Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 98.6 | |
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Human | 98.6 | |
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Nature | 93.5 | |
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Person | 91.8 | |
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Person | 88 | |
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Waterfront | 83.7 | |
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Water | 83.7 | |
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Building | 79.5 | |
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Person | 78.1 | |
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Outdoors | 76.3 | |
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Port | 73.6 | |
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Pier | 73.6 | |
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Dock | 73.6 | |
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Landscape | 72.9 | |
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Person | 71 | |
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Architecture | 68 | |
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Road | 67.7 | |
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Harbor | 60.4 | |
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Plant | 60 | |
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Tree | 60 | |
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Urban | 59 | |
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Vehicle | 58 | |
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Transportation | 58 | |
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Weather | 57.3 | |
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Intersection | 55.5 | |
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Clarifai
created on 2023-10-25
vehicle | 99.1 | |
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people | 98.6 | |
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transportation system | 98 | |
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monochrome | 97.9 | |
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no person | 96.2 | |
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railway | 96.1 | |
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train | 95.5 | |
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street | 94 | |
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aircraft | 93.7 | |
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many | 91.9 | |
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group | 91.1 | |
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industry | 90.8 | |
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watercraft | 90.5 | |
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road | 90.4 | |
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man | 90.1 | |
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group together | 89.7 | |
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city | 88.5 | |
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adult | 86.7 | |
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bridge | 84.9 | |
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grinder | 82.1 | |
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Imagga
created on 2022-01-09
Google
created on 2022-01-09
Black-and-white | 84.3 | |
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Style | 83.8 | |
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Adaptation | 79.4 | |
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Plant | 78.6 | |
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Tree | 77.1 | |
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Tints and shades | 75.8 | |
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Rectangle | 73.4 | |
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Monochrome photography | 73.1 | |
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Monochrome | 73.1 | |
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Urban design | 70.8 | |
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Room | 67.9 | |
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Water | 67.7 | |
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Art | 65.2 | |
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Font | 64.6 | |
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History | 64.6 | |
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Paper product | 62.3 | |
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Building | 62.1 | |
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Stock photography | 62 | |
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Swimming pool | 60 | |
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Photographic paper | 58.8 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18793117/539,478,16,20/full/0/native.jpg)
AWS Rekognition
Age | 19-27 |
Gender | Female, 91.3% |
Calm | 96.9% |
Happy | 1.5% |
Sad | 1.1% |
Surprised | 0.1% |
Fear | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |
Angry | 0.1% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18793117/511,467,68,212/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18793117/345,485,30,85/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18793117/466,533,35,71/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18793117/811,397,18,32/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18793117/635,367,14,28/full/0/native.jpg)
Person | 98.6% | |
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Categories
Imagga
nature landscape | 45.8% | |
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beaches seaside | 34.2% | |
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streetview architecture | 12.8% | |
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paintings art | 3.5% | |
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text visuals | 1.7% | |
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cars vehicles | 1.4% | |
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Captions
Microsoft
created on 2022-01-09
a vintage photo of a train | 75.7% | |
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a vintage photo of a train station | 75.6% | |
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a vintage photo of a bridge | 70.4% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18793117/521,782,166,32/full/0/native.jpg)
41912.
![](https://ids.lib.harvard.edu/ids/iiif/18793117/555,785,145,36/full/0/native.jpg)
1912.
![](https://ids.lib.harvard.edu/ids/iiif/18793117/555,785,145,36/full/0/native.jpg)
1912.