Machine Generated Data
Tags
Amazon
created on 2019-11-18
Clarifai
created on 2019-11-18
people | 99.9 | |
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group together | 99.2 | |
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watercraft | 99.2 | |
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adult | 98.4 | |
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man | 98.1 | |
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vehicle | 97.6 | |
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one | 96.8 | |
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wear | 94.9 | |
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group | 94.5 | |
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transportation system | 93.1 | |
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many | 92.8 | |
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two | 92.6 | |
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graffiti | 88.8 | |
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war | 88.6 | |
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military | 88 | |
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three | 87.9 | |
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woman | 87.7 | |
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aircraft | 87.4 | |
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several | 86.9 | |
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competition | 86.4 | |
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Imagga
created on 2019-11-18
building | 32.1 | |
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old | 26.5 | |
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crane | 24 | |
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city | 21.6 | |
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architecture | 21.2 | |
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ship | 21.2 | |
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vessel | 20.4 | |
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industry | 18.8 | |
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device | 18.5 | |
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construction | 18 | |
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sky | 16.6 | |
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boat | 15.6 | |
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industrial | 15.4 | |
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urban | 14.8 | |
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house | 14.2 | |
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wall | 14.1 | |
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structure | 13.8 | |
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steel | 13.4 | |
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vintage | 13.2 | |
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black | 13.2 | |
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travel | 12.7 | |
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buildings | 12.3 | |
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machine | 12.2 | |
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town | 12.1 | |
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water | 11.3 | |
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bridge | 10.7 | |
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shipping | 10.6 | |
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window | 10.3 | |
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work | 10.2 | |
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sea | 10.2 | |
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tourism | 9.9 | |
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transportation | 9.9 | |
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dock | 9.7 | |
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port | 9.6 | |
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harbor | 9.6 | |
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home | 9.6 | |
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concrete | 9.6 | |
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grunge | 9.4 | |
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iron | 9.3 | |
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lifting device | 9.3 | |
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exterior | 9.2 | |
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street | 9.2 | |
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frame | 9.2 | |
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dirty | 9 | |
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landmark | 9 | |
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history | 8.9 | |
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ancient | 8.6 | |
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business | 8.5 | |
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equipment | 8.5 | |
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art | 8.5 | |
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conveyance | 8.4 | |
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historic | 8.2 | |
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craft | 8.2 | |
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metal | 8 | |
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river | 8 | |
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rope | 8 | |
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machinery | 7.8 | |
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antique | 7.8 | |
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rust | 7.7 | |
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dirt | 7.6 | |
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heavy | 7.6 | |
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wood | 7.5 | |
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ocean | 7.5 | |
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transport | 7.3 | |
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new | 7.3 | |
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paint | 7.2 | |
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aged | 7.2 | |
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color | 7.2 | |
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tower | 7.2 | |
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support | 7.1 | |
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truck | 7 | |
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Google
created on 2019-11-18
Vehicle | 65.6 | |
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Watercraft | 59.1 | |
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Boat | 54.9 | |
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Microsoft
created on 2019-11-18
ship | 99.6 | |
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watercraft | 95.8 | |
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boat | 95.6 | |
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text | 94.6 | |
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old | 75.2 | |
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vehicle | 64 | |
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drawing | 57.5 | |
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black and white | 52.1 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/12890687/276,416,14,19/full/0/native.jpg)
AWS Rekognition
Age | 12-22 |
Gender | Female, 50.4% |
Disgusted | 49.6% |
Sad | 49.8% |
Fear | 49.6% |
Happy | 49.7% |
Surprised | 49.5% |
Confused | 49.5% |
Calm | 49.7% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
paintings art | 47% | |
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streetview architecture | 29.4% | |
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interior objects | 22% | |
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Captions
Microsoft
created on 2019-11-18
a vintage photo of a person | 81.1% | |
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a group of people posing for a photo | 77.4% | |
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a vintage photo of a boat | 50.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/12890687/598,666,88,36/full/0/native.jpg)
GLE
![](https://ids.lib.harvard.edu/ids/iiif/12890687/590,672,104,55/full/0/native.jpg)
GLE
![](https://ids.lib.harvard.edu/ids/iiif/12890687/590,672,104,55/full/0/native.jpg)
GLE