Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
shopping cart | 100 | |
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handcart | 100 | |
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wheeled vehicle | 89 | |
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container | 56.6 | |
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conveyance | 30.1 | |
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building | 29.3 | |
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city | 25.8 | |
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urban | 25.3 | |
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architecture | 24.7 | |
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industrial | 19.1 | |
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steel | 18.6 | |
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construction | 18 | |
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industry | 17.9 | |
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metal | 16.9 | |
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structure | 15.7 | |
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modern | 14.7 | |
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tower | 14.3 | |
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power | 12.6 | |
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factory | 12.5 | |
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pipe | 11.7 | |
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night | 11.5 | |
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travel | 11.3 | |
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iron | 11.2 | |
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street | 11 | |
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business | 10.9 | |
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sky | 10.8 | |
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river | 10.7 | |
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gas | 10.6 | |
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pollution | 10.6 | |
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cityscape | 10.4 | |
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plant | 9.7 | |
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technology | 9.7 | |
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roof | 9.5 | |
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skyline | 9.5 | |
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buildings | 9.5 | |
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glass | 9.3 | |
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town | 9.3 | |
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inside | 9.2 | |
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tourism | 9.1 | |
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environment | 9.1 | |
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road | 9 | |
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design | 9 | |
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landscape | 8.9 | |
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bridge | 8.9 | |
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stairs | 8.8 | |
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water | 8.7 | |
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skyscraper | 8.6 | |
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heavy | 8.6 | |
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snow | 8.6 | |
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equipment | 8.6 | |
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liner | 8.5 | |
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black | 8.4 | |
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famous | 8.4 | |
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landmark | 8.1 | |
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reflection | 8.1 | |
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interior | 8 | |
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scene | 7.8 | |
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ship | 7.7 | |
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old | 7.7 | |
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concrete | 7.7 | |
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engineering | 7.6 | |
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estate | 7.6 | |
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house | 7.5 | |
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oil | 7.4 | |
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lights | 7.4 | |
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light | 7.4 | |
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new | 7.3 | |
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work | 7.2 | |
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park | 7.1 | |
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Google
created on 2022-06-04
Building | 91.3 | |
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Water | 87.6 | |
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Black-and-white | 83.3 | |
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Window | 83.1 | |
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Urban design | 77.5 | |
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City | 74.3 | |
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Monochrome | 72.5 | |
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Motor vehicle | 71.3 | |
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Monochrome photography | 70.8 | |
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Vehicle | 67.9 | |
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House | 67.9 | |
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History | 64.2 | |
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Mixed-use | 63.2 | |
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Stock photography | 62.1 | |
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Steel | 58 | |
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Crowd | 56.7 | |
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Machine | 56.5 | |
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Landscape | 54.5 | |
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Street | 53.9 | |
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Facade | 53.8 | |
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Microsoft
created on 2022-06-04
black and white | 91.1 | |
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railroad | 90.5 | |
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drawing | 88.9 | |
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sketch | 82 | |
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black | 81.7 | |
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text | 78.3 | |
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white | 67 | |
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locomotive | 63.8 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488984/879,212,12,20/full/0/native.jpg)
Person | 43.8% | |
|
Categories
Imagga
cars vehicles | 97.5% | |
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nature landscape | 1.1% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a city | 79.9% | |
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an old photo of a building | 77.7% | |
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a large building | 73.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488984/920,789,48,18/full/0/native.jpg)
4915
![](https://ids.lib.harvard.edu/ids/iiif/20488984/154,779,66,24/full/0/native.jpg)
Progress
![](https://ids.lib.harvard.edu/ids/iiif/20488984/49,386,58,39/full/0/native.jpg)
FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/20488984/-3,386,119,67/full/0/native.jpg)
STUDENTS FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/20488984/2,408,62,45/full/0/native.jpg)
STUDENTS
![](https://ids.lib.harvard.edu/ids/iiif/20488984/219,776,47,26/full/0/native.jpg)
view
![](https://ids.lib.harvard.edu/ids/iiif/20488984/49,775,217,36/full/0/native.jpg)
HaruardSa. Progress view
![](https://ids.lib.harvard.edu/ids/iiif/20488984/672,782,13,11/full/0/native.jpg)
9,
![](https://ids.lib.harvard.edu/ids/iiif/20488984/50,779,106,32/full/0/native.jpg)
HaruardSa.
![](https://ids.lib.harvard.edu/ids/iiif/20488984/616,789,103,22/full/0/native.jpg)
NOV.
![](https://ids.lib.harvard.edu/ids/iiif/20488984/-47,127,1019,731/full/0/native.jpg)
STUDENTS FURNITURE
Haruard Sq. Progress view
Nov. 4.10
QUEEPVD
4915
![](https://ids.lib.harvard.edu/ids/iiif/20488984/1,413,63,45/full/0/native.jpg)
STUDENTS
![](https://ids.lib.harvard.edu/ids/iiif/20488984/54,387,57,42/full/0/native.jpg)
FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/20488984/52,785,79,23/full/0/native.jpg)
Haruard
![](https://ids.lib.harvard.edu/ids/iiif/20488984/126,786,27,21/full/0/native.jpg)
Sq
![](https://ids.lib.harvard.edu/ids/iiif/20488984/148,786,11,21/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20488984/156,784,68,23/full/0/native.jpg)
Progress
![](https://ids.lib.harvard.edu/ids/iiif/20488984/223,785,41,21/full/0/native.jpg)
view
![](https://ids.lib.harvard.edu/ids/iiif/20488984/620,795,58,17/full/0/native.jpg)
Nov.
![](https://ids.lib.harvard.edu/ids/iiif/20488984/671,795,49,17/full/0/native.jpg)
4.10
![](https://ids.lib.harvard.edu/ids/iiif/20488984/717,127,126,24/full/0/native.jpg)
QUEEPVD
![](https://ids.lib.harvard.edu/ids/iiif/20488984/919,791,53,19/full/0/native.jpg)
4915