Machine Generated Data
Tags
Clarifai
| people | 99.9 | |
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| group | 99.7 | |
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| many | 99.4 | |
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| war | 98.9 | |
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| group together | 98.9 | |
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| military | 98.8 | |
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| adult | 98.2 | |
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| vehicle | 98 | |
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| transportation system | 97.4 | |
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| man | 95.5 | |
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| no person | 95.4 | |
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| train | 94.6 | |
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| soldier | 94.3 | |
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| grinder | 94.1 | |
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| skirmish | 93.9 | |
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| several | 92.4 | |
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| watercraft | 92.1 | |
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| industry | 91.2 | |
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| administration | 89.9 | |
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| weapon | 89.7 | |
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Imagga
| freight car | 57.4 | |
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| car | 46.7 | |
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| wheeled vehicle | 35.5 | |
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| industry | 35 | |
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| industrial | 30.9 | |
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| factory | 26.2 | |
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| vehicle | 25.4 | |
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| steel | 25.2 | |
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| station | 20.8 | |
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| power | 20.1 | |
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| metal | 16.9 | |
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| building | 16.4 | |
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| plant | 15.8 | |
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| heavy | 15.3 | |
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| equipment | 15.2 | |
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| engineering | 15.2 | |
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| dairy | 14.6 | |
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| pollution | 14.4 | |
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| modern | 14 | |
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| urban | 14 | |
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| train | 13.5 | |
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| energy | 13.4 | |
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| architecture | 13.4 | |
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| transportation | 12.5 | |
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| city | 12.5 | |
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| machine | 12.4 | |
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| interior | 12.4 | |
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| conveyance | 12 | |
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| rail | 11.8 | |
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| manufacturing | 11.7 | |
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| winery | 11.7 | |
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| inside | 11 | |
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| vessel | 11 | |
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| railroad | 10.8 | |
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| structure | 10.8 | |
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| railway | 10.8 | |
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| waste | 10.7 | |
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| water | 10.7 | |
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| fuel | 10.6 | |
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| device | 10.4 | |
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| construction | 10.3 | |
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| iron | 10.3 | |
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| sky | 10.2 | |
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| container | 10.1 | |
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| transport | 10 | |
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| tank | 10 | |
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| pipes | 9.8 | |
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| cables | 9.8 | |
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| pipe | 9.7 | |
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| concrete | 9.6 | |
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| storage | 9.5 | |
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| house | 9.2 | |
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| business | 9.1 | |
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| environment | 9 | |
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| materials | 8.8 | |
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| mechanic | 8.8 | |
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| production | 8.7 | |
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| mechanical | 8.7 | |
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| steam | 8.7 | |
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| tube | 8.7 | |
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| electricity | 8.5 | |
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| travel | 8.4 | |
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| old | 8.4 | |
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| technology | 8.2 | |
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| laundry | 8.1 | |
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| boiler | 8.1 | |
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| lines | 8.1 | |
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| fabricate | 7.9 | |
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| work | 7.8 | |
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| iron lung | 7.8 | |
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| district | 7.8 | |
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| nuclear | 7.8 | |
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| supply | 7.7 | |
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| gas | 7.7 | |
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| area | 7.6 | |
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| room | 7.4 | |
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| oil | 7.4 | |
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| washer | 7.3 | |
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| wagon | 7.2 | |
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| tower | 7.2 | |
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| line | 7 | |
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| machinery | 7 | |
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Feature analysis
Amazon
| Train | 93.7% | |
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Captions
Microsoft
| a black and white photo of an old building | 75.5% | |
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| a black and white photo of a building | 75.4% | |
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| a black and white photo of a train | 44.8% | |
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Text analysis
Amazon
Room
BOILER Room
BOILER
BOILER ROorm
BOILER
ROorm