Machine Generated Data
Tags
Amazon
created on 2019-05-29
| Railway | 99.9 | |
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| Rail | 99.9 | |
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| Train Track | 99.9 | |
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| Transportation | 99.9 | |
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| Human | 85.4 | |
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| Person | 85.4 | |
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| City | 77.8 | |
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| Building | 77.8 | |
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| Urban | 77.8 | |
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| Town | 77.8 | |
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| Metropolis | 77.8 | |
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| Train | 74.9 | |
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| Vehicle | 74.9 | |
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| Light | 67.3 | |
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| Traffic Light | 67.3 | |
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Clarifai
created on 2019-05-29
| railway | 99.5 | |
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| transportation system | 99.4 | |
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| train | 99.2 | |
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| vehicle | 98.6 | |
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| no person | 98 | |
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| people | 97.7 | |
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| street | 95.6 | |
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| road | 94.2 | |
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| locomotive | 93.9 | |
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| group | 89.5 | |
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| group together | 89.4 | |
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| monochrome | 89.3 | |
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| many | 84 | |
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| wagon | 83.8 | |
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| bridge | 82.8 | |
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| war | 82.6 | |
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| light | 82.5 | |
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| travel | 81.9 | |
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| tram | 81.2 | |
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| guidance | 80.5 | |
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Imagga
created on 2019-05-29
| track | 80.3 | |
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| city | 52.4 | |
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| intersection | 49.6 | |
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| urban | 35 | |
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| architecture | 33.1 | |
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| building | 30.2 | |
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| road | 28 | |
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| aerial | 26.2 | |
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| skyline | 25.7 | |
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| travel | 25.4 | |
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| cityscape | 24.6 | |
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| buildings | 24.6 | |
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| night | 23.1 | |
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| sky | 23 | |
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| traffic | 21.9 | |
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| highway | 21.2 | |
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| street | 21.2 | |
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| downtown | 20.2 | |
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| skyscraper | 20 | |
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| town | 16.7 | |
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| transportation | 16.1 | |
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| landscape | 15.6 | |
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| evening | 14.9 | |
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| lights | 14.8 | |
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| modern | 14.7 | |
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| cars | 14.7 | |
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| landmark | 14.4 | |
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| tower | 14.3 | |
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| skyscrapers | 13.7 | |
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| center | 13.6 | |
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| sunset | 13.5 | |
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| tourism | 13.2 | |
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| metropolis | 12.7 | |
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| light | 12.7 | |
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| panorama | 12.4 | |
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| scene | 12.1 | |
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| famous | 12.1 | |
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| bridge | 12 | |
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| speed | 11.9 | |
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| transport | 11.9 | |
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| freeway | 11.8 | |
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| dark | 11.7 | |
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| district | 11.6 | |
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| above | 11.6 | |
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| business district | 11.3 | |
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| construction | 11.1 | |
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| tourist | 10.9 | |
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| motorway | 10.8 | |
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| river | 10.7 | |
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| car | 10.6 | |
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| roof | 10.5 | |
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| office | 10.4 | |
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| capital | 10.4 | |
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| motion | 10.3 | |
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| old | 9.8 | |
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| dusk | 9.5 | |
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| drive | 9.5 | |
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| vehicle | 9.2 | |
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| business | 9.1 | |
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| horizon | 9 | |
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| vacation | 9 | |
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| history | 8.9 | |
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| high | 8.7 | |
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| line | 8.6 | |
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| church | 8.3 | |
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| exterior | 8.3 | |
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| outdoors | 8.2 | |
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| square | 8.1 | |
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| religion | 8.1 | |
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| way | 7.9 | |
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| outdoor | 7.7 | |
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| reflection | 7.3 | |
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| structure | 7.2 | |
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| lines | 7.2 | |
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| financial | 7.1 | |
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| sea | 7 | |
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| life | 7 | |
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| scenic | 7 | |
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Google
created on 2019-05-29
| Transport | 96.5 | |
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| Black-and-white | 85.4 | |
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| Metropolitan area | 85 | |
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| Urban area | 83.5 | |
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| Metropolis | 82.6 | |
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| Mode of transport | 80.8 | |
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| Railway | 79.8 | |
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| Track | 78.7 | |
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| Thoroughfare | 73.1 | |
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| Monochrome | 72.4 | |
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| City | 69.7 | |
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| Vehicle | 62.2 | |
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| Monochrome photography | 57.8 | |
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| Nonbuilding structure | 55.3 | |
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| Building | 53.4 | |
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| Metal | 51.1 | |
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| Style | 51 | |
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Color Analysis
Feature analysis
Amazon
Categories
Imagga
| streetview architecture | 96% | |
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| cars vehicles | 2.4% | |
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Captions
Microsoft
created on 2019-05-29
| a train that is sitting on a bench | 25.8% | |
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| a black and white photo of a bridge | 25.7% | |
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| a black and white photo of a city | 25.6% | |
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Text analysis
Amazon
2830322
2MIAST
2MAOITA
NOE IRENG
NOE IRENG 1FENG
1FENG
RASOR
RASOR W3CAIS
W3CAIS