Machine Generated Data
Tags
Amazon
created on 2022-06-04
Nature | 96.8 | |
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Tarmac | 95.6 | |
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Asphalt | 95.6 | |
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Outdoors | 93.8 | |
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Railway | 88.2 | |
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Train Track | 88.2 | |
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Rail | 88.2 | |
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Transportation | 88.2 | |
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Weather | 86.3 | |
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Road | 85.2 | |
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Neighborhood | 77.1 | |
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Building | 77.1 | |
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Urban | 77.1 | |
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Shelter | 66.3 | |
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Rural | 66.3 | |
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Countryside | 66.3 | |
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Intersection | 64.5 | |
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Vehicle | 63.7 | |
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Tree | 63.3 | |
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Plant | 63.3 | |
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Spoke | 63.1 | |
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Machine | 63.1 | |
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Snow | 60.7 | |
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Path | 56.6 | |
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Walkway | 56.1 | |
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Winter | 55.5 | |
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Imagga
created on 2022-06-04
tramway | 58.1 | |
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conveyance | 50.2 | |
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architecture | 33.4 | |
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sky | 32.6 | |
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building | 32 | |
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semaphore | 29.1 | |
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structure | 26.2 | |
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city | 24.1 | |
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apparatus | 23.3 | |
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tower | 23.3 | |
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cable | 23.2 | |
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urban | 22.7 | |
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house | 21.1 | |
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track | 20.1 | |
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equipment | 18.5 | |
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construction | 17.1 | |
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high | 16.5 | |
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old | 16 | |
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station | 14.3 | |
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wire | 14.1 | |
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tall | 14.1 | |
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wall | 14 | |
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street | 13.8 | |
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industry | 13.7 | |
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electric | 13.1 | |
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new | 13 | |
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exterior | 12.9 | |
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home | 12.8 | |
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industrial | 12.7 | |
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travel | 12.7 | |
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residential | 12.5 | |
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window | 12.5 | |
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roof | 12.4 | |
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electricity | 12.3 | |
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streetcar | 12.1 | |
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bridge | 11.6 | |
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windows | 11.5 | |
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wheeled vehicle | 11.5 | |
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metal | 11.3 | |
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power | 10.9 | |
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road | 10.8 | |
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houses | 10.7 | |
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modern | 10.5 | |
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brick | 10.4 | |
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winter | 10.2 | |
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car | 10.1 | |
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landmark | 9.9 | |
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vehicle | 9.9 | |
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wires | 9.8 | |
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steel | 9.7 | |
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area | 9.5 | |
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scene | 9.5 | |
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cold | 9.5 | |
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clouds | 9.3 | |
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landscape | 8.9 | |
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voltage | 8.8 | |
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district | 8.7 | |
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downtown | 8.7 | |
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buildings | 8.5 | |
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energy | 8.4 | |
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town | 8.4 | |
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historic | 8.3 | |
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technology | 8.2 | |
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residence | 8.1 | |
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sunset | 8.1 | |
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light | 8 | |
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river | 8 | |
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wooden | 7.9 | |
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business | 7.9 | |
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ancient | 7.8 | |
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line | 7.7 | |
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electrical | 7.7 | |
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estate | 7.6 | |
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real | 7.6 | |
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wood | 7.5 | |
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plant | 7.5 | |
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church | 7.4 | |
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trees | 7.1 | |
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grass | 7.1 | |
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night | 7.1 | |
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rural | 7.1 | |
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Google
created on 2022-06-04
Building | 95.7 | |
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Photograph | 94.2 | |
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Window | 92.9 | |
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White | 92.2 | |
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Sky | 90.9 | |
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Black | 89.9 | |
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Lighting | 87.1 | |
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House | 86.9 | |
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Door | 86.5 | |
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Tree | 84.4 | |
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Black-and-white | 83.8 | |
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Electricity | 82.5 | |
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Line | 82.2 | |
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Facade | 76.7 | |
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Tints and shades | 75.4 | |
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Siding | 74.6 | |
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Snapshot | 74.3 | |
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Overhead power line | 74.2 | |
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Porch | 74 | |
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Darkness | 72.4 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488786/754,506,6,10/full/0/native.jpg)
AWS Rekognition
Age | 19-27 |
Gender | Female, 75% |
Calm | 66.6% |
Fear | 21.1% |
Surprised | 8.4% |
Sad | 2.9% |
Confused | 2% |
Happy | 1.8% |
Disgusted | 1.3% |
Angry | 0.7% |
Categories
Imagga
cars vehicles | 64.9% | |
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streetview architecture | 24.7% | |
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nature landscape | 6.3% | |
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paintings art | 2% | |
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Captions
Microsoft
created on 2022-06-04
a vintage photo of a building | 84.6% | |
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a vintage photo of an old building | 80.9% | |
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a vintage photo of a large building | 80.8% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488786/508,466,130,20/full/0/native.jpg)
WASHINGTON
![](https://ids.lib.harvard.edu/ids/iiif/20488786/508,464,231,23/full/0/native.jpg)
WASHINGTON MARKET.
![](https://ids.lib.harvard.edu/ids/iiif/20488786/648,464,90,20/full/0/native.jpg)
MARKET.
![](https://ids.lib.harvard.edu/ids/iiif/20488786/284,785,17,25/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/20488786/714,797,32,12/full/0/native.jpg)
Not
![](https://ids.lib.harvard.edu/ids/iiif/20488786/154,789,60,21/full/0/native.jpg)
crassing
![](https://ids.lib.harvard.edu/ids/iiif/20488786/213,784,69,32/full/0/native.jpg)
duaction
![](https://ids.lib.harvard.edu/ids/iiif/20488786/42,782,342,37/full/0/native.jpg)
Union Sa.grade crassing duaction of WebslerAv
![](https://ids.lib.harvard.edu/ids/iiif/20488786/714,797,84,13/full/0/native.jpg)
Not RG10
![](https://ids.lib.harvard.edu/ids/iiif/20488786/726,539,28,11/full/0/native.jpg)
SALADA
![](https://ids.lib.harvard.edu/ids/iiif/20488786/299,784,84,26/full/0/native.jpg)
WebslerAv
![](https://ids.lib.harvard.edu/ids/iiif/20488786/43,795,47,16/full/0/native.jpg)
Union
![](https://ids.lib.harvard.edu/ids/iiif/20488786/914,10,84,31/full/0/native.jpg)
3765B
![](https://ids.lib.harvard.edu/ids/iiif/20488786/734,552,9,4/full/0/native.jpg)
IF
![](https://ids.lib.harvard.edu/ids/iiif/20488786/925,794,60,19/full/0/native.jpg)
3715.B
![](https://ids.lib.harvard.edu/ids/iiif/20488786/754,798,44,11/full/0/native.jpg)
RG10
![](https://ids.lib.harvard.edu/ids/iiif/20488786/86,788,67,27/full/0/native.jpg)
Sa.grade
![](https://ids.lib.harvard.edu/ids/iiif/20488786/44,14,952,805/full/0/native.jpg)
HUG
Junon Sagrade crassing,duacion of Hiebsler Av.
09
WASHINGTON MARKET.
CLADE'S
SALADA
TEA
FOLCOLLE
TETITE
37(56
![](https://ids.lib.harvard.edu/ids/iiif/20488786/44,793,48,26/full/0/native.jpg)
Junon
![](https://ids.lib.harvard.edu/ids/iiif/20488786/156,791,63,25/full/0/native.jpg)
crassing
![](https://ids.lib.harvard.edu/ids/iiif/20488786/217,789,67,26/full/0/native.jpg)
duacion
![](https://ids.lib.harvard.edu/ids/iiif/20488786/302,787,66,26/full/0/native.jpg)
Hiebsler
![](https://ids.lib.harvard.edu/ids/iiif/20488786/382,787,11,24/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20488786/510,467,131,24/full/0/native.jpg)
WASHINGTON
![](https://ids.lib.harvard.edu/ids/iiif/20488786/516,527,35,11/full/0/native.jpg)
CLADE'S
![](https://ids.lib.harvard.edu/ids/iiif/20488786/734,552,18,11/full/0/native.jpg)
TEA
![](https://ids.lib.harvard.edu/ids/iiif/20488786/846,525,31,12/full/0/native.jpg)
TETITE
![](https://ids.lib.harvard.edu/ids/iiif/20488786/950,17,16,21/full/0/native.jpg)
(
![](https://ids.lib.harvard.edu/ids/iiif/20488786/237,409,224,48/full/0/native.jpg)
HUG
![](https://ids.lib.harvard.edu/ids/iiif/20488786/87,792,70,26/full/0/native.jpg)
Sagrade
![](https://ids.lib.harvard.edu/ids/iiif/20488786/211,791,14,24/full/0/native.jpg)
,
![](https://ids.lib.harvard.edu/ids/iiif/20488786/284,789,21,24/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/20488786/361,787,27,24/full/0/native.jpg)
Av
![](https://ids.lib.harvard.edu/ids/iiif/20488786/561,291,114,69/full/0/native.jpg)
09
![](https://ids.lib.harvard.edu/ids/iiif/20488786/649,465,88,23/full/0/native.jpg)
MARKET
![](https://ids.lib.harvard.edu/ids/iiif/20488786/727,542,32,13/full/0/native.jpg)
SALADA
![](https://ids.lib.harvard.edu/ids/iiif/20488786/712,559,66,19/full/0/native.jpg)
FOLCOLLE
![](https://ids.lib.harvard.edu/ids/iiif/20488786/918,15,35,22/full/0/native.jpg)
37
![](https://ids.lib.harvard.edu/ids/iiif/20488786/959,18,37,23/full/0/native.jpg)
56