Machine Generated Data
Tags
Amazon
created on 2019-07-23
Human | 98.4 | |
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Person | 98.4 | |
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Person | 97.9 | |
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Person | 95.9 | |
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Person | 94.8 | |
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Person | 92 | |
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Water | 88.7 | |
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Person | 87.1 | |
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Outdoors | 85.9 | |
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Sea | 73.6 | |
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Ocean | 73.6 | |
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Nature | 73.6 | |
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Land | 70.1 | |
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Art | 67.7 | |
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Watercraft | 64.4 | |
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Transportation | 64.4 | |
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Vessel | 64.4 | |
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Vehicle | 64.4 | |
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Painting | 60.2 | |
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Adventure | 59.4 | |
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Leisure Activities | 59.4 | |
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Coast | 59.2 | |
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Shoreline | 59.2 | |
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Tree | 55.9 | |
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Plant | 55.9 | |
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Clarifai
created on 2019-07-23
Imagga
created on 2019-07-23
Google
created on 2019-07-23
Water | 91 | |
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Tree | 77.8 | |
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Illustration | 75.9 | |
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Painting | 69.8 | |
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Art | 62.5 | |
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World | 60.5 | |
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Watercolor paint | 53.8 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18732362/326,507,13,16/full/0/native.jpg)
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Happy | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Sad | 50% |
Surprised | 49.5% |
Confused | 49.5% |
Calm | 49.8% |
Feature analysis
Categories
Imagga
paintings art | 32.6% | |
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beaches seaside | 31.2% | |
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nature landscape | 18.9% | |
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sunrises sunsets | 6.6% | |
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food drinks | 5.5% | |
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interior objects | 2.9% | |
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cars vehicles | 1.4% | |
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Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18732362/963,568,1,0/full/0/native.jpg)
OER
![](https://ids.lib.harvard.edu/ids/iiif/18732362/954,177,44,188/full/0/native.jpg)
京都名吸き行
![](https://ids.lib.harvard.edu/ids/iiif/18732362/954,177,42,90/full/0/native.jpg)
京都
![](https://ids.lib.harvard.edu/ids/iiif/18732362/955,263,41,28/full/0/native.jpg)
名
![](https://ids.lib.harvard.edu/ids/iiif/18732362/956,287,42,35/full/0/native.jpg)
吸
![](https://ids.lib.harvard.edu/ids/iiif/18732362/956,318,41,23/full/0/native.jpg)
き
![](https://ids.lib.harvard.edu/ids/iiif/18732362/957,337,41,28/full/0/native.jpg)
行