Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
structure | 41.2 | |
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snow | 39.9 | |
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winter | 32.3 | |
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landscape | 26.8 | |
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cold | 24.1 | |
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tree | 21.9 | |
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hut | 21.4 | |
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trees | 21.4 | |
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sky | 21.1 | |
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season | 21.1 | |
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house | 19.5 | |
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old | 18.8 | |
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shelter | 18.1 | |
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travel | 17.6 | |
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forest | 17.4 | |
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fence | 17.4 | |
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building | 15.7 | |
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outdoor | 15.3 | |
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weather | 14.1 | |
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scene | 13.9 | |
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picket fence | 13.8 | |
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architecture | 13.4 | |
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park | 13.2 | |
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road | 12.7 | |
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freeze | 12.6 | |
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city | 12.5 | |
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seasonal | 12.3 | |
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ice | 12.2 | |
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wheeled vehicle | 11.7 | |
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street | 11 | |
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transportation | 10.8 | |
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vintage | 10.8 | |
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light | 10.7 | |
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rural | 10.6 | |
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new | 10.5 | |
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town | 10.2 | |
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mountains | 10.2 | |
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holiday | 10 | |
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water | 10 | |
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wood | 10 | |
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barrier | 9.9 | |
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scenery | 9.9 | |
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vehicle | 9.8 | |
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night | 9.8 | |
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snowy | 9.7 | |
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mobile home | 9.6 | |
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housing | 9.6 | |
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barn | 9.4 | |
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industry | 9.4 | |
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church | 9.3 | |
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billboard | 9.1 | |
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ski slope | 9 | |
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history | 8.9 | |
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scenic | 8.8 | |
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home | 8.8 | |
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trailer | 8.7 | |
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frost | 8.6 | |
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grunge | 8.5 | |
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clouds | 8.5 | |
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slope | 8.4 | |
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field | 8.4 | |
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outdoors | 8.2 | |
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retro | 8.2 | |
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mountain | 8.1 | |
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religion | 8.1 | |
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country | 7.9 | |
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semaphore | 7.9 | |
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urban | 7.9 | |
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train | 7.9 | |
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frosty | 7.8 | |
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antique | 7.8 | |
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fog | 7.7 | |
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storm | 7.7 | |
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frozen | 7.6 | |
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dark | 7.5 | |
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track | 7.5 | |
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tourism | 7.4 | |
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signboard | 7.4 | |
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industrial | 7.3 | |
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color | 7.2 | |
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grass | 7.1 | |
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river | 7.1 | |
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cool | 7.1 | |
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truck | 7.1 | |
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ski | 7.1 | |
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summer | 7.1 | |
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Google
created on 2022-06-04
Black | 89.7 | |
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Building | 89.2 | |
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Window | 86.2 | |
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Black-and-white | 83.7 | |
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Tree | 82.8 | |
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Line | 82.3 | |
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Electricity | 81.7 | |
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Plant | 81.6 | |
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Rectangle | 77.5 | |
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Tints and shades | 77.2 | |
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House | 72.6 | |
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Monochrome photography | 71.6 | |
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Monochrome | 70.4 | |
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Track | 68.2 | |
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Street light | 66.6 | |
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Slope | 65.1 | |
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Automotive lighting | 64.2 | |
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Overhead power line | 64.1 | |
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Stock photography | 62.5 | |
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Electrical supply | 61.1 | |
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Microsoft
created on 2022-06-04
outdoor | 93.6 | |
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black and white | 93.3 | |
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white | 87.7 | |
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text | 80 | |
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black | 79.7 | |
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night | 68.6 | |
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old | 63.2 | |
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monochrome | 54.2 | |
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vintage | 27.1 | |
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railroad | 25 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489123/2,306,49,467/full/0/native.jpg)
Person | 60.5% | |
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Categories
Imagga
cars vehicles | 100% | |
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Captions
Microsoft
created on 2022-06-04
a vintage photo of a railroad track | 69.1% | |
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a vintage photo of a train | 53.6% | |
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a vintage photo of an old building | 53.5% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489123/331,726,28,18/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/20489123/619,725,75,21/full/0/native.jpg)
from
![](https://ids.lib.harvard.edu/ids/iiif/20489123/361,724,75,16/full/0/native.jpg)
River
![](https://ids.lib.harvard.edu/ids/iiif/20489123/264,725,60,16/full/0/native.jpg)
side
![](https://ids.lib.harvard.edu/ids/iiif/20489123/703,721,137,24/full/0/native.jpg)
opp.466
![](https://ids.lib.harvard.edu/ids/iiif/20489123/264,720,701,26/full/0/native.jpg)
side of River St.-5'14 view from opp.466 River st
![](https://ids.lib.harvard.edu/ids/iiif/20489123/556,723,64,16/full/0/native.jpg)
view
![](https://ids.lib.harvard.edu/ids/iiif/20489123/843,720,122,21/full/0/native.jpg)
River st
![](https://ids.lib.harvard.edu/ids/iiif/20489123/710,738,198,21/full/0/native.jpg)
7702.1926,
![](https://ids.lib.harvard.edu/ids/iiif/20489123/96,740,154,19/full/0/native.jpg)
770.1063
![](https://ids.lib.harvard.edu/ids/iiif/20489123/446,722,106,22/full/0/native.jpg)
St.-5'14
![](https://ids.lib.harvard.edu/ids/iiif/20489123/56,721,1307,43/full/0/native.jpg)
ری DR.Tech Side of river - Zero 466 Per
770.1063,
2022
![](https://ids.lib.harvard.edu/ids/iiif/20489123/936,721,24,32/full/0/native.jpg)
ری
![](https://ids.lib.harvard.edu/ids/iiif/20489123/56,721,227,32/full/0/native.jpg)
DR.Tech
![](https://ids.lib.harvard.edu/ids/iiif/20489123/270,721,59,32/full/0/native.jpg)
Side
![](https://ids.lib.harvard.edu/ids/iiif/20489123/334,721,30,32/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/20489123/375,721,73,32/full/0/native.jpg)
river
![](https://ids.lib.harvard.edu/ids/iiif/20489123/490,721,12,32/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20489123/554,721,119,32/full/0/native.jpg)
Zero
![](https://ids.lib.harvard.edu/ids/iiif/20489123/771,721,72,32/full/0/native.jpg)
466
![](https://ids.lib.harvard.edu/ids/iiif/20489123/846,721,79,32/full/0/native.jpg)
Per
![](https://ids.lib.harvard.edu/ids/iiif/20489123/100,743,145,19/full/0/native.jpg)
770.1063
![](https://ids.lib.harvard.edu/ids/iiif/20489123/242,744,12,17/full/0/native.jpg)
,
![](https://ids.lib.harvard.edu/ids/iiif/20489123/709,737,204,27/full/0/native.jpg)
2022