Machine Generated Data
Tags
Amazon
created on 2022-01-22
Locomotive | 99.8 | |
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Transportation | 99.8 | |
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Vehicle | 99.8 | |
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Person | 99 | |
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Human | 99 | |
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Train | 98.8 | |
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Machine | 97.8 | |
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Engine | 96.9 | |
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Motor | 96.9 | |
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Steam Engine | 96.8 | |
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Person | 90.6 | |
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Railway | 87.4 | |
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Rail | 87.4 | |
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Train Track | 87.4 | |
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Alloy Wheel | 55.5 | |
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Spoke | 55.5 | |
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Wheel | 55.3 | |
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Clarifai
created on 2023-10-26
train | 99.7 | |
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vintage | 99.1 | |
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railway | 98.7 | |
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retro | 98.7 | |
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people | 98.6 | |
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locomotive | 97.3 | |
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transportation system | 97.1 | |
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sepia pigment | 96.8 | |
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sepia | 96.2 | |
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vehicle | 95.7 | |
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no person | 95.7 | |
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94.8 | ||
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old | 94.7 | |
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monochrome | 94.5 | |
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nostalgia | 94.4 | |
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engine | 93.1 | |
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antique | 91.1 | |
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one | 90.6 | |
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art | 86.7 | |
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two | 85.9 | |
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Imagga
created on 2022-01-22
freight car | 100 | |
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car | 93.7 | |
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wheeled vehicle | 93 | |
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locomotive | 73.8 | |
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vehicle | 67.5 | |
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steam locomotive | 60.3 | |
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transportation | 34.1 | |
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train | 32.7 | |
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steam | 29.1 | |
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railroad | 28.5 | |
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transport | 28.3 | |
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railway | 27.5 | |
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old | 27.2 | |
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engine | 24.1 | |
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conveyance | 23.7 | |
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track | 23.3 | |
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smoke | 18.6 | |
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travel | 18.3 | |
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sky | 16.6 | |
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vintage | 15.7 | |
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rail | 15.7 | |
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snow | 14.7 | |
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industry | 14.5 | |
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rural | 14.1 | |
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industrial | 13.6 | |
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coal | 12.8 | |
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outdoors | 12.7 | |
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retro | 12.3 | |
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winter | 11.9 | |
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landscape | 11.9 | |
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steel | 11.5 | |
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antique | 11.2 | |
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power | 10.9 | |
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tracks | 10.8 | |
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freight | 10.8 | |
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trees | 10.7 | |
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wheel | 10.4 | |
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outside | 10.3 | |
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iron | 10.3 | |
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black | 10.2 | |
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tree | 10 | |
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water | 9.3 | |
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field | 9.2 | |
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house | 9.2 | |
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road | 9 | |
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station | 9 | |
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cargo | 8.7 | |
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equipment | 8.7 | |
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cold | 8.6 | |
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cloud | 8.6 | |
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architecture | 8.6 | |
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truck | 8.3 | |
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countryside | 8.2 | |
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vacation | 8.2 | |
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metal | 8 | |
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farm | 8 | |
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pollution | 7.7 | |
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machine | 7.7 | |
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rustic | 7.7 | |
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outdoor | 7.6 | |
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historical | 7.5 | |
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environment | 7.4 | |
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building | 7.3 | |
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factory | 7.3 | |
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river | 7.1 | |
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Google
created on 2022-01-22
Train | 98.2 | |
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Wheel | 93.7 | |
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Vehicle | 89.7 | |
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Rolling stock | 85.6 | |
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Rolling | 80.7 | |
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Locomotive | 80.5 | |
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Steam engine | 79.6 | |
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Motor vehicle | 78.4 | |
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Railway | 78.3 | |
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Track | 77.5 | |
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Art | 76.5 | |
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Railroad car | 75.7 | |
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Tints and shades | 72.9 | |
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Auto part | 69.7 | |
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Painting | 67.9 | |
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Public transport | 63.5 | |
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Visual arts | 62.3 | |
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Metal | 62 | |
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Steam | 61.7 | |
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History | 58.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 22-30 |
Gender | Male, 98% |
Calm | 48.3% |
Sad | 37.6% |
Happy | 4.3% |
Confused | 2.4% |
Angry | 2.3% |
Fear | 2% |
Surprised | 1.9% |
Disgusted | 1.3% |
Feature analysis
Categories
Imagga
nature landscape | 58.2% | |
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cars vehicles | 24.6% | |
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streetview architecture | 9.5% | |
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beaches seaside | 2.1% | |
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paintings art | 1.8% | |
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food drinks | 1.3% | |
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pets animals | 1.1% | |
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Captions
Microsoft
created on 2022-01-22
a vintage photo of a train | 93.4% | |
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a vintage photo of a train on a steel track | 89.2% | |
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a vintage photo of a train on a track | 89.1% | |
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Text analysis
Amazon

Railway

Wiesbadon Railway Station.

Wiesbadon

Station.

Whisbaden ArilevayTatron.

Whisbaden

ArilevayTatron.