Machine Generated Data
Tags
Amazon
created on 2023-10-05
| Terminal | 99.5 | |
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| Railway | 98.6 | |
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| Train | 98.6 | |
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| Train Station | 98.6 | |
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| Transportation | 98.6 | |
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| Vehicle | 98.6 | |
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| Person | 97.5 | |
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| Outdoors | 84.4 | |
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| Road | 81.4 | |
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| Nature | 78.1 | |
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| Person | 71.6 | |
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| Person | 68.7 | |
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| Person | 65.6 | |
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| Bicycle | 62.7 | |
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| Countryside | 57.7 | |
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| Architecture | 56.1 | |
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| Building | 56.1 | |
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| Hut | 56.1 | |
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| Rural | 56.1 | |
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| Neighborhood | 55.6 | |
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| Housing | 55.1 | |
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Clarifai
created on 2018-05-10
Imagga
created on 2023-10-05
| steam locomotive | 59.5 | |
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| locomotive | 49.9 | |
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| expressway | 47.5 | |
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| wheeled vehicle | 42.2 | |
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| road | 36.2 | |
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| car | 31.2 | |
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| sky | 29.4 | |
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| vehicle | 29.1 | |
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| landscape | 27.5 | |
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| snow | 20.6 | |
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| clouds | 20.3 | |
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| highway | 20.3 | |
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| city | 20 | |
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| trees | 19.6 | |
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| travel | 19 | |
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| transportation | 18.8 | |
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| track | 17.7 | |
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| truck | 17.1 | |
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| street | 16.6 | |
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| passenger car | 16.2 | |
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| rural | 15 | |
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| scenic | 14.1 | |
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| transport | 12.8 | |
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| outdoors | 12.7 | |
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| grass | 12.7 | |
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| architecture | 12.5 | |
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| park | 12.4 | |
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| drive | 12.3 | |
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| urban | 12.2 | |
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| winter | 11.9 | |
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| asphalt | 11.7 | |
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| driving | 11.6 | |
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| tree | 11.5 | |
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| field | 10.9 | |
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| scenery | 10.8 | |
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| freeway | 10.8 | |
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| water | 10.7 | |
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| traffic | 10.5 | |
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| trailer truck | 10.4 | |
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| cloud | 10.3 | |
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| weather | 10.3 | |
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| summer | 9.7 | |
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| cold | 9.5 | |
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| outdoor | 9.2 | |
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| speed | 9.2 | |
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| countryside | 9.1 | |
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| lane | 8.8 | |
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| forest | 8.7 | |
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| scene | 8.7 | |
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| day | 8.6 | |
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| line | 8.6 | |
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| industry | 8.5 | |
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| trip | 8.5 | |
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| hill | 8.4 | |
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| town | 8.4 | |
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| mountains | 8.3 | |
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| ocean | 8.3 | |
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| tourism | 8.3 | |
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| horizon | 8.1 | |
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| freight car | 8.1 | |
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| light | 8 | |
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| snowy | 7.8 | |
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| plant | 7.7 | |
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| old | 7.7 | |
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| cloudy | 7.5 | |
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| vacation | 7.4 | |
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| river | 7.1 | |
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| sea | 7 | |
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Google
created on 2018-05-10
| transport | 96.9 | |
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| track | 96.6 | |
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| town | 91.7 | |
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| rail transport | 90.5 | |
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| road | 89.5 | |
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| lane | 87.7 | |
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| black and white | 87.1 | |
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| residential area | 82.6 | |
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| village | 80.7 | |
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| highland | 78.6 | |
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| suburb | 77.1 | |
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| monochrome | 70.4 | |
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| sky | 69 | |
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| mountain | 68.7 | |
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| monochrome photography | 68.3 | |
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| hill station | 67.8 | |
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| tree | 63.4 | |
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| train | 57.8 | |
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| street | 56.7 | |
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| history | 52.1 | |
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Color Analysis
Feature analysis
Categories
Imagga
| nature landscape | 80.7% | |
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| beaches seaside | 12.3% | |
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| streetview architecture | 3.3% | |
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| cars vehicles | 3.3% | |
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Captions
Microsoft
created on 2018-05-10
| a black and white photo of a train | 85.6% | |
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| a vintage photo of a train on a track | 83.1% | |
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| a vintage photo of a railroad track | 83% | |
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Text analysis
Amazon
Harvard
College
inverted
and
Art
University
(Harvard
neg
of
President and Fellows of Harvard College (Harvard University Art Museums)
Fellows
Museums)
fm
P1970.4280.0004 inverted fm neg
President
P1970.4280.0004
O President and Fellows of Harvard College (Harvard University Art Museums)
P1970.4280.0004 inverted fm neg
President
Harvard
(Harvard
Art
P1970.4280.0004
fm
O
and
Fellows
of
College
University
Museums)
inverted
neg