Machine Generated Data
Tags
Amazon
created on 2023-10-25
Art | 100 | |
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Collage | 100 | |
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Person | 98.6 | |
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Person | 98.1 | |
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Person | 98 | |
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Person | 97.6 | |
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Person | 97.2 | |
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Person | 97.1 | |
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Person | 96.6 | |
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Person | 96.4 | |
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Person | 93.1 | |
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Adult | 93.1 | |
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Male | 93.1 | |
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Man | 93.1 | |
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Person | 91.9 | |
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Person | 90.9 | |
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Person | 89.1 | |
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Person | 88.8 | |
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Person | 88.8 | |
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Person | 85.6 | |
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Person | 84.6 | |
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Person | 81.4 | |
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Person | 80.2 | |
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Person | 79.3 | |
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Person | 75.7 | |
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Face | 73.9 | |
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Head | 73.9 | |
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Person | 69.8 | |
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Person | 68.7 | |
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Person | 63.9 | |
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Person | 63.5 | |
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Person | 62.9 | |
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Chart | 57.6 | |
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Plot | 57.6 | |
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Person | 57 | |
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Clarifai
created on 2018-10-06
people | 98.6 | |
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man | 95.8 | |
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adult | 93.3 | |
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monochrome | 92.7 | |
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woman | 92.5 | |
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medicine | 87.3 | |
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indoors | 86.3 | |
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group | 83.3 | |
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desktop | 80 | |
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scientist | 79.3 | |
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laboratory | 75.1 | |
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collage | 74.1 | |
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chemistry | 73.1 | |
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science | 73 | |
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uniform | 71 | |
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hospital | 70.7 | |
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horizontal | 69 | |
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science laboratory | 68.6 | |
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concentration | 68.5 | |
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coat | 68 | |
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Imagga
created on 2018-10-06
Google
created on 2018-10-06
photograph | 95.4 | |
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black | 95.1 | |
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black and white | 93.7 | |
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monochrome photography | 83.2 | |
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photography | 78.3 | |
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monochrome | 70.5 | |
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font | 52.1 | |
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product | 50.6 | |
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stock photography | 50.4 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979102/625,57,15,29/full/0/native.jpg)
AWS Rekognition
Age | 26-36 |
Gender | Male, 88.2% |
Calm | 97.1% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.5% |
Happy | 0.4% |
Confused | 0.4% |
Disgusted | 0.3% |
Angry | 0.2% |
Feature analysis
Categories
Imagga
interior objects | 89.4% | |
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paintings art | 6.5% | |
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people portraits | 2.4% | |
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pets animals | 1.3% | |
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text visuals | 0.3% | |
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food drinks | 0.2% | |
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Captions
Microsoft
created on 2018-10-06
a group of people standing in front of a building | 82.5% | |
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a group of people standing next to a building | 81.1% | |
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a group of people standing outside of a building | 80.7% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979102/642,13,8,5/full/0/native.jpg)
21
![](https://ids.lib.harvard.edu/ids/iiif/38979102/802,159,27,6/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979102/808,13,10,6/full/0/native.jpg)
22
![](https://ids.lib.harvard.edu/ids/iiif/38979102/134,5,8,7/full/0/native.jpg)
18
![](https://ids.lib.harvard.edu/ids/iiif/38979102/303,9,7,6/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/38979102/643,157,20,6/full/0/native.jpg)
SUPLA
![](https://ids.lib.harvard.edu/ids/iiif/38979102/623,157,14,5/full/0/native.jpg)
5660
![](https://ids.lib.harvard.edu/ids/iiif/38979102/623,157,69,6/full/0/native.jpg)
5660 SUPLA HEPAN
![](https://ids.lib.harvard.edu/ids/iiif/38979102/670,157,22,6/full/0/native.jpg)
HEPAN
![](https://ids.lib.harvard.edu/ids/iiif/38979102/470,11,10,5/full/0/native.jpg)
BJ
![](https://ids.lib.harvard.edu/ids/iiif/38979102/135,6,560,162/full/0/native.jpg)
18
5660 SUPE HYPAN
![](https://ids.lib.harvard.edu/ids/iiif/38979102/135,6,11,10/full/0/native.jpg)
18
![](https://ids.lib.harvard.edu/ids/iiif/38979102/623,157,18,11/full/0/native.jpg)
5660
![](https://ids.lib.harvard.edu/ids/iiif/38979102/640,157,22,11/full/0/native.jpg)
SUPE
![](https://ids.lib.harvard.edu/ids/iiif/38979102/667,157,28,11/full/0/native.jpg)
HYPAN