Machine Generated Data
Tags
Amazon
created on 2022-06-04
Car | 99.7 | |
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Automobile | 99.7 | |
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Vehicle | 99.7 | |
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Transportation | 99.7 | |
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Car | 99.2 | |
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Bus | 98.4 | |
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Metropolis | 91.9 | |
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City | 91.9 | |
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Town | 91.9 | |
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Building | 91.9 | |
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Urban | 91.9 | |
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Wheel | 90.4 | |
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Machine | 90.4 | |
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Person | 85.3 | |
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Human | 85.3 | |
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Road | 81.8 | |
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Sedan | 79.4 | |
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Car | 76.7 | |
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Car | 76 | |
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Person | 68.7 | |
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Sports Car | 68.6 | |
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Tire | 68.2 | |
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Freeway | 65.8 | |
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Car | 65.7 | |
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Person | 63.4 | |
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Traffic Jam | 63.3 | |
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Car Wheel | 60.7 | |
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Coupe | 59.9 | |
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Factory | 59.4 | |
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Spoke | 58.4 | |
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Alloy Wheel | 56.5 | |
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Tarmac | 56.3 | |
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Asphalt | 56.3 | |
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Shelf | 55 | |
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Imagga
created on 2022-06-04
car | 34.2 | |
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city | 32.4 | |
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travel | 25.4 | |
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urban | 25.3 | |
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transportation | 21.5 | |
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architecture | 21.2 | |
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boat | 21.2 | |
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wheeled vehicle | 20.3 | |
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water | 20 | |
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sky | 19.1 | |
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building | 19.1 | |
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tourism | 18.2 | |
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vehicle | 17.9 | |
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street | 17.5 | |
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transport | 16.4 | |
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structure | 16.4 | |
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industry | 16.2 | |
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town | 15.8 | |
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motor vehicle | 15.3 | |
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boats | 14.6 | |
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industrial | 14.5 | |
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traffic | 14.2 | |
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port | 13.5 | |
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harbor | 13.5 | |
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ship | 13.4 | |
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sea | 13.3 | |
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steel | 13.3 | |
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cityscape | 13.2 | |
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cars | 12.7 | |
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conveyance | 12.7 | |
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vacation | 12.3 | |
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marina | 11.9 | |
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road | 11.7 | |
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river | 11.6 | |
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business | 11.5 | |
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bridge | 10.7 | |
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night | 10.7 | |
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factory | 10.6 | |
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vessel | 10.6 | |
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train | 10.4 | |
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tourist | 10.2 | |
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dock | 9.7 | |
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heavy | 9.5 | |
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skyline | 9.5 | |
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buildings | 9.5 | |
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passenger | 9.4 | |
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station | 9.3 | |
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ocean | 9.1 | |
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line | 9.1 | |
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technology | 8.9 | |
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metal | 8.9 | |
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center | 8.8 | |
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pollution | 8.7 | |
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work | 8.6 | |
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old | 8.4 | |
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speed | 8.2 | |
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production | 7.8 | |
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public | 7.8 | |
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cab | 7.8 | |
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tramway | 7.7 | |
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modern | 7.7 | |
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construction | 7.7 | |
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automobile | 7.7 | |
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marine | 7.6 | |
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estate | 7.6 | |
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drive | 7.6 | |
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landscape | 7.4 | |
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device | 7.4 | |
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new | 7.3 | |
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tower | 7.2 | |
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pipe | 7 | |
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Google
created on 2022-06-04
Tire | 95.8 | |
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Wheel | 94.3 | |
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Car | 94.1 | |
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Vehicle | 93.7 | |
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Motor vehicle | 92.5 | |
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Building | 90.1 | |
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Automotive lighting | 85.8 | |
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Window | 84.4 | |
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Style | 83.8 | |
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Black-and-white | 83.2 | |
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Automotive design | 81.7 | |
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Automotive exterior | 78.9 | |
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Font | 77.6 | |
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Road | 76.9 | |
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Monochrome photography | 74.4 | |
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Snapshot | 74.3 | |
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Monochrome | 74.1 | |
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Kit car | 73.7 | |
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City | 73.3 | |
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Classic car | 72.4 | |
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Microsoft
created on 2022-06-04
text | 97.3 | |
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vehicle | 91.8 | |
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black and white | 89.2 | |
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car | 89.2 | |
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land vehicle | 85.7 | |
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wheel | 57.4 | |
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vintage | 26.4 | |
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several | 10.2 | |
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Color Analysis
Feature analysis
Categories
Imagga
paintings art | 65.7% | |
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cars vehicles | 17% | |
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streetview architecture | 12.6% | |
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people portraits | 1.3% | |
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food drinks | 1.1% | |
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Captions
Microsoft
created on 2022-06-04
a vintage photo of a city | 84% | |
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a vintage photo of a street | 82.2% | |
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a vintage photo of a city street | 81% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489084/101,330,160,65/full/0/native.jpg)
FURS
![](https://ids.lib.harvard.edu/ids/iiif/20489084/160,394,47,21/full/0/native.jpg)
392
![](https://ids.lib.harvard.edu/ids/iiif/20489084/51,259,108,101/full/0/native.jpg)
Fred
![](https://ids.lib.harvard.edu/ids/iiif/20489084/140,215,169,126/full/0/native.jpg)
G.Kakas
![](https://ids.lib.harvard.edu/ids/iiif/20489084/697,308,22,12/full/0/native.jpg)
6263
![](https://ids.lib.harvard.edu/ids/iiif/20489084/37,215,280,145/full/0/native.jpg)
Fred G.Kakas E.
![](https://ids.lib.harvard.edu/ids/iiif/20489084/228,294,9,8/full/0/native.jpg)
E.
![](https://ids.lib.harvard.edu/ids/iiif/20489084/972,147,30,11/full/0/native.jpg)
MESSER
![](https://ids.lib.harvard.edu/ids/iiif/20489084/927,700,59,13/full/0/native.jpg)
25052
![](https://ids.lib.harvard.edu/ids/iiif/20489084/953,146,49,12/full/0/native.jpg)
MAX MESSER
![](https://ids.lib.harvard.edu/ids/iiif/20489084/755,272,28,7/full/0/native.jpg)
YAMAICA
![](https://ids.lib.harvard.edu/ids/iiif/20489084/1,113,39,13/full/0/native.jpg)
ORRIS
![](https://ids.lib.harvard.edu/ids/iiif/20489084/954,146,16,9/full/0/native.jpg)
MAX
![](https://ids.lib.harvard.edu/ids/iiif/20489084/956,233,23,6/full/0/native.jpg)
SINGS
![](https://ids.lib.harvard.edu/ids/iiif/20489084/0,112,1008,509/full/0/native.jpg)
OFRIS
Fred G Kakas
FURS
392
A1942
SELL
PAX MESSER
![](https://ids.lib.harvard.edu/ids/iiif/20489084/0,112,45,20/full/0/native.jpg)
OFRIS
![](https://ids.lib.harvard.edu/ids/iiif/20489084/58,259,99,77/full/0/native.jpg)
Fred
![](https://ids.lib.harvard.edu/ids/iiif/20489084/147,251,51,68/full/0/native.jpg)
G
![](https://ids.lib.harvard.edu/ids/iiif/20489084/183,231,122,82/full/0/native.jpg)
Kakas
![](https://ids.lib.harvard.edu/ids/iiif/20489084/102,331,163,65/full/0/native.jpg)
FURS
![](https://ids.lib.harvard.edu/ids/iiif/20489084/163,396,48,23/full/0/native.jpg)
392
![](https://ids.lib.harvard.edu/ids/iiif/20489084/469,603,30,18/full/0/native.jpg)
A1942
![](https://ids.lib.harvard.edu/ids/iiif/20489084/609,142,29,17/full/0/native.jpg)
SELL
![](https://ids.lib.harvard.edu/ids/iiif/20489084/954,146,22,16/full/0/native.jpg)
PAX
![](https://ids.lib.harvard.edu/ids/iiif/20489084/972,147,36,17/full/0/native.jpg)
MESSER