Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clarifai
created on 2023-10-26
people | 99.7 | |
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train | 98.7 | |
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transportation system | 98.3 | |
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street | 98 | |
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group together | 97.7 | |
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vehicle | 97.4 | |
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railway | 96.9 | |
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many | 95.9 | |
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group | 95.8 | |
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monochrome | 93.7 | |
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adult | 92.8 | |
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vintage | 90 | |
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wagon | 85.4 | |
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man | 83.9 | |
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locomotive | 82.7 | |
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retro | 82.2 | |
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black and white | 80.7 | |
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war | 80.1 | |
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several | 78.1 | |
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tram | 77.9 | |
|
Imagga
created on 2022-01-23
vehicle | 46.5 | |
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locomotive | 34.5 | |
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wheeled vehicle | 28.3 | |
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steam locomotive | 27.2 | |
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tank | 26.9 | |
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old | 26.5 | |
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machine | 25.7 | |
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transportation | 25.1 | |
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military vehicle | 24.9 | |
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tracked vehicle | 24.6 | |
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half track | 23.2 | |
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transport | 21 | |
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typesetting machine | 20.4 | |
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engine | 19.2 | |
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power | 18.5 | |
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steam | 18.4 | |
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cannon | 17 | |
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building | 17 | |
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railroad | 16.7 | |
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city | 16.6 | |
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train | 16.3 | |
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travel | 16.2 | |
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architecture | 16 | |
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railway | 15.7 | |
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artillery | 15.6 | |
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horse cart | 15.6 | |
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military | 15.4 | |
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war | 15.3 | |
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printer | 15.3 | |
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steel | 14.6 | |
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conveyance | 14.4 | |
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track | 13.7 | |
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army | 13.6 | |
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gun | 13.4 | |
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vintage | 13.2 | |
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history | 12.5 | |
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weapon | 12.5 | |
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carriage | 12.1 | |
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antique | 12 | |
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industry | 11.9 | |
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industrial | 11.8 | |
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cart | 11.5 | |
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wheel | 11.3 | |
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metal | 11.3 | |
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iron | 11.2 | |
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town | 11.1 | |
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wagon | 10.9 | |
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tracks | 9.8 | |
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battle | 9.8 | |
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urban | 9.6 | |
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device | 9.6 | |
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heavy | 9.5 | |
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coal | 9.5 | |
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street | 9.2 | |
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historic | 9.2 | |
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rail | 8.8 | |
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wheels | 8.8 | |
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construction | 8.5 | |
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tourism | 8.2 | |
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machinery | 8 | |
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car | 8 | |
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equipment | 7.9 | |
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armored | 7.9 | |
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armament | 7.7 | |
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world | 7.6 | |
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stone | 7.6 | |
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smoke | 7.4 | |
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classic | 7.4 | |
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danger | 7.3 | |
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road | 7.2 | |
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black | 7.2 | |
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Google
created on 2022-01-23
Wheel | 88 | |
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Building | 87.5 | |
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Window | 86.3 | |
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Motor vehicle | 84.1 | |
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Vehicle | 81.4 | |
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Snapshot | 74.3 | |
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Rectangle | 73 | |
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Monochrome | 66.6 | |
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History | 62.3 | |
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Art | 62.2 | |
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Stock photography | 62.1 | |
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Classic | 61.7 | |
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Machine | 61.5 | |
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Street | 58.6 | |
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Tire | 55.6 | |
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Paper product | 54.8 | |
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Monochrome photography | 51.9 | |
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Color Analysis
Face analysis
![](https://ids.lib.harvard.edu/ids/iiif/20220136/140,1109,95,111/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
cars vehicles | 92.4% | |
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streetview architecture | 7% | |
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Captions
Microsoft
created on 2022-01-23
an old photo of a truck | 86.8% | |
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old photo of a truck | 83.4% | |
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a old photo of a truck | 81.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20220136/430,932,43,23/full/0/native.jpg)
25
![](https://ids.lib.harvard.edu/ids/iiif/20220136/698,1395,216,93/full/0/native.jpg)
HESTER
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1298,818,49,37/full/0/native.jpg)
23
![](https://ids.lib.harvard.edu/ids/iiif/20220136/368,896,95,27/full/0/native.jpg)
J.SUL
![](https://ids.lib.harvard.edu/ids/iiif/20220136/860,806,127,39/full/0/native.jpg)
EUROPEAN
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1473,1652,31,93/full/0/native.jpg)
FLORIDA
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1465,1571,40,174/full/0/native.jpg)
RTPIERCE FLORIDA
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1471,1571,24,63/full/0/native.jpg)
RTPIERCE
![](https://ids.lib.harvard.edu/ids/iiif/20220136/838,742,234,90/full/0/native.jpg)
LSTEINBERG
![](https://ids.lib.harvard.edu/ids/iiif/20220136/478,1376,439,139/full/0/native.jpg)
9-11 Jottuco HESTER
![](https://ids.lib.harvard.edu/ids/iiif/20220136/485,1438,130,77/full/0/native.jpg)
9-11
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1127,1147,35,17/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/20220136/295,1131,303,134/full/0/native.jpg)
COVER
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1731,719,47,15/full/0/native.jpg)
SILM
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1510,1571,13,57/full/0/native.jpg)
UIHIT
![](https://ids.lib.harvard.edu/ids/iiif/20220136/574,1399,104,32/full/0/native.jpg)
Jottuco
![](https://ids.lib.harvard.edu/ids/iiif/20220136/340,717,1447,805/full/0/native.jpg)
SILK
SATIN
STEINBERE
EUROPEAN
23
J.SUL
25
COVER
9 HESTER
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1730,717,57,29/full/0/native.jpg)
SILK
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1727,744,60,25/full/0/native.jpg)
SATIN
![](https://ids.lib.harvard.edu/ids/iiif/20220136/848,752,222,79/full/0/native.jpg)
STEINBERE
![](https://ids.lib.harvard.edu/ids/iiif/20220136/853,810,136,41/full/0/native.jpg)
EUROPEAN
![](https://ids.lib.harvard.edu/ids/iiif/20220136/1301,819,58,42/full/0/native.jpg)
23
![](https://ids.lib.harvard.edu/ids/iiif/20220136/374,899,92,28/full/0/native.jpg)
J.SUL
![](https://ids.lib.harvard.edu/ids/iiif/20220136/437,935,37,26/full/0/native.jpg)
25
![](https://ids.lib.harvard.edu/ids/iiif/20220136/340,1140,219,126/full/0/native.jpg)
COVER
![](https://ids.lib.harvard.edu/ids/iiif/20220136/524,1437,61,84/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/20220136/724,1394,185,101/full/0/native.jpg)
HESTER