Machine Generated Data
Tags
Amazon
created on 2022-05-28
Car | 98.2 | |
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Automobile | 98.2 | |
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Vehicle | 98.2 | |
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Transportation | 98.2 | |
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Person | 98.2 | |
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Human | 98.2 | |
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Car | 98.2 | |
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Person | 97.7 | |
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Car | 96.1 | |
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Car | 95.3 | |
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Wheel | 87.2 | |
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Machine | 87.2 | |
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Waterfront | 74.3 | |
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Water | 74.3 | |
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Bird | 72.9 | |
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Animal | 72.9 | |
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Pier | 71.4 | |
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Dock | 71.4 | |
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Port | 71.4 | |
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Building | 66 | |
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Hot Rod | 64.6 | |
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People | 63.6 | |
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Car | 61.3 | |
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Airplane | 60 | |
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Aircraft | 60 | |
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Convertible | 58.5 | |
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Antique Car | 56.3 | |
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Car | 56.3 | |
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Sedan | 55.7 | |
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Clarifai
created on 2023-10-30
vehicle | 99.9 | |
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car | 99.9 | |
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people | 99.7 | |
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transportation system | 99.7 | |
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convertible | 97.6 | |
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adult | 97.6 | |
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group together | 96.7 | |
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many | 96.5 | |
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driver | 89 | |
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wreckage | 87.9 | |
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monochrome | 86.8 | |
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group | 85.2 | |
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one | 83 | |
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war | 81.8 | |
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administration | 77.7 | |
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two | 76.5 | |
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military | 72.2 | |
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woman | 71.6 | |
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engine | 69.4 | |
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retro | 68.4 | |
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Imagga
created on 2022-05-28
car | 57.4 | |
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vehicle | 56.8 | |
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transportation | 38.5 | |
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locomotive | 32.8 | |
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transport | 27.4 | |
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motor vehicle | 24.6 | |
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engine | 24 | |
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wheeled vehicle | 23.7 | |
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wheel | 22.7 | |
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automobile | 22 | |
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steam locomotive | 21.6 | |
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steamroller | 21 | |
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cockpit | 20.2 | |
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vintage | 19 | |
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travel | 19 | |
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old | 18.8 | |
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tank | 18.7 | |
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train | 18.3 | |
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power | 17.6 | |
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steam | 17.4 | |
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auto | 17.2 | |
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drive | 16.1 | |
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railroad | 15.7 | |
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railway | 15.7 | |
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speed | 15.6 | |
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machine | 15.4 | |
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metal | 15.3 | |
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seat | 14.9 | |
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conveyance | 14.6 | |
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road | 14.4 | |
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black | 14.4 | |
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track | 14.4 | |
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racer | 14.4 | |
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device | 14.2 | |
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steel | 14.1 | |
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military vehicle | 14.1 | |
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classic | 13.9 | |
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tracked vehicle | 13.8 | |
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retro | 13.1 | |
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sky | 12.7 | |
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part | 11.1 | |
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motor | 10.6 | |
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windshield | 10.5 | |
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antique | 10.5 | |
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technology | 10.4 | |
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model t | 10.3 | |
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smoke | 10.2 | |
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light | 10 | |
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industrial | 10 | |
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support | 9.9 | |
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outside | 9.4 | |
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industry | 9.4 | |
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historic | 9.2 | |
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screen | 8.9 | |
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armored vehicle | 8.9 | |
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coal | 8.8 | |
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weapon | 8.7 | |
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military | 8.7 | |
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traffic | 8.5 | |
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gun | 8.2 | |
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cannon | 8 | |
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tracks | 7.9 | |
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rail | 7.8 | |
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driver | 7.8 | |
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ride | 7.8 | |
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station | 7.7 | |
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war | 7.7 | |
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horizontal | 7.5 | |
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fast | 7.5 | |
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outdoors | 7.5 | |
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street | 7.4 | |
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sports car | 7.2 | |
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bright | 7.1 | |
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tire | 7 | |
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Google
created on 2022-05-28
Cloud | 94.8 | |
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Car | 94.5 | |
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Vehicle | 92.7 | |
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Motor vehicle | 91.4 | |
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Black | 89.7 | |
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Hood | 88.4 | |
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Automotive design | 87.8 | |
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Black-and-white | 85.6 | |
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Style | 83.9 | |
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Sky | 79.9 | |
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Automotive tire | 79.8 | |
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Automotive lighting | 78.1 | |
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Monochrome | 77.2 | |
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Monochrome photography | 76.2 | |
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Kit car | 75.5 | |
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Personal luxury car | 73.5 | |
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Automotive exterior | 73 | |
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Tire | 72.3 | |
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Classic car | 71.7 | |
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Classic | 71.5 | |
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Color Analysis
Feature analysis
Categories
Imagga
paintings art | 74.4% | |
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cars vehicles | 17.8% | |
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food drinks | 3.3% | |
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nature landscape | 2.8% | |
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Captions
Microsoft
created on 2022-05-28
a vintage photo of a motorcycle | 74.9% | |
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a vintage photo of a person driving a car | 57.7% | |
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a vintage photo of a person riding on the back of a motorcycle | 47.5% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/17825337/183,453,15,8/full/0/native.jpg)
243
![](https://ids.lib.harvard.edu/ids/iiif/17825337/498,267,15,5/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/17825337/196,454,15,7/full/0/native.jpg)
-958
![](https://ids.lib.harvard.edu/ids/iiif/17825337/183,453,28,12/full/0/native.jpg)
243 - -958
![](https://ids.lib.harvard.edu/ids/iiif/17825337/186,462,8,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/17825337/693,202,248,191/full/0/native.jpg)
LEN
M
![](https://ids.lib.harvard.edu/ids/iiif/17825337/694,384,24,10/full/0/native.jpg)
LEN
![](https://ids.lib.harvard.edu/ids/iiif/17825337/930,202,11,10/full/0/native.jpg)
M