Machine Generated Data
Tags
Amazon
created on 2022-01-09
Road | 99.4 | |
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Car | 96.4 | |
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Automobile | 96.4 | |
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Vehicle | 96.4 | |
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Transportation | 96.4 | |
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Car | 95.3 | |
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Urban | 94.7 | |
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City | 94.4 | |
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Town | 94.4 | |
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Building | 94.4 | |
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Downtown | 93 | |
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Nature | 92.8 | |
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Intersection | 90.1 | |
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Metropolis | 88.6 | |
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Tarmac | 88 | |
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Asphalt | 88 | |
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Car | 86.6 | |
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Car | 86.4 | |
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Car | 85 | |
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Weather | 76.3 | |
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Car | 74.7 | |
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Street | 74.2 | |
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Outdoors | 71.7 | |
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Architecture | 68.8 | |
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Freeway | 67.4 | |
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Neighborhood | 67 | |
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Pedestrian | 57.6 | |
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Spire | 55.1 | |
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Tower | 55.1 | |
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Steeple | 55.1 | |
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Clarifai
created on 2023-10-25
monochrome | 99.9 | |
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street | 99.9 | |
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black and white | 98.5 | |
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city | 97.9 | |
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people | 96.6 | |
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travel | 95.2 | |
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road | 93.8 | |
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architecture | 92.5 | |
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many | 91.2 | |
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square | 91 | |
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building | 88.2 | |
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town | 87.8 | |
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sky | 87.6 | |
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urban | 86.5 | |
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outdoors | 85.7 | |
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no person | 84.4 | |
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transportation system | 84 | |
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stock | 80 | |
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downtown | 79.9 | |
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group | 79.8 | |
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Imagga
created on 2022-01-09
city | 50 | |
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architecture | 46.6 | |
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billboard | 41 | |
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building | 37.9 | |
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structure | 35 | |
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urban | 32.4 | |
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signboard | 31.9 | |
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travel | 26.1 | |
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street | 25.8 | |
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sky | 25.1 | |
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river | 23.2 | |
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buildings | 21.8 | |
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night | 21.4 | |
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cityscape | 20.9 | |
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bridge | 20.7 | |
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town | 20.4 | |
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tower | 18.8 | |
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tourism | 18.2 | |
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road | 18.1 | |
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landmark | 18.1 | |
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office | 16.3 | |
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water | 14.7 | |
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skyline | 14.3 | |
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landscape | 14.2 | |
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light | 14.1 | |
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construction | 13.7 | |
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downtown | 13.5 | |
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waterfront | 12.4 | |
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center | 12.4 | |
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famous | 12.1 | |
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old | 11.9 | |
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clouds | 11.9 | |
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university | 11.8 | |
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skyscraper | 11.7 | |
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traffic | 11.4 | |
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expressway | 11.2 | |
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history | 10.7 | |
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panorama | 10.5 | |
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house | 10.5 | |
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capital | 10.5 | |
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scene | 10.4 | |
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car | 10.4 | |
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supermarket | 10.3 | |
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lights | 10.2 | |
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church | 10.2 | |
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tourist | 10.1 | |
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cars | 9.8 | |
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reflection | 9.8 | |
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palace | 9.7 | |
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facade | 9.6 | |
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monument | 9.4 | |
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exterior | 9.2 | |
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modern | 9.1 | |
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england | 8.6 | |
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wall | 8.6 | |
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culture | 8.6 | |
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grocery store | 8.3 | |
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trees | 8 | |
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business | 7.9 | |
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skyscrapers | 7.8 | |
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cathedral | 7.7 | |
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winter | 7.7 | |
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commercial | 7.5 | |
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tramway | 7.4 | |
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square | 7.3 | |
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color | 7.2 | |
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ship | 7.2 | |
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scenic | 7 | |
|
Google
created on 2022-01-09
Photograph | 94.2 | |
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Building | 94 | |
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Sky | 93.3 | |
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White | 92.2 | |
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Cloud | 91.2 | |
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Black | 89.9 | |
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Black-and-white | 88.6 | |
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Architecture | 85.5 | |
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Rectangle | 85.1 | |
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Style | 84.2 | |
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Vehicle | 83.1 | |
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Line | 82.2 | |
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Monochrome | 80.5 | |
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Car | 79.9 | |
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Automotive lighting | 79.6 | |
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Monochrome photography | 79 | |
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Asphalt | 78.9 | |
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Tints and shades | 77.4 | |
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Road surface | 77.3 | |
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City | 77 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18811207/716,605,29,16/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18811207/470,614,95,53/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18811207/662,604,21,12/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18811207/828,596,167,163/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18811207/807,598,44,43/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18811207/423,624,56,38/full/0/native.jpg)
Car | 96.4% | |
|
Categories
Imagga
cars vehicles | 23.9% | |
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beaches seaside | 21.2% | |
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interior objects | 18.1% | |
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streetview architecture | 14.9% | |
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nature landscape | 11.5% | |
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text visuals | 5.8% | |
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food drinks | 2.4% | |
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events parties | 1.2% | |
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Captions
Microsoft
created on 2022-01-09
a vintage photo of a city street | 91.4% | |
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a vintage photo of a city | 91.3% | |
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a vintage photo of a store | 89.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18811207/222,359,94,35/full/0/native.jpg)
ARCADE
![](https://ids.lib.harvard.edu/ids/iiif/18811207/213,493,31,13/full/0/native.jpg)
SHOP
![](https://ids.lib.harvard.edu/ids/iiif/18811207/583,765,161,31/full/0/native.jpg)
43614
![](https://ids.lib.harvard.edu/ids/iiif/18811207/964,400,25,22/full/0/native.jpg)
TR
![](https://ids.lib.harvard.edu/ids/iiif/18811207/974,387,14,10/full/0/native.jpg)
Ro
![](https://ids.lib.harvard.edu/ids/iiif/18811207/263,542,15,11/full/0/native.jpg)
IT'S
![](https://ids.lib.harvard.edu/ids/iiif/18811207/178,493,66,15/full/0/native.jpg)
MEN'S SHOP
![](https://ids.lib.harvard.edu/ids/iiif/18811207/903,447,72,41/full/0/native.jpg)
Frem
![](https://ids.lib.harvard.edu/ids/iiif/18811207/178,495,33,13/full/0/native.jpg)
MEN'S
![](https://ids.lib.harvard.edu/ids/iiif/18811207/263,537,84,20/full/0/native.jpg)
IT'S COOLINSIDE!
![](https://ids.lib.harvard.edu/ids/iiif/18811207/207,661,5,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18811207/222,389,105,28/full/0/native.jpg)
THEATRE
![](https://ids.lib.harvard.edu/ids/iiif/18811207/280,540,66,14/full/0/native.jpg)
COOLINSIDE!
![](https://ids.lib.harvard.edu/ids/iiif/18811207/990,440,6,14/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/18811207/102,563,26,7/full/0/native.jpg)
SAIDES
![](https://ids.lib.harvard.edu/ids/iiif/18811207/562,532,19,9/full/0/native.jpg)
ROEB
![](https://ids.lib.harvard.edu/ids/iiif/18811207/976,424,12,10/full/0/native.jpg)
Al
![](https://ids.lib.harvard.edu/ids/iiif/18811207/250,488,93,33/full/0/native.jpg)
ARCADEE
![](https://ids.lib.harvard.edu/ids/iiif/18811207/53,562,76,9/full/0/native.jpg)
CLORSMENT SAIDES
![](https://ids.lib.harvard.edu/ids/iiif/18811207/931,542,50,23/full/0/native.jpg)
Inemaes
![](https://ids.lib.harvard.edu/ids/iiif/18811207/213,479,22,11/full/0/native.jpg)
OWN
![](https://ids.lib.harvard.edu/ids/iiif/18811207/114,570,14,6/full/0/native.jpg)
una
![](https://ids.lib.harvard.edu/ids/iiif/18811207/182,476,55,19/full/0/native.jpg)
SIDHEY OWN
![](https://ids.lib.harvard.edu/ids/iiif/18811207/182,478,29,17/full/0/native.jpg)
SIDHEY
![](https://ids.lib.harvard.edu/ids/iiif/18811207/76,570,52,7/full/0/native.jpg)
BOWLE NEWS una
![](https://ids.lib.harvard.edu/ids/iiif/18811207/76,571,17,6/full/0/native.jpg)
BOWLE
![](https://ids.lib.harvard.edu/ids/iiif/18811207/568,444,18,88/full/0/native.jpg)
SEAL
![](https://ids.lib.harvard.edu/ids/iiif/18811207/204,508,19,18/full/0/native.jpg)
لا
![](https://ids.lib.harvard.edu/ids/iiif/18811207/94,570,17,6/full/0/native.jpg)
NEWS
![](https://ids.lib.harvard.edu/ids/iiif/18811207/203,503,37,25/full/0/native.jpg)
لا TEXAS
![](https://ids.lib.harvard.edu/ids/iiif/18811207/219,506,19,14/full/0/native.jpg)
TEXAS
![](https://ids.lib.harvard.edu/ids/iiif/18811207/53,562,47,9/full/0/native.jpg)
CLORSMENT
![](https://ids.lib.harvard.edu/ids/iiif/18811207/209,656,10,3/full/0/native.jpg)
RELE
![](https://ids.lib.harvard.edu/ids/iiif/18811207/178,357,789,442/full/0/native.jpg)
ARCADE
THENTRE
MEN'S SHOP)
freme
IT'S COOLINSIDE!
4 3614
SEARS-
![](https://ids.lib.harvard.edu/ids/iiif/18811207/224,357,111,42/full/0/native.jpg)
ARCADE
![](https://ids.lib.harvard.edu/ids/iiif/18811207/223,391,108,30/full/0/native.jpg)
THENTRE
![](https://ids.lib.harvard.edu/ids/iiif/18811207/178,495,40,21/full/0/native.jpg)
MEN'S
![](https://ids.lib.harvard.edu/ids/iiif/18811207/214,491,38,22/full/0/native.jpg)
SHOP)
![](https://ids.lib.harvard.edu/ids/iiif/18811207/907,461,59,33/full/0/native.jpg)
freme
![](https://ids.lib.harvard.edu/ids/iiif/18811207/266,545,18,12/full/0/native.jpg)
IT'S
![](https://ids.lib.harvard.edu/ids/iiif/18811207/283,541,67,18/full/0/native.jpg)
COOLINSIDE!
![](https://ids.lib.harvard.edu/ids/iiif/18811207/587,768,32,30/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/18811207/616,765,140,34/full/0/native.jpg)
3614
![](https://ids.lib.harvard.edu/ids/iiif/18811207/566,436,24,122/full/0/native.jpg)
SEARS-