Machine Generated Data
Tags
Amazon
created on 2022-01-16
Car | 99.1 | |
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Automobile | 99.1 | |
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Vehicle | 99.1 | |
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Transportation | 99.1 | |
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Wheel | 95.7 | |
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Machine | 95.7 | |
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Tire | 90.7 | |
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Home Decor | 90.4 | |
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Car Wheel | 85.6 | |
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Spoke | 78.9 | |
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Road | 73.3 | |
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Urban | 70 | |
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Alloy Wheel | 66.2 | |
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Wheel | 60.4 | |
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Person | 59.5 | |
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Human | 59.5 | |
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Food | 57.8 | |
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Meal | 57.8 | |
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Building | 55.3 | |
|
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-16
building | 31.7 | |
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center | 28.9 | |
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car | 27.8 | |
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transportation | 26 | |
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architecture | 24.4 | |
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cinema | 24 | |
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city | 23.3 | |
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station | 21.7 | |
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travel | 20.4 | |
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theater | 20.2 | |
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transport | 19.2 | |
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structure | 18.8 | |
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train | 18.6 | |
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limousine | 16.6 | |
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urban | 16.6 | |
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speed | 15.6 | |
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equipment | 15.6 | |
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business | 15.2 | |
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interior | 14.2 | |
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light | 13.4 | |
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technology | 13.4 | |
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vehicle | 13.3 | |
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office | 12.5 | |
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street | 12 | |
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house | 11.7 | |
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machine | 11.5 | |
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traffic | 11.4 | |
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modern | 11.2 | |
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device | 11.2 | |
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motion | 11.1 | |
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railroad | 10.8 | |
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old | 10.4 | |
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fast | 10.3 | |
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construction | 10.3 | |
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motor vehicle | 10.2 | |
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metro | 9.9 | |
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subway | 9.9 | |
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night | 9.8 | |
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steel | 9.7 | |
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perspective | 9.4 | |
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wall | 9.4 | |
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town | 9.3 | |
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inside | 9.2 | |
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window | 9.2 | |
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road | 9 | |
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sign | 9 | |
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wheeled vehicle | 8.9 | |
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railway | 8.8 | |
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public | 8.7 | |
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windows | 8.6 | |
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drive | 8.5 | |
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journey | 8.5 | |
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destination | 8.4 | |
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tunnel | 8.3 | |
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tramway | 8.1 | |
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new | 8.1 | |
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metal | 8 | |
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design | 7.9 | |
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transit | 7.9 | |
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underground | 7.9 | |
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platform | 7.9 | |
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glass | 7.8 | |
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lamp | 7.7 | |
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facade | 7.7 | |
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industry | 7.7 | |
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move | 7.7 | |
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electronic equipment | 7.6 | |
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room | 7.6 | |
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blur | 7.4 | |
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digital | 7.3 | |
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people | 7.2 | |
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black | 7.2 | |
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television | 7.2 | |
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radio | 7.2 | |
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vending machine | 7.2 | |
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passenger | 7 | |
|
Google
created on 2022-01-16
Tire | 94.8 | |
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Building | 94 | |
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Wheel | 93 | |
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Vehicle | 92.6 | |
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Car | 92.6 | |
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Automotive tire | 91 | |
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Automotive lighting | 90.8 | |
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Black | 89.8 | |
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Motor vehicle | 89 | |
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Automotive design | 88.3 | |
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Window | 88.1 | |
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Rectangle | 83.5 | |
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Black-and-white | 81.9 | |
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Automotive exterior | 80.8 | |
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Fender | 80.7 | |
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Vehicle door | 78.8 | |
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Font | 78.7 | |
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Automotive mirror | 77.8 | |
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Tints and shades | 77.3 | |
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Notchback | 75.3 | |
|
Microsoft
created on 2022-01-16
text | 99.4 | |
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black and white | 95.9 | |
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monochrome | 80.6 | |
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white | 80 | |
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street | 76.9 | |
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black | 69.4 | |
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store | 37.7 | |
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Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 46.5% | |
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interior objects | 33.4% | |
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text visuals | 18.1% | |
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Captions
Microsoft
created on 2022-01-16
a store inside of a building | 92.1% | |
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a portrait of a store window | 90% | |
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a close up of a store window | 88.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18827108/247,454,48,16/full/0/native.jpg)
TO-DAY
![](https://ids.lib.harvard.edu/ids/iiif/18827108/172,485,39,12/full/0/native.jpg)
LAUNDRY
![](https://ids.lib.harvard.edu/ids/iiif/18827108/786,346,89,22/full/0/native.jpg)
RADIO
![](https://ids.lib.harvard.edu/ids/iiif/18827108/445,157,40,149/full/0/native.jpg)
PIX
![](https://ids.lib.harvard.edu/ids/iiif/18827108/681,506,40,17/full/0/native.jpg)
FLASH
![](https://ids.lib.harvard.edu/ids/iiif/18827108/26,434,38,14/full/0/native.jpg)
CLEANING
![](https://ids.lib.harvard.edu/ids/iiif/18827108/307,453,49,20/full/0/native.jpg)
MON.TUES
![](https://ids.lib.harvard.edu/ids/iiif/18827108/672,494,58,18/full/0/native.jpg)
CHEROKEE
![](https://ids.lib.harvard.edu/ids/iiif/18827108/186,498,28,9/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18827108/37,451,15,9/full/0/native.jpg)
TIONS
![](https://ids.lib.harvard.edu/ids/iiif/18827108/783,363,97,30/full/0/native.jpg)
SALES-SERVICE.
![](https://ids.lib.harvard.edu/ids/iiif/18827108/173,498,41,9/full/0/native.jpg)
GUD -
![](https://ids.lib.harvard.edu/ids/iiif/18827108/698,519,29,16/full/0/native.jpg)
CARCON -
![](https://ids.lib.harvard.edu/ids/iiif/18827108/30,451,22,9/full/0/native.jpg)
T TIONS
![](https://ids.lib.harvard.edu/ids/iiif/18827108/783,319,89,32/full/0/native.jpg)
LINCELN
![](https://ids.lib.harvard.edu/ids/iiif/18827108/699,519,27,11/full/0/native.jpg)
CARCON
![](https://ids.lib.harvard.edu/ids/iiif/18827108/173,500,11,6/full/0/native.jpg)
GUD
![](https://ids.lib.harvard.edu/ids/iiif/18827108/987,314,18,47/full/0/native.jpg)
IS
![](https://ids.lib.harvard.edu/ids/iiif/18827108/242,540,25,20/full/0/native.jpg)
ARRING
![](https://ids.lib.harvard.edu/ids/iiif/18827108/30,452,4,6/full/0/native.jpg)
T
![](https://ids.lib.harvard.edu/ids/iiif/18827108/240,530,61,30/full/0/native.jpg)
ARRING COORBIOS
![](https://ids.lib.harvard.edu/ids/iiif/18827108/984,474,22,198/full/0/native.jpg)
KODAKSLA
![](https://ids.lib.harvard.edu/ids/iiif/18827108/314,512,9,7/full/0/native.jpg)
OR
![](https://ids.lib.harvard.edu/ids/iiif/18827108/263,530,35,23/full/0/native.jpg)
COORBIOS
![](https://ids.lib.harvard.edu/ids/iiif/18827108/167,507,25,7/full/0/native.jpg)
Seam
![](https://ids.lib.harvard.edu/ids/iiif/18827108/308,540,41,22/full/0/native.jpg)
Fallin's
![](https://ids.lib.harvard.edu/ids/iiif/18827108/311,521,16,9/full/0/native.jpg)
any
![](https://ids.lib.harvard.edu/ids/iiif/18827108/171,156,838,483/full/0/native.jpg)
LINCOLN
RADIO
ALES SEPVICE X
TO-DAY MONTUES
LAUNDRY
TO-DAY
LCHEROKEE
FLASH
G CAO
RING DOORENS
YT37A2- A
PIX
![](https://ids.lib.harvard.edu/ids/iiif/18827108/781,320,99,35/full/0/native.jpg)
LINCOLN
![](https://ids.lib.harvard.edu/ids/iiif/18827108/796,346,86,26/full/0/native.jpg)
RADIO
![](https://ids.lib.harvard.edu/ids/iiif/18827108/790,371,39,28/full/0/native.jpg)
ALES
![](https://ids.lib.harvard.edu/ids/iiif/18827108/824,366,58,29/full/0/native.jpg)
SEPVICE
![](https://ids.lib.harvard.edu/ids/iiif/18827108/881,362,35,27/full/0/native.jpg)
X
![](https://ids.lib.harvard.edu/ids/iiif/18827108/248,453,52,24/full/0/native.jpg)
TO-DAY
![](https://ids.lib.harvard.edu/ids/iiif/18827108/306,454,56,25/full/0/native.jpg)
MONTUES
![](https://ids.lib.harvard.edu/ids/iiif/18827108/171,483,49,24/full/0/native.jpg)
LAUNDRY
![](https://ids.lib.harvard.edu/ids/iiif/18827108/674,495,60,21/full/0/native.jpg)
LCHEROKEE
![](https://ids.lib.harvard.edu/ids/iiif/18827108/678,506,51,22/full/0/native.jpg)
FLASH
![](https://ids.lib.harvard.edu/ids/iiif/18827108/681,523,15,15/full/0/native.jpg)
G
![](https://ids.lib.harvard.edu/ids/iiif/18827108/701,520,28,16/full/0/native.jpg)
CAO
![](https://ids.lib.harvard.edu/ids/iiif/18827108/249,540,25,22/full/0/native.jpg)
RING
![](https://ids.lib.harvard.edu/ids/iiif/18827108/267,530,36,26/full/0/native.jpg)
DOORENS
![](https://ids.lib.harvard.edu/ids/iiif/18827108/985,477,25,114/full/0/native.jpg)
YT37A2-
![](https://ids.lib.harvard.edu/ids/iiif/18827108/987,623,23,16/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18827108/446,156,40,146/full/0/native.jpg)
PIX