Machine Generated Data
Tags
Amazon
created on 2019-05-23
Person | 99.8 | |
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Human | 99.8 | |
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Locomotive | 99.6 | |
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Transportation | 99.6 | |
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Vehicle | 99.6 | |
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Person | 99.5 | |
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Train | 98.3 | |
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Person | 98.1 | |
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Machine | 94.7 | |
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Steam Engine | 94.4 | |
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Engine | 94.4 | |
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Motor | 94.4 | |
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Clothing | 59.4 | |
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Shorts | 59.4 | |
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Apparel | 59.4 | |
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Train Track | 57.7 | |
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Railway | 57.7 | |
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Rail | 57.7 | |
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Person | 49.9 | |
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Clarifai
created on 2019-05-23
photograph | 99.5 | |
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negative | 99.4 | |
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train | 99.1 | |
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movie | 99 | |
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vintage | 99 | |
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cinematography | 98.9 | |
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filmstrip | 98.7 | |
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vehicle | 98.1 | |
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retro | 97.5 | |
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military | 97.4 | |
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railway | 96.9 | |
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old | 96.9 | |
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transportation system | 96.3 | |
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locomotive | 95.7 | |
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monochrome | 95.4 | |
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people | 94 | |
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antique | 93.1 | |
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man | 91.2 | |
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track | 90.2 | |
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street | 88.7 | |
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Imagga
created on 2019-05-23
steam locomotive | 100 | |
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locomotive | 100 | |
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wheeled vehicle | 47.7 | |
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film | 35.7 | |
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vehicle | 30 | |
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old | 27.2 | |
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steam | 25.2 | |
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vintage | 24.8 | |
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negative | 24.1 | |
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train | 24 | |
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boiler | 23.4 | |
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railway | 22.5 | |
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transportation | 21.5 | |
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railroad | 20.6 | |
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transport | 20.1 | |
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movie | 18.9 | |
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engine | 18.3 | |
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retro | 18 | |
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frame | 17.5 | |
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track | 17.4 | |
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camera | 16.9 | |
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vessel | 16.8 | |
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black | 16.2 | |
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power | 15.9 | |
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smoke | 14.9 | |
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cinema | 14.6 | |
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strip | 14.6 | |
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border | 14.5 | |
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travel | 14.1 | |
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slide | 13.7 | |
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screen | 13.1 | |
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antique | 13 | |
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industry | 12.8 | |
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grunge | 12.8 | |
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container | 12 | |
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historic | 11.9 | |
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rail | 11.8 | |
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photographic | 11.8 | |
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outside | 11.1 | |
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texture | 11.1 | |
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35mm | 10.8 | |
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damaged | 10.5 | |
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urban | 10.5 | |
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outdoors | 10.4 | |
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art | 10.4 | |
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cannon | 10.2 | |
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graphic | 10.2 | |
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sky | 10.2 | |
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structure | 10.2 | |
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city | 10 | |
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dirty | 9.9 | |
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bridge | 9.9 | |
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photographic paper | 9.8 | |
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video | 9.7 | |
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roll | 9.5 | |
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entertainment | 9.2 | |
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aged | 9 | |
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filmstrip | 8.9 | |
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steel | 8.8 | |
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pollution | 8.7 | |
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photograph | 8.6 | |
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reel | 8.6 | |
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photography | 8.5 | |
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design | 8.4 | |
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industrial | 8.2 | |
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digital | 8.1 | |
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history | 8 | |
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architecture | 7.8 | |
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ancient | 7.8 | |
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gun | 7.8 | |
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empty | 7.7 | |
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great | 7.7 | |
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motion-picture film | 7.6 | |
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coal | 7.5 | |
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vacation | 7.4 | |
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banner | 7.4 | |
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river | 7.1 | |
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machine | 7.1 | |
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Google
created on 2019-05-23
Photograph | 96.1 | |
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Photography | 70.6 | |
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Stock photography | 69.8 | |
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Vehicle | 67.5 | |
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Black-and-white | 56.4 | |
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Microsoft
created on 2019-05-23
train | 94 | |
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outdoor | 92.8 | |
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vehicle | 87.2 | |
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locomotive | 85.1 | |
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railroad | 82 | |
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land vehicle | 74 | |
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black | 71.1 | |
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black and white | 70.5 | |
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steam | 66.6 | |
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old | 58 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 50% |
Disgusted | 49.5% |
Calm | 49.7% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 50.1% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
paintings art | 98.4% | |
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Captions
Microsoft
created on 2019-05-23
a black and white photo of a train | 85.8% | |
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an old photo of a train | 85.7% | |
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old photo of a train | 84.6% | |
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Text analysis
Amazon

CRO CO

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