Machine Generated Data
Tags
Amazon
created on 2023-10-06
City | 96.5 | |
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Road | 96.5 | |
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Street | 96.5 | |
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Urban | 96.5 | |
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Architecture | 95.6 | |
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Building | 95.6 | |
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Outdoors | 95.6 | |
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Shelter | 95.6 | |
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Person | 94.6 | |
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Nature | 86.2 | |
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Countryside | 85.8 | |
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Hut | 85.8 | |
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Rural | 85.8 | |
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Machine | 85 | |
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Wheel | 85 | |
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Wheel | 79.9 | |
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Wheel | 78.1 | |
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Gas Pump | 76.9 | |
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Pump | 76.9 | |
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Spoke | 76.8 | |
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Gas Pump | 69.8 | |
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Car | 65.6 | |
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Transportation | 65.6 | |
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Vehicle | 65.6 | |
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House | 63.3 | |
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Housing | 63.3 | |
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Porch | 63.3 | |
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Bus Stop | 57.6 | |
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Sign | 57.5 | |
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Symbol | 57.5 | |
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Indoors | 57.4 | |
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Restaurant | 57.4 | |
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Neighborhood | 57.2 | |
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Path | 57.1 | |
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Railway | 56.7 | |
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Sidewalk | 56.2 | |
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Bench | 56.1 | |
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Furniture | 56.1 | |
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Terminal | 56 | |
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Train | 56 | |
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Train Station | 56 | |
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Shack | 55.9 | |
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Cafeteria | 55.8 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-06
building | 42.9 | |
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architecture | 31.5 | |
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street | 31.3 | |
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old | 26.5 | |
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house | 25.9 | |
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city | 25.8 | |
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structure | 25.2 | |
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shop | 24.8 | |
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door | 23.2 | |
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town | 22.3 | |
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window | 21.8 | |
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gas pump | 21.5 | |
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urban | 21 | |
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wall | 20.9 | |
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brick | 20 | |
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graffito | 19 | |
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travel | 18.3 | |
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pump | 18 | |
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mercantile establishment | 17.8 | |
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home | 17.6 | |
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exterior | 16.6 | |
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decoration | 14.7 | |
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sky | 14.7 | |
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residential | 14.4 | |
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construction | 13.7 | |
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stone | 13.7 | |
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road | 13.6 | |
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tourism | 13.2 | |
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mechanical device | 13.1 | |
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lamp | 12.4 | |
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barbershop | 12.1 | |
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sign | 12 | |
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place of business | 11.8 | |
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village | 11.7 | |
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facade | 11.3 | |
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buildings | 10.4 | |
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light | 10 | |
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wood | 10 | |
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wheeled vehicle | 9.9 | |
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bakery | 9.7 | |
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ancient | 9.5 | |
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glass | 9.3 | |
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mechanism | 9.2 | |
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vintage | 9.1 | |
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outdoors | 9 | |
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station | 8.9 | |
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snow | 8.9 | |
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wooden | 8.8 | |
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scene | 8.7 | |
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sidewalk | 8.6 | |
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car | 8.6 | |
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cinema | 8.3 | |
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historic | 8.3 | |
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tourist | 8.2 | |
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vehicle | 8.1 | |
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transportation | 8.1 | |
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metal | 8 | |
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lantern | 7.8 | |
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empty | 7.7 | |
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culture | 7.7 | |
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roof | 7.6 | |
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classic | 7.4 | |
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retro | 7.4 | |
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aged | 7.2 | |
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detail | 7.2 | |
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dirty | 7.2 | |
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history | 7.2 | |
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billboard | 7.1 | |
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gate | 7 | |
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Google
created on 2018-05-11
transport | 92.4 | |
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town | 86.5 | |
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black and white | 85.7 | |
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railroad car | 79.5 | |
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rolling stock | 77.3 | |
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track | 77.2 | |
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vehicle | 70.5 | |
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car | 69.6 | |
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train | 69.2 | |
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residential area | 67.3 | |
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house | 67 | |
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monochrome | 64.2 | |
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monochrome photography | 61.7 | |
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history | 58.1 | |
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street | 56.6 | |
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facade | 52.9 | |
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rail transport | 52.2 | |
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Color Analysis
Face analysis
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/43159685/798,158,28,28/full/0/native.jpg)
Microsoft Cognitive Services
Age | 72 |
Gender | Female |
Feature analysis
Categories
Imagga
streetview architecture | 58.5% | |
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cars vehicles | 22.6% | |
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paintings art | 10.9% | |
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nature landscape | 6.6% | |
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Captions
Microsoft
created on 2018-05-11
a sign on the side of a building | 96.3% | |
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a store sign on the side of a building | 96.2% | |
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a store sign on the side of a road | 96.1% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43159685/436,115,56,38/full/0/native.jpg)
RED
![](https://ids.lib.harvard.edu/ids/iiif/43159685/436,115,146,51/full/0/native.jpg)
RED HOUSE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/497,124,84,40/full/0/native.jpg)
HOUSE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/447,151,59,34/full/0/native.jpg)
TAXI
![](https://ids.lib.harvard.edu/ids/iiif/43159685/447,151,123,43/full/0/native.jpg)
TAXI LINE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/511,159,59,33/full/0/native.jpg)
LINE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/598,71,58,27/full/0/native.jpg)
LITTLE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/387,53,113,51/full/0/native.jpg)
GASOLINE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/533,23,116,46/full/0/native.jpg)
TIRES
![](https://ids.lib.harvard.edu/ids/iiif/43159685/647,450,47,18/full/0/native.jpg)
Tiolene
![](https://ids.lib.harvard.edu/ids/iiif/43159685/528,65,31,16/full/0/native.jpg)
MOST
![](https://ids.lib.harvard.edu/ids/iiif/43159685/683,73,55,29/full/0/native.jpg)
Ford
![](https://ids.lib.harvard.edu/ids/iiif/43159685/684,101,52,23/full/0/native.jpg)
PARTS
![](https://ids.lib.harvard.edu/ids/iiif/43159685/540,65,116,45/full/0/native.jpg)
D.F. LITTLE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/658,428,22,7/full/0/native.jpg)
SEALES
![](https://ids.lib.harvard.edu/ids/iiif/43159685/540,77,55,33/full/0/native.jpg)
D.F.
![](https://ids.lib.harvard.edu/ids/iiif/43159685/680,51,63,29/full/0/native.jpg)
GENUINE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/381,8,129,67/full/0/native.jpg)
Puroly
![](https://ids.lib.harvard.edu/ids/iiif/43159685/528,45,135,41/full/0/native.jpg)
MOST MILES por DOLLAR
![](https://ids.lib.harvard.edu/ids/iiif/43159685/534,2,118,52/full/0/native.jpg)
fireslow
![](https://ids.lib.harvard.edu/ids/iiif/43159685/556,45,106,36/full/0/native.jpg)
MILES por DOLLAR
![](https://ids.lib.harvard.edu/ids/iiif/43159685/804,170,13,7/full/0/native.jpg)
R
![](https://ids.lib.harvard.edu/ids/iiif/43159685/457,89,29,13/full/0/native.jpg)
mass
![](https://ids.lib.harvard.edu/ids/iiif/43159685/659,439,22,8/full/0/native.jpg)
Predio
![](https://ids.lib.harvard.edu/ids/iiif/43159685/439,117,145,80/full/0/native.jpg)
RED HOUSE
TAXI LINE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/439,117,56,40/full/0/native.jpg)
RED
![](https://ids.lib.harvard.edu/ids/iiif/43159685/499,126,85,43/full/0/native.jpg)
HOUSE
![](https://ids.lib.harvard.edu/ids/iiif/43159685/450,153,60,38/full/0/native.jpg)
TAXI
![](https://ids.lib.harvard.edu/ids/iiif/43159685/513,161,61,36/full/0/native.jpg)
LINE