Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
air conditioner | 36.3 | |
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mechanism | 33.7 | |
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cooling system | 29.4 | |
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device | 26.8 | |
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structure | 23.6 | |
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vehicle | 22.3 | |
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old | 19.5 | |
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car | 19.1 | |
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building | 18.4 | |
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industrial | 18.1 | |
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hut | 16.8 | |
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wheeled vehicle | 16.5 | |
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metal | 15.3 | |
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industry | 14.5 | |
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transportation | 13.4 | |
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shelter | 13.4 | |
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steel | 13.4 | |
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radiator | 13.3 | |
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architecture | 12.7 | |
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power | 12.6 | |
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barrier | 12.5 | |
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transport | 11.9 | |
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factory | 11.7 | |
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freight car | 11.6 | |
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light | 11.4 | |
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station | 11.3 | |
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truck | 11.2 | |
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black | 10.8 | |
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environment | 10.7 | |
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container | 10.5 | |
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work | 10.2 | |
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track | 10.2 | |
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garage | 10.1 | |
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house | 10 | |
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dark | 10 | |
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vintage | 9.9 | |
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urban | 9.6 | |
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grille | 9.4 | |
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grunge | 9.4 | |
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window | 9.3 | |
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street | 9.2 | |
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machine | 9.2 | |
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travel | 9.1 | |
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machinery | 9.1 | |
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empty | 8.6 | |
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construction | 8.6 | |
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business | 8.5 | |
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iron | 8.4 | |
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technology | 8.2 | |
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dirty | 8.1 | |
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road | 8.1 | |
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door | 8 | |
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antique | 7.8 | |
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broken | 7.7 | |
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gas | 7.7 | |
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concrete | 7.6 | |
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sky | 7.6 | |
|
Google
created on 2022-06-04
Building | 93 | |
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Black | 89.6 | |
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Window | 88.7 | |
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Black-and-white | 84.8 | |
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Style | 83.8 | |
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Line | 81.7 | |
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Brick | 78.5 | |
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Facade | 78.1 | |
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Gas | 77.4 | |
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Tints and shades | 75.9 | |
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Rectangle | 75.8 | |
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Monochrome | 75.2 | |
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Font | 75 | |
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Monochrome photography | 74.7 | |
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House | 71.9 | |
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Brickwork | 69.8 | |
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City | 69.3 | |
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Symmetry | 68.5 | |
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Street | 65.1 | |
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Apartment | 64.3 | |
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Microsoft
created on 2022-06-04
black and white | 98.8 | |
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monochrome | 95.8 | |
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street | 93.9 | |
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white | 70.2 | |
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house | 64.6 | |
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window | 52.9 | |
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old | 44.7 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489311/107,63,887,543/full/0/native.jpg)
Train | 95.9% | |
|
Categories
Imagga
cars vehicles | 95.5% | |
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interior objects | 2% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a building | 75.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489311/484,276,134,31/full/0/native.jpg)
TAILORS.
![](https://ids.lib.harvard.edu/ids/iiif/20489311/235,281,131,31/full/0/native.jpg)
CRYSTAL
![](https://ids.lib.harvard.edu/ids/iiif/20489311/384,281,19,26/full/0/native.jpg)
R
![](https://ids.lib.harvard.edu/ids/iiif/20489311/235,276,383,36/full/0/native.jpg)
CRYSTAL R CK TAILORS.
![](https://ids.lib.harvard.edu/ids/iiif/20489311/428,280,41,27/full/0/native.jpg)
CK
![](https://ids.lib.harvard.edu/ids/iiif/20489311/719,261,254,40/full/0/native.jpg)
BEREARD
![](https://ids.lib.harvard.edu/ids/iiif/20489311/719,260,304,41/full/0/native.jpg)
BEREARD V
![](https://ids.lib.harvard.edu/ids/iiif/20489311/1001,261,21,31/full/0/native.jpg)
V
![](https://ids.lib.harvard.edu/ids/iiif/20489311/137,324,48,23/full/0/native.jpg)
CALLERS
![](https://ids.lib.harvard.edu/ids/iiif/20489311/129,299,41,29/full/0/native.jpg)
790396
![](https://ids.lib.harvard.edu/ids/iiif/20489311/128,297,72,32/full/0/native.jpg)
790396 acce
![](https://ids.lib.harvard.edu/ids/iiif/20489311/169,299,28,21/full/0/native.jpg)
acce
![](https://ids.lib.harvard.edu/ids/iiif/20489311/237,261,794,161/full/0/native.jpg)
CRYSTAL RICK TAILORS.
seisis
MADING
BERHARD V
![](https://ids.lib.harvard.edu/ids/iiif/20489311/237,281,133,33/full/0/native.jpg)
CRYSTAL
![](https://ids.lib.harvard.edu/ids/iiif/20489311/384,279,87,32/full/0/native.jpg)
RICK
![](https://ids.lib.harvard.edu/ids/iiif/20489311/487,276,127,33/full/0/native.jpg)
TAILORS
![](https://ids.lib.harvard.edu/ids/iiif/20489311/609,277,14,29/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489311/467,400,30,12/full/0/native.jpg)
seisis
![](https://ids.lib.harvard.edu/ids/iiif/20489311/450,408,48,12/full/0/native.jpg)
MADING
![](https://ids.lib.harvard.edu/ids/iiif/20489311/723,262,254,39/full/0/native.jpg)
BERHARD
![](https://ids.lib.harvard.edu/ids/iiif/20489311/1002,262,29,34/full/0/native.jpg)
V