Machine Generated Data
Tags
Amazon
created on 2022-01-22
Automobile | 99 | |
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Transportation | 99 | |
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Car | 99 | |
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Vehicle | 99 | |
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Person | 98 | |
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Human | 98 | |
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Car | 96.3 | |
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Person | 94.1 | |
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Machine | 93.4 | |
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Wheel | 93.4 | |
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Car | 89.4 | |
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Tarmac | 86.3 | |
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Asphalt | 86.3 | |
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Wheel | 85.9 | |
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Sports Car | 85.6 | |
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Wheel | 84.9 | |
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Person | 83.5 | |
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Wheel | 82.9 | |
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Person | 82.5 | |
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Wheel | 71.2 | |
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Nature | 70 | |
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Person | 69.6 | |
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Airfield | 67.4 | |
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Airport | 67.4 | |
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Race Car | 64 | |
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Road | 62.2 | |
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Airplane | 62 | |
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Airliner | 62 | |
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Aircraft | 62 | |
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Car | 60.9 | |
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Space | 60.2 | |
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Outer Space | 60.2 | |
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Universe | 60.2 | |
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Astronomy | 60.2 | |
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Building | 59.2 | |
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Moon | 57.6 | |
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Outdoors | 57.6 | |
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Night | 57.6 | |
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Formula One | 56.9 | |
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Lighting | 55.4 | |
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Clarifai
created on 2023-10-26
street | 99.7 | |
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monochrome | 98.4 | |
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city | 97.5 | |
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car | 97.2 | |
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transportation system | 97 | |
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people | 96.9 | |
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light | 93.5 | |
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urban | 93.1 | |
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gas station | 92.6 | |
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architecture | 92.3 | |
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road | 91.1 | |
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travel | 90.3 | |
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square | 90.3 | |
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building | 88.3 | |
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no person | 84.5 | |
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bridge | 83.5 | |
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vehicle | 79.2 | |
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group | 78.7 | |
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stock | 74.9 | |
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modern | 74.9 | |
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Imagga
created on 2022-01-22
Google
created on 2022-01-22
Wheel | 92.5 | |
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Sky | 91.7 | |
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Car | 91 | |
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Vehicle | 89.6 | |
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Tire | 86.8 | |
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Building | 85.8 | |
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Black-and-white | 83.1 | |
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Motor vehicle | 80.7 | |
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Rectangle | 80.1 | |
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Window | 79.1 | |
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Tints and shades | 77.1 | |
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Automotive lighting | 76.5 | |
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Kit car | 75.9 | |
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Monochrome photography | 75.5 | |
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Monochrome | 74.2 | |
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City | 67.3 | |
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Street light | 66.4 | |
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Road | 64.8 | |
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Room | 64.1 | |
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Stock photography | 62.6 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824260/460,480,7,10/full/0/native.jpg)
AWS Rekognition
Age | 6-14 |
Gender | Female, 74% |
Calm | 48.3% |
Sad | 16.5% |
Happy | 13.8% |
Fear | 11.7% |
Disgusted | 4.4% |
Angry | 3.4% |
Surprised | 1.2% |
Confused | 0.7% |
Feature analysis
Categories
Imagga
cars vehicles | 88.9% | |
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streetview architecture | 4.8% | |
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interior objects | 3% | |
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beaches seaside | 1.3% | |
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text visuals | 1.1% | |
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Captions
Microsoft
created on 2022-01-22
a sign on the side of a road | 64.3% | |
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a sign above a store | 64.2% | |
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a sign on the side of the road | 62.5% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824260/632,386,85,23/full/0/native.jpg)
Magnolia
![](https://ids.lib.harvard.edu/ids/iiif/18824260/361,392,129,19/full/0/native.jpg)
Mobilubrication
![](https://ids.lib.harvard.edu/ids/iiif/18824260/552,434,51,11/full/0/native.jpg)
PROVED
![](https://ids.lib.harvard.edu/ids/iiif/18824260/684,446,15,6/full/0/native.jpg)
Mobil
![](https://ids.lib.harvard.edu/ids/iiif/18824260/590,458,13,6/full/0/native.jpg)
Your
![](https://ids.lib.harvard.edu/ids/iiif/18824260/627,457,18,6/full/0/native.jpg)
Deliver
![](https://ids.lib.harvard.edu/ids/iiif/18824260/614,455,11,11/full/0/native.jpg)
من
![](https://ids.lib.harvard.edu/ids/iiif/18824260/573,448,28,9/full/0/native.jpg)
#CONOMY
![](https://ids.lib.harvard.edu/ids/iiif/18824260/542,449,30,6/full/0/native.jpg)
MOBILGAS
![](https://ids.lib.harvard.edu/ids/iiif/18824260/652,446,12,6/full/0/native.jpg)
Tires
![](https://ids.lib.harvard.edu/ids/iiif/18824260/571,455,73,11/full/0/native.jpg)
Milways Your Co من Deliver
![](https://ids.lib.harvard.edu/ids/iiif/18824260/542,444,72,13/full/0/native.jpg)
MOBILGAS in the #CONOMY ROW
![](https://ids.lib.harvard.edu/ids/iiif/18824260/711,445,24,7/full/0/native.jpg)
Betteries
![](https://ids.lib.harvard.edu/ids/iiif/18824260/603,450,12,6/full/0/native.jpg)
ROW
![](https://ids.lib.harvard.edu/ids/iiif/18824260/921,424,45,16/full/0/native.jpg)
NICE
![](https://ids.lib.harvard.edu/ids/iiif/18824260/560,457,9,6/full/0/native.jpg)
бы
![](https://ids.lib.harvard.edu/ids/iiif/18824260/606,458,7,4/full/0/native.jpg)
Co
![](https://ids.lib.harvard.edu/ids/iiif/18824260/543,457,26,6/full/0/native.jpg)
ARTH бы
![](https://ids.lib.harvard.edu/ids/iiif/18824260/571,444,14,5/full/0/native.jpg)
in the
![](https://ids.lib.harvard.edu/ids/iiif/18824260/571,458,19,5/full/0/native.jpg)
Milways
![](https://ids.lib.harvard.edu/ids/iiif/18824260/543,457,15,6/full/0/native.jpg)
ARTH
![](https://ids.lib.harvard.edu/ids/iiif/18824260/364,389,359,80/full/0/native.jpg)
Mobilubrication
Magnolia
PROVED
Tres
NOBLGAS ECONOY SUN
Your Car C
![](https://ids.lib.harvard.edu/ids/iiif/18824260/364,394,130,21/full/0/native.jpg)
Mobilubrication
![](https://ids.lib.harvard.edu/ids/iiif/18824260/627,389,96,25/full/0/native.jpg)
Magnolia
![](https://ids.lib.harvard.edu/ids/iiif/18824260/551,434,61,9/full/0/native.jpg)
PROVED
![](https://ids.lib.harvard.edu/ids/iiif/18824260/647,447,23,11/full/0/native.jpg)
Tres
![](https://ids.lib.harvard.edu/ids/iiif/18824260/545,451,32,9/full/0/native.jpg)
NOBLGAS
![](https://ids.lib.harvard.edu/ids/iiif/18824260/575,451,31,9/full/0/native.jpg)
ECONOY
![](https://ids.lib.harvard.edu/ids/iiif/18824260/604,452,15,8/full/0/native.jpg)
SUN
![](https://ids.lib.harvard.edu/ids/iiif/18824260/587,460,21,9/full/0/native.jpg)
Your
![](https://ids.lib.harvard.edu/ids/iiif/18824260/607,459,12,10/full/0/native.jpg)
Car
![](https://ids.lib.harvard.edu/ids/iiif/18824260/617,460,6,9/full/0/native.jpg)
C