Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
conveyance | 61.7 | |
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bus | 55.7 | |
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tramway | 48.2 | |
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vehicle | 45.4 | |
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trolleybus | 38.9 | |
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wheeled vehicle | 38.7 | |
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transportation | 35 | |
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public transport | 34.5 | |
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streetcar | 32.9 | |
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camper | 32.2 | |
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transport | 32 | |
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car | 28.8 | |
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recreational vehicle | 26.8 | |
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travel | 24.6 | |
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truck | 22.2 | |
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road | 21.7 | |
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self-propelled vehicle | 20.1 | |
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street | 17.5 | |
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engine | 16.4 | |
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water | 16 | |
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city | 15.8 | |
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old | 15.3 | |
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urban | 14.9 | |
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trip | 13.2 | |
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boat | 13 | |
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tourism | 12.4 | |
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sky | 12.1 | |
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industry | 12 | |
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vacation | 11.5 | |
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container | 11.2 | |
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fire | 11.2 | |
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architecture | 11 | |
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sea | 10.9 | |
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power | 10.9 | |
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industrial | 10.9 | |
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public | 10.7 | |
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automobile | 10.5 | |
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building | 10.4 | |
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rescue | 9.8 | |
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drive | 9.5 | |
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minibus | 9.1 | |
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landscape | 8.9 | |
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fireman | 8.9 | |
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emergency | 8.7 | |
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harbor | 8.7 | |
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train | 8.7 | |
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auto | 8.6 | |
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traffic | 8.6 | |
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passenger | 8.5 | |
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journey | 8.5 | |
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shuttle bus | 8.4 | |
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motor vehicle | 8.1 | |
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firetruck | 7.9 | |
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holiday | 7.9 | |
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hose | 7.9 | |
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ride | 7.8 | |
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port | 7.7 | |
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shuttle | 7.7 | |
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england | 7.6 | |
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ship | 7.6 | |
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buildings | 7.6 | |
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house | 7.5 | |
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ocean | 7.5 | |
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help | 7.5 | |
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famous | 7.4 | |
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park | 7.4 | |
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yellow | 7.3 | |
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tourist | 7.3 | |
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color | 7.2 | |
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history | 7.2 | |
|
Google
created on 2022-06-04
Building | 94.6 | |
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Vehicle | 92.3 | |
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Window | 92.3 | |
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Motor vehicle | 91.2 | |
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Black | 89.6 | |
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Black-and-white | 85.3 | |
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Mode of transport | 84.6 | |
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Style | 83.8 | |
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Automotive lighting | 79.7 | |
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House | 73.5 | |
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Monochrome photography | 73.1 | |
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Road | 73.1 | |
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Monochrome | 72.8 | |
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Cable car | 72.6 | |
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Pedestrian | 72.3 | |
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Public transport | 72 | |
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Tram | 71.1 | |
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Classic | 70.4 | |
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City | 70.1 | |
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Rolling stock | 67.1 | |
|
Microsoft
created on 2022-06-04
road | 99 | |
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outdoor | 94.7 | |
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vehicle | 83.5 | |
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text | 82.4 | |
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land vehicle | 79.8 | |
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black and white | 76.8 | |
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white | 69.5 | |
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bus | 10.1 | |
|
Color Analysis
Face analysis
![](https://ids.lib.harvard.edu/ids/iiif/20489076/227,340,29,34/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
cars vehicles | 100% | |
|
Captions
Microsoft
created on 2022-06-04
a group of people standing in front of a building | 94.5% | |
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a group of people walking in front of a building | 94.4% | |
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a group of people walking down the street | 94.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489076/602,364,60,14/full/0/native.jpg)
2203
![](https://ids.lib.harvard.edu/ids/iiif/20489076/841,278,37,18/full/0/native.jpg)
OIL
![](https://ids.lib.harvard.edu/ids/iiif/20489076/894,267,129,27/full/0/native.jpg)
COMPANY
![](https://ids.lib.harvard.edu/ids/iiif/20489076/605,433,46,17/full/0/native.jpg)
613500
![](https://ids.lib.harvard.edu/ids/iiif/20489076/622,206,129,29/full/0/native.jpg)
KENMORE
![](https://ids.lib.harvard.edu/ids/iiif/20489076/341,375,35,14/full/0/native.jpg)
ELEVATED
![](https://ids.lib.harvard.edu/ids/iiif/20489076/811,267,214,31/full/0/native.jpg)
de OIL COMPANY
![](https://ids.lib.harvard.edu/ids/iiif/20489076/422,374,18,11/full/0/native.jpg)
220
![](https://ids.lib.harvard.edu/ids/iiif/20489076/312,373,128,16/full/0/native.jpg)
TOSTEN ELEVATED RAILWAY 220
![](https://ids.lib.harvard.edu/ids/iiif/20489076/380,375,32,13/full/0/native.jpg)
RAILWAY
![](https://ids.lib.harvard.edu/ids/iiif/20489076/813,284,11,13/full/0/native.jpg)
de
![](https://ids.lib.harvard.edu/ids/iiif/20489076/615,428,13,5/full/0/native.jpg)
MATE
![](https://ids.lib.harvard.edu/ids/iiif/20489076/313,378,23,10/full/0/native.jpg)
TOSTEN
![](https://ids.lib.harvard.edu/ids/iiif/20489076/319,137,713,318/full/0/native.jpg)
SON ELEVATED RAILWAY 220/
Daure
2203
613500
E OIL COMPANY
![](https://ids.lib.harvard.edu/ids/iiif/20489076/319,377,22,17/full/0/native.jpg)
SON
![](https://ids.lib.harvard.edu/ids/iiif/20489076/341,376,37,17/full/0/native.jpg)
ELEVATED
![](https://ids.lib.harvard.edu/ids/iiif/20489076/381,374,35,17/full/0/native.jpg)
RAILWAY
![](https://ids.lib.harvard.edu/ids/iiif/20489076/421,372,21,17/full/0/native.jpg)
220
![](https://ids.lib.harvard.edu/ids/iiif/20489076/435,373,10,15/full/0/native.jpg)
/
![](https://ids.lib.harvard.edu/ids/iiif/20489076/594,137,83,52/full/0/native.jpg)
Daure
![](https://ids.lib.harvard.edu/ids/iiif/20489076/604,366,62,17/full/0/native.jpg)
2203
![](https://ids.lib.harvard.edu/ids/iiif/20489076/606,430,50,25/full/0/native.jpg)
613500
![](https://ids.lib.harvard.edu/ids/iiif/20489076/814,283,17,21/full/0/native.jpg)
E
![](https://ids.lib.harvard.edu/ids/iiif/20489076/843,279,38,22/full/0/native.jpg)
OIL
![](https://ids.lib.harvard.edu/ids/iiif/20489076/897,267,135,31/full/0/native.jpg)
COMPANY