Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
streetcar | 100 | |
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conveyance | 80.7 | |
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wheeled vehicle | 76.8 | |
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tramway | 74.2 | |
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vehicle | 67.5 | |
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transportation | 40.4 | |
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train | 39.7 | |
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city | 39.1 | |
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urban | 36.7 | |
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transport | 36.6 | |
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travel | 35.3 | |
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street | 28.6 | |
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rail | 27.5 | |
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building | 27 | |
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architecture | 26.6 | |
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station | 25.2 | |
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railroad | 24.6 | |
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railway | 24.6 | |
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car | 20.5 | |
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old | 19.5 | |
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town | 18.6 | |
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road | 18.1 | |
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track | 16.6 | |
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sky | 16.6 | |
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traffic | 16.2 | |
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subway | 15.8 | |
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transit | 15.8 | |
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tourism | 14.9 | |
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engine | 14.5 | |
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window | 13.8 | |
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public | 13.6 | |
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landmark | 13.6 | |
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electric | 13.1 | |
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wagon | 13 | |
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locomotive | 12.5 | |
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vintage | 12.4 | |
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cityscape | 12.3 | |
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industry | 12 | |
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historic | 11.9 | |
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passenger | 11.9 | |
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journey | 11.3 | |
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construction | 11.1 | |
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speed | 11 | |
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industrial | 10.9 | |
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commuter | 10.9 | |
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metro | 10.9 | |
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tower | 10.8 | |
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modern | 10.5 | |
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wall | 10.3 | |
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power | 10.1 | |
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tram | 9.9 | |
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commute | 9.9 | |
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metal | 9.7 | |
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cable | 9.6 | |
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buildings | 9.5 | |
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line | 9.4 | |
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perspective | 9.4 | |
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house | 9.2 | |
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tourist | 9.1 | |
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night | 8.9 | |
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steel | 8.9 | |
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cars | 8.8 | |
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cargo | 8.7 | |
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structure | 8.7 | |
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downtown | 8.7 | |
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move | 8.6 | |
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fast | 8.4 | |
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technology | 8.2 | |
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rails | 7.9 | |
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carriage | 7.9 | |
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platform | 7.9 | |
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tracks | 7.9 | |
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underground | 7.9 | |
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mass | 7.9 | |
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high | 7.8 | |
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way | 7.6 | |
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stone | 7.6 | |
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famous | 7.5 | |
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history | 7.2 | |
|
Google
created on 2022-06-04
Train | 97.6 | |
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Building | 95.4 | |
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Vehicle | 92.7 | |
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Window | 90.9 | |
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Rolling stock | 90.4 | |
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Electricity | 84.3 | |
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Track | 81.2 | |
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Motor vehicle | 80.6 | |
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Railway | 80.5 | |
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Rolling | 79.9 | |
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Tram | 78.6 | |
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Public transport | 78.2 | |
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Railroad car | 73.6 | |
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Locomotive | 72 | |
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Monochrome | 71.5 | |
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Passenger car | 70.6 | |
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Facade | 68.7 | |
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Electrical supply | 66.8 | |
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History | 64.9 | |
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Monochrome photography | 63.8 | |
|
Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 100% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a building | 88.7% | |
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an old photo of a large building | 85.6% | |
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an old photo of a city street | 80.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489079/253,467,61,34/full/0/native.jpg)
CARVER
![](https://ids.lib.harvard.edu/ids/iiif/20489079/497,340,51,29/full/0/native.jpg)
5393
![](https://ids.lib.harvard.edu/ids/iiif/20489079/290,248,28,21/full/0/native.jpg)
LAKE
![](https://ids.lib.harvard.edu/ids/iiif/20489079/262,502,39,13/full/0/native.jpg)
STATE
![](https://ids.lib.harvard.edu/ids/iiif/20489079/92,254,49,23/full/0/native.jpg)
LIGHTING
![](https://ids.lib.harvard.edu/ids/iiif/20489079/252,513,57,14/full/0/native.jpg)
SENATOR
![](https://ids.lib.harvard.edu/ids/iiif/20489079/866,708,60,18/full/0/native.jpg)
24885
![](https://ids.lib.harvard.edu/ids/iiif/20489079/288,235,128,36/full/0/native.jpg)
LAKE ST-COMNONWEALTH
![](https://ids.lib.harvard.edu/ids/iiif/20489079/316,235,99,34/full/0/native.jpg)
ST-COMNONWEALTH
![](https://ids.lib.harvard.edu/ids/iiif/20489079/297,529,8,6/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/20489079/263,455,45,12/full/0/native.jpg)
REPUBLICAN
![](https://ids.lib.harvard.edu/ids/iiif/20489079/282,529,23,6/full/0/native.jpg)
ADT the
![](https://ids.lib.harvard.edu/ids/iiif/20489079/159,469,59,21/full/0/native.jpg)
6:193
![](https://ids.lib.harvard.edu/ids/iiif/20489079/100,531,18,13/full/0/native.jpg)
MIT
![](https://ids.lib.harvard.edu/ids/iiif/20489079/282,529,13,6/full/0/native.jpg)
ADT
![](https://ids.lib.harvard.edu/ids/iiif/20489079/97,237,835,491/full/0/native.jpg)
LIGHTING
SE
MALE SEX
339
LAKE ST-COMMONWEALT
REPUBLICAN
CARVER
STATE
SENATOR
NIELS HOST IN
5393
SEPT
MESTUTARINWEL
191
24885
![](https://ids.lib.harvard.edu/ids/iiif/20489079/97,253,48,28/full/0/native.jpg)
LIGHTING
![](https://ids.lib.harvard.edu/ids/iiif/20489079/131,326,19,116/full/0/native.jpg)
SE
![](https://ids.lib.harvard.edu/ids/iiif/20489079/196,346,20,52/full/0/native.jpg)
MALE
![](https://ids.lib.harvard.edu/ids/iiif/20489079/196,397,19,28/full/0/native.jpg)
SEX
![](https://ids.lib.harvard.edu/ids/iiif/20489079/164,472,41,20/full/0/native.jpg)
339
![](https://ids.lib.harvard.edu/ids/iiif/20489079/292,248,30,26/full/0/native.jpg)
LAKE
![](https://ids.lib.harvard.edu/ids/iiif/20489079/318,246,21,25/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20489079/329,247,11,22/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20489079/335,237,80,31/full/0/native.jpg)
COMMONWEALT
![](https://ids.lib.harvard.edu/ids/iiif/20489079/264,459,48,11/full/0/native.jpg)
REPUBLICAN
![](https://ids.lib.harvard.edu/ids/iiif/20489079/254,468,67,38/full/0/native.jpg)
CARVER
![](https://ids.lib.harvard.edu/ids/iiif/20489079/263,504,42,15/full/0/native.jpg)
STATE
![](https://ids.lib.harvard.edu/ids/iiif/20489079/254,515,57,16/full/0/native.jpg)
SENATOR
![](https://ids.lib.harvard.edu/ids/iiif/20489079/263,527,23,12/full/0/native.jpg)
NIELS
![](https://ids.lib.harvard.edu/ids/iiif/20489079/283,528,17,12/full/0/native.jpg)
HOST
![](https://ids.lib.harvard.edu/ids/iiif/20489079/298,530,13,11/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/20489079/501,341,49,31/full/0/native.jpg)
5393
![](https://ids.lib.harvard.edu/ids/iiif/20489079/501,713,49,14/full/0/native.jpg)
SEPT
![](https://ids.lib.harvard.edu/ids/iiif/20489079/706,327,54,32/full/0/native.jpg)
MESTUTARINWEL
![](https://ids.lib.harvard.edu/ids/iiif/20489079/873,592,42,20/full/0/native.jpg)
191
![](https://ids.lib.harvard.edu/ids/iiif/20489079/867,710,64,18/full/0/native.jpg)
24885