Machine Generated Data
Tags
Amazon
created on 2023-10-06
Car | 99.4 | |
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Transportation | 99.4 | |
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Vehicle | 99.4 | |
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Machine | 98.9 | |
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Spoke | 98.9 | |
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Car | 98.9 | |
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City | 98.7 | |
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Road | 96.7 | |
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Street | 96.7 | |
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Urban | 96.7 | |
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Awning | 96.4 | |
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Canopy | 96.4 | |
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Wheel | 95.4 | |
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Alloy Wheel | 94.9 | |
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Car Wheel | 94.9 | |
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Tire | 94.9 | |
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Wheel | 94 | |
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Wheel | 92.9 | |
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Neighborhood | 92.9 | |
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Wheel | 91.5 | |
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Indoors | 91.2 | |
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Restaurant | 91.2 | |
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Wheel | 89.4 | |
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Wheel | 84.5 | |
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Person | 81.6 | |
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Wheel | 78.3 | |
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Architecture | 77.4 | |
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Building | 77.4 | |
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Building | 73.9 | |
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Wheel | 61 | |
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Coupe | 57.8 | |
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Sports Car | 57.8 | |
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Antique Car | 57.4 | |
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Model T | 57.4 | |
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Shop | 56.9 | |
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License Plate | 56.7 | |
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Brick | 56.3 | |
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Cafeteria | 56 | |
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Hot Rod | 55.9 | |
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Sedan | 55.7 | |
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Cafe | 55.4 | |
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Diner | 55.2 | |
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Food | 55.2 | |
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Car Dealership | 55 | |
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Clarifai
created on 2018-05-10
transportation system | 98.7 | |
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people | 98.6 | |
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vehicle | 98.5 | |
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monochrome | 95.9 | |
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street | 95.8 | |
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car | 92.5 | |
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group together | 90.9 | |
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adult | 89.8 | |
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one | 87.6 | |
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road | 85.7 | |
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group | 83.6 | |
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two | 82.5 | |
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man | 82.2 | |
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train | 82.1 | |
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gas station | 81.8 | |
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railway | 80.4 | |
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stock | 77.5 | |
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administration | 76.3 | |
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commerce | 72.8 | |
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police | 72.3 | |
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Imagga
created on 2023-10-06
garage | 47.3 | |
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car | 34.8 | |
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building | 29.2 | |
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road | 28 | |
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city | 26.6 | |
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street | 25.8 | |
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architecture | 25 | |
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gas pump | 23.9 | |
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pump | 21.8 | |
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transportation | 21.5 | |
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travel | 21.1 | |
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urban | 21 | |
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house | 18.4 | |
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vehicle | 17.7 | |
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motor vehicle | 16.7 | |
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wheeled vehicle | 15.8 | |
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mechanical device | 15 | |
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truck | 14.9 | |
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transport | 14.6 | |
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shop | 14.3 | |
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traffic | 14.3 | |
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sky | 13.4 | |
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sign | 12 | |
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structure | 11.8 | |
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conveyance | 11.6 | |
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tourism | 11.6 | |
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automobile | 11.5 | |
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light | 11.4 | |
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drive | 11.4 | |
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home | 11.2 | |
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exterior | 11.1 | |
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real estate | 10.7 | |
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center | 10.7 | |
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modern | 10.5 | |
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old | 10.5 | |
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business | 10.3 | |
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town | 10.2 | |
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mechanism | 10.1 | |
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cars | 9.8 | |
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residence | 9.7 | |
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highway | 9.6 | |
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estate | 9.5 | |
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brick | 9.4 | |
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tramway | 9.2 | |
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office | 9 | |
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new | 8.9 | |
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residential | 8.6 | |
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motion | 8.6 | |
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buildings | 8.5 | |
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mercantile establishment | 8.3 | |
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station | 8.3 | |
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historic | 8.3 | |
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tourist | 8.2 | |
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door | 8.1 | |
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night | 8 | |
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warehouse | 7.8 | |
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scene | 7.8 | |
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driving | 7.7 | |
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bus | 7.7 | |
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park | 7.6 | |
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lamp | 7.6 | |
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fire engine | 7.6 | |
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commercial | 7.5 | |
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vacation | 7.4 | |
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window | 7.3 | |
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trees | 7.1 | |
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Google
created on 2018-05-10
car | 98.6 | |
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motor vehicle | 97.8 | |
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vehicle | 91.6 | |
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luxury vehicle | 79.3 | |
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black and white | 77.2 | |
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classic | 77 | |
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vintage car | 75.4 | |
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automotive design | 74.7 | |
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family car | 72.2 | |
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street | 65.5 | |
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automotive exterior | 59.4 | |
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house | 58.8 | |
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compact car | 58.7 | |
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facade | 55.1 | |
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monochrome photography | 50.1 | |
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Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 78.8% | |
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streetview architecture | 9.2% | |
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beaches seaside | 7.4% | |
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paintings art | 1.4% | |
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nature landscape | 1.4% | |
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Captions
Microsoft
created on 2018-05-10
a car parked in front of a building | 87.1% | |
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a black sign with white letters above a storefront on a building | 87% | |
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a black sign with white letters above a storefront | 86.9% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43161361/616,191,128,29/full/0/native.jpg)
ATLANTIC
![](https://ids.lib.harvard.edu/ids/iiif/43161361/613,347,12,12/full/0/native.jpg)
25
![](https://ids.lib.harvard.edu/ids/iiif/43161361/284,117,26,8/full/0/native.jpg)
FARM
![](https://ids.lib.harvard.edu/ids/iiif/43161361/568,208,41,13/full/0/native.jpg)
GREAT
![](https://ids.lib.harvard.edu/ids/iiif/43161361/577,194,24,12/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/43161361/337,77,74,16/full/0/native.jpg)
HARVESTER
![](https://ids.lib.harvard.edu/ids/iiif/43161361/947,47,57,21/full/0/native.jpg)
DENTIST
![](https://ids.lib.harvard.edu/ids/iiif/43161361/241,76,171,19/full/0/native.jpg)
INTERNATIONAL HARVESTER
![](https://ids.lib.harvard.edu/ids/iiif/43161361/727,346,16,12/full/0/native.jpg)
310
![](https://ids.lib.harvard.edu/ids/iiif/43161361/241,79,94,16/full/0/native.jpg)
INTERNATIONAL
![](https://ids.lib.harvard.edu/ids/iiif/43161361/410,338,71,16/full/0/native.jpg)
ALLGYER
![](https://ids.lib.harvard.edu/ids/iiif/43161361/229,393,29,8/full/0/native.jpg)
TORS
![](https://ids.lib.harvard.edu/ids/iiif/43161361/406,352,77,29/full/0/native.jpg)
IMPLEMENT
![](https://ids.lib.harvard.edu/ids/iiif/43161361/194,337,74,24/full/0/native.jpg)
DEERING
![](https://ids.lib.harvard.edu/ids/iiif/43161361/775,186,110,34/full/0/native.jpg)
PACIFIC
![](https://ids.lib.harvard.edu/ids/iiif/43161361/616,186,270,39/full/0/native.jpg)
ATLANTIC & PACIFIC
![](https://ids.lib.harvard.edu/ids/iiif/43161361/455,370,23,11/full/0/native.jpg)
CO.
![](https://ids.lib.harvard.edu/ids/iiif/43161361/726,362,16,11/full/0/native.jpg)
625
![](https://ids.lib.harvard.edu/ids/iiif/43161361/735,193,38,21/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/43161361/653,343,16,11/full/0/native.jpg)
AP
![](https://ids.lib.harvard.edu/ids/iiif/43161361/284,115,80,10/full/0/native.jpg)
FARM MA CHINES
![](https://ids.lib.harvard.edu/ids/iiif/43161361/330,115,34,9/full/0/native.jpg)
CHINES
![](https://ids.lib.harvard.edu/ids/iiif/43161361/702,346,41,12/full/0/native.jpg)
SPARKLE 310
![](https://ids.lib.harvard.edu/ids/iiif/43161361/212,356,32,10/full/0/native.jpg)
EARM
![](https://ids.lib.harvard.edu/ids/iiif/43161361/650,360,24,8/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/43161361/315,117,14,7/full/0/native.jpg)
MA
![](https://ids.lib.harvard.edu/ids/iiif/43161361/234,97,77,17/full/0/native.jpg)
McCORMICK-
![](https://ids.lib.harvard.edu/ids/iiif/43161361/899,201,21,12/full/0/native.jpg)
DO
![](https://ids.lib.harvard.edu/ids/iiif/43161361/702,349,24,8/full/0/native.jpg)
SPARKLE
![](https://ids.lib.harvard.edu/ids/iiif/43161361/585,347,41,12/full/0/native.jpg)
"SETA" 25
![](https://ids.lib.harvard.edu/ids/iiif/43161361/331,93,85,19/full/0/native.jpg)
C-DEERING
![](https://ids.lib.harvard.edu/ids/iiif/43161361/208,373,50,19/full/0/native.jpg)
CAMALL
![](https://ids.lib.harvard.edu/ids/iiif/43161361/897,189,22,9/full/0/native.jpg)
TICK
![](https://ids.lib.harvard.edu/ids/iiif/43161361/701,363,13,5/full/0/native.jpg)
POOK
![](https://ids.lib.harvard.edu/ids/iiif/43161361/701,362,24,14/full/0/native.jpg)
POOK HALL
![](https://ids.lib.harvard.edu/ids/iiif/43161361/585,347,25,12/full/0/native.jpg)
"SETA"
![](https://ids.lib.harvard.edu/ids/iiif/43161361/192,361,71,20/full/0/native.jpg)
BRACHINERY
![](https://ids.lib.harvard.edu/ids/iiif/43161361/703,362,22,14/full/0/native.jpg)
HALL
![](https://ids.lib.harvard.edu/ids/iiif/43161361/243,81,95,18/full/0/native.jpg)
INTERNATIONAL
![](https://ids.lib.harvard.edu/ids/iiif/43161361/339,79,75,17/full/0/native.jpg)
HARVESTER
![](https://ids.lib.harvard.edu/ids/iiif/43161361/231,95,184,26/full/0/native.jpg)
McCORMICK-DEERING
![](https://ids.lib.harvard.edu/ids/iiif/43161361/287,118,26,15/full/0/native.jpg)
ARM
![](https://ids.lib.harvard.edu/ids/iiif/43161361/314,117,52,15/full/0/native.jpg)
MACHINES
![](https://ids.lib.harvard.edu/ids/iiif/43161361/231,394,31,10/full/0/native.jpg)
TORS
![](https://ids.lib.harvard.edu/ids/iiif/43161361/223,79,256,325/full/0/native.jpg)
INTERNATIONAL HARVESTER
McCORMICK-DEERING
ARM MACHINES
ALLGYE
HINERY
MPLEMENT
TORS
![](https://ids.lib.harvard.edu/ids/iiif/43161361/412,340,62,16/full/0/native.jpg)
ALLGYE
![](https://ids.lib.harvard.edu/ids/iiif/43161361/223,367,42,11/full/0/native.jpg)
HINERY
![](https://ids.lib.harvard.edu/ids/iiif/43161361/409,357,70,27/full/0/native.jpg)
MPLEMENT