Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
vessel | 44 | |
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ship | 40.3 | |
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structure | 26.6 | |
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industrial | 25.4 | |
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water | 25.4 | |
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craft | 25 | |
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building | 23 | |
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bridge | 22.9 | |
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industry | 22.2 | |
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wreck | 22 | |
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device | 21.7 | |
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boat | 21.4 | |
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construction | 21.4 | |
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machine | 20.8 | |
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river | 20.5 | |
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sky | 20.4 | |
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architecture | 20 | |
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steel | 19.6 | |
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city | 19.1 | |
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sea | 17.2 | |
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support | 17.1 | |
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urban | 16.6 | |
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shipwreck | 16 | |
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step | 15.7 | |
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old | 14.6 | |
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transportation | 14.4 | |
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vehicle | 14 | |
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power | 13.4 | |
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travel | 13.4 | |
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transport | 12.8 | |
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harbor | 12.5 | |
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barrier | 12.5 | |
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metal | 12.1 | |
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boats | 11.7 | |
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nautical | 11.7 | |
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port | 11.6 | |
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dam | 11.4 | |
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iron | 11.2 | |
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crane | 10.9 | |
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ocean | 10.8 | |
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tower | 10.7 | |
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sailing | 10.7 | |
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reflection | 10.6 | |
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dock | 9.7 | |
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new | 9.7 | |
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landscape | 9.7 | |
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heavy | 9.5 | |
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pier | 9.5 | |
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skyline | 9.5 | |
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wood | 9.2 | |
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business | 9.1 | |
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factory | 9 | |
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abandoned | 8.8 | |
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station | 8.7 | |
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cityscape | 8.5 | |
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wall | 8.4 | |
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modern | 8.4 | |
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marina | 8.3 | |
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outdoors | 8.2 | |
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end | 8.2 | |
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obstruction | 8.2 | |
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dredge | 8.1 | |
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beam | 8.1 | |
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equipment | 8 | |
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mast | 7.9 | |
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high | 7.8 | |
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broken | 7.7 | |
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rust | 7.7 | |
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engineering | 7.6 | |
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build | 7.6 | |
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cable | 7.5 | |
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exterior | 7.4 | |
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landmark | 7.2 | |
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sunset | 7.2 | |
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machinery | 7.1 | |
|
Google
created on 2022-06-04
Black | 89.6 | |
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Naval architecture | 81.1 | |
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Monochrome | 72.8 | |
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Motor vehicle | 71.2 | |
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Composite material | 71.2 | |
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Engineering | 70 | |
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Metal | 67.4 | |
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Monochrome photography | 65.5 | |
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Steel | 63.4 | |
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History | 59.1 | |
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Auto part | 57 | |
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Drawing | 56.6 | |
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Vehicle | 56.6 | |
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Watercraft | 55.5 | |
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Automotive wheel system | 54.7 | |
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Wood | 53 | |
|
Microsoft
created on 2022-06-04
drawing | 98.9 | |
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sketch | 98.5 | |
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black and white | 93.8 | |
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boat | 86.1 | |
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transport | 83.7 | |
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watercraft | 83.2 | |
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abandoned | 80.3 | |
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old | 76.2 | |
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factory | 68.6 | |
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construction | 60.6 | |
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text | 60 | |
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decay | 54.3 | |
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raft | 27 | |
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dirty | 20.7 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489005/35,39,961,696/full/0/native.jpg)
Boat | 72.8% | |
|
Categories
Imagga
streetview architecture | 45.4% | |
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paintings art | 31.5% | |
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cars vehicles | 9.9% | |
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nature landscape | 8.9% | |
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text visuals | 1.3% | |
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interior objects | 1.2% | |
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Captions
Microsoft
created on 2022-06-04
an old photo of a boat | 61.8% | |
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an old photo of a ship | 61.7% | |
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old photo of a boat | 60.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489005/628,787,46,24/full/0/native.jpg)
April
![](https://ids.lib.harvard.edu/ids/iiif/20489005/916,785,56,18/full/0/native.jpg)
4588
![](https://ids.lib.harvard.edu/ids/iiif/20489005/49,785,78,28/full/0/native.jpg)
Kendell
![](https://ids.lib.harvard.edu/ids/iiif/20489005/628,787,115,24/full/0/native.jpg)
April izo. -
![](https://ids.lib.harvard.edu/ids/iiif/20489005/48,781,244,35/full/0/native.jpg)
Kendell Sq.Station Wride
![](https://ids.lib.harvard.edu/ids/iiif/20489005/121,783,100,31/full/0/native.jpg)
Sq.Station
![](https://ids.lib.harvard.edu/ids/iiif/20489005/219,783,72,30/full/0/native.jpg)
Wride
![](https://ids.lib.harvard.edu/ids/iiif/20489005/712,794,31,16/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20489005/680,794,31,15/full/0/native.jpg)
izo.
![](https://ids.lib.harvard.edu/ids/iiif/20489005/49,787,927,29/full/0/native.jpg)
Kendall
Station Wide
April 20.0
4588
![](https://ids.lib.harvard.edu/ids/iiif/20489005/49,788,81,26/full/0/native.jpg)
Kendall
![](https://ids.lib.harvard.edu/ids/iiif/20489005/155,788,69,26/full/0/native.jpg)
Station
![](https://ids.lib.harvard.edu/ids/iiif/20489005/225,787,70,26/full/0/native.jpg)
Wide
![](https://ids.lib.harvard.edu/ids/iiif/20489005/628,790,54,25/full/0/native.jpg)
April
![](https://ids.lib.harvard.edu/ids/iiif/20489005/685,791,53,25/full/0/native.jpg)
20.0
![](https://ids.lib.harvard.edu/ids/iiif/20489005/918,788,58,17/full/0/native.jpg)
4588