Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
railway | 99.1 | |
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transportation system | 99 | |
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train | 98.9 | |
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monochrome | 98.8 | |
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people | 98.7 | |
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vehicle | 98.6 | |
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street | 98.3 | |
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locomotive | 97.8 | |
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group together | 95.8 | |
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road | 91.9 | |
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adult | 90.3 | |
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black and white | 89.3 | |
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track | 88.3 | |
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tram | 87.5 | |
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group | 86.6 | |
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city | 86.6 | |
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engine | 84.8 | |
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horizontal plane | 84.7 | |
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many | 83.4 | |
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car | 82.6 | |
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Imagga
created on 2019-05-29
passenger car | 100 | |
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car | 100 | |
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wheeled vehicle | 99.5 | |
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vehicle | 84 | |
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train | 51 | |
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transportation | 48.5 | |
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conveyance | 45.6 | |
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transport | 43 | |
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railway | 36.3 | |
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rail | 34.4 | |
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railroad | 33.4 | |
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travel | 33.1 | |
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station | 30.4 | |
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track | 27.7 | |
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locomotive | 26.9 | |
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engine | 25.1 | |
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streetcar | 22.2 | |
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tramway | 22 | |
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old | 19.5 | |
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urban | 19.2 | |
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sky | 19.2 | |
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city | 19.1 | |
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road | 19 | |
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freight car | 17.4 | |
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electric | 16.9 | |
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tracks | 16.7 | |
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wagon | 16.6 | |
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transit | 14.8 | |
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street | 14.7 | |
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cargo | 14.6 | |
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industry | 14.5 | |
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traffic | 14.3 | |
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passenger | 13.9 | |
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power | 13.4 | |
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speed | 12.8 | |
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tourist | 12.7 | |
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tourism | 12.4 | |
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rails | 11.9 | |
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subway | 11.8 | |
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steam | 11.7 | |
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architecture | 10.9 | |
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industrial | 10.9 | |
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freight | 10.8 | |
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journey | 10.4 | |
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line | 10.3 | |
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vintage | 9.9 | |
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tram | 9.9 | |
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platform | 9.8 | |
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metal | 9.7 | |
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cable | 9.6 | |
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trip | 9.4 | |
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motion | 9.4 | |
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perspective | 9.4 | |
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window | 9.2 | |
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vacation | 9 | |
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carriage | 8.9 | |
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steel | 8.9 | |
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building | 8.8 | |
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way | 8.6 | |
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container | 8.4 | |
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house | 8.4 | |
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historic | 8.3 | |
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outdoors | 8.2 | |
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commuter | 7.9 | |
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commute | 7.9 | |
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day | 7.9 | |
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public | 7.8 | |
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traveling | 7.8 | |
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sunny | 7.8 | |
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summer | 7.7 | |
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move | 7.7 | |
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iron | 7.5 | |
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town | 7.4 | |
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retro | 7.4 | |
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holiday | 7.2 | |
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rural | 7.1 | |
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Google
created on 2019-05-29
Transport | 98.2 | |
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Railway | 94.2 | |
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Train | 92 | |
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Rolling stock | 90.9 | |
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Mode of transport | 90.3 | |
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Vehicle | 89.1 | |
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Locomotive | 86.4 | |
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Railroad car | 80.5 | |
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Passenger car | 78.2 | |
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Public transport | 64.5 | |
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Track | 62.6 | |
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Auto part | 61.2 | |
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History | 60.4 | |
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Train station | 53.4 | |
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Steam | 53.3 | |
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Microsoft
created on 2019-05-29
sky | 99.9 | |
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tree | 97.6 | |
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outdoor | 97.3 | |
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train | 96.8 | |
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vehicle | 89.7 | |
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land vehicle | 86.2 | |
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railroad | 80.2 | |
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fog | 64.2 | |
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black and white | 62.2 | |
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locomotive | 60.8 | |
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old | 45.9 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15177324/139,476,12,16/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Confused | 49.5% |
Sad | 49.7% |
Calm | 49.8% |
Surprised | 49.6% |
Disgusted | 49.5% |
Angry | 49.5% |
Happy | 49.8% |
![](https://ids.lib.harvard.edu/ids/iiif/15177324/317,482,10,14/full/0/native.jpg)
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Calm | 50.2% |
Disgusted | 49.5% |
Angry | 49.5% |
Happy | 49.6% |
Surprised | 49.5% |
Sad | 49.6% |
Confused | 49.5% |
Feature analysis
Categories
Imagga
cars vehicles | 82.6% | |
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nature landscape | 12.7% | |
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streetview architecture | 3.9% | |
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Captions
Microsoft
created on 2019-05-29
a black and white photo of a train | 92.5% | |
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an old photo of a train | 92.1% | |
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old photo of a train | 90.2% | |
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