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monochrome | 63.2 | |
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medical equipment | 54 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15489869/632,225,76,82/full/0/native.jpg)
AWS Rekognition
Age | 43-51 |
Gender | Female, 95.3% |
Calm | 96.8% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.4% |
Confused | 1.2% |
Angry | 0.8% |
Happy | 0.2% |
Disgusted | 0.2% |
Feature analysis
Categories
Imagga
paintings art | 98.1% | |
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text visuals | 0.9% | |
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interior objects | 0.8% | |
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food drinks | 0.1% | |
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Captions
Microsoft
created on 2018-10-06
a person posing for the camera | 91.1% | |
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a man and a woman posing for a photo | 41.5% | |
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an old photo of a person | 41.4% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15489869/262,234,35,10/full/0/native.jpg)
BRIGADE
![](https://ids.lib.harvard.edu/ids/iiif/15489869/262,232,79,13/full/0/native.jpg)
BRIGADE CHAPLAIN
![](https://ids.lib.harvard.edu/ids/iiif/15489869/348,230,28,10/full/0/native.jpg)
ECTION
![](https://ids.lib.harvard.edu/ids/iiif/15489869/300,232,40,10/full/0/native.jpg)
CHAPLAIN
![](https://ids.lib.harvard.edu/ids/iiif/15489869/357,274,5,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/15489869/378,229,5,9/full/0/native.jpg)
1
![](https://ids.lib.harvard.edu/ids/iiif/15489869/353,244,7,8/full/0/native.jpg)
E
![](https://ids.lib.harvard.edu/ids/iiif/15489869/265,267,11,4/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/15489869/302,271,19,9/full/0/native.jpg)
R&C
![](https://ids.lib.harvard.edu/ids/iiif/15489869/271,261,15,5/full/0/native.jpg)
KOREA
![](https://ids.lib.harvard.edu/ids/iiif/15489869/302,269,45,11/full/0/native.jpg)
صحة R&C
![](https://ids.lib.harvard.edu/ids/iiif/15489869/307,246,27,7/full/0/native.jpg)
MOTHERS
![](https://ids.lib.harvard.edu/ids/iiif/15489869/325,270,21,8/full/0/native.jpg)
صحة
![](https://ids.lib.harvard.edu/ids/iiif/15489869/260,231,118,19/full/0/native.jpg)
BRIGADE CHAPLAIN ECTION
![](https://ids.lib.harvard.edu/ids/iiif/15489869/260,235,39,15/full/0/native.jpg)
BRIGADE
![](https://ids.lib.harvard.edu/ids/iiif/15489869/300,232,42,16/full/0/native.jpg)
CHAPLAIN
![](https://ids.lib.harvard.edu/ids/iiif/15489869/345,231,33,15/full/0/native.jpg)
ECTION