Machine Generated Data
Tags
Amazon
created on 2019-05-29
| Car | 98.7 | |
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| Automobile | 98.7 | |
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| Vehicle | 98.7 | |
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| Transportation | 98.7 | |
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| Train | 93.4 | |
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| Road | 77.8 | |
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| Car | 74.2 | |
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| Bicycle | 72.7 | |
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| Bike | 72.7 | |
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| Locomotive | 67.9 | |
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| Rail | 65.2 | |
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| Train Track | 65.2 | |
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| Railway | 65.2 | |
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| Shipping Container | 60.7 | |
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| Wheel | 60.3 | |
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| Machine | 60.3 | |
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| Asphalt | 58.6 | |
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| Tarmac | 58.6 | |
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| Truck | 55.1 | |
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Clarifai
created on 2019-05-29
| vehicle | 99.1 | |
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| transportation system | 98.8 | |
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| railway | 98.3 | |
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| train | 98.2 | |
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| people | 95.1 | |
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| street | 92.8 | |
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| locomotive | 92.2 | |
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| monochrome | 89.5 | |
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| no person | 88 | |
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| road | 86.9 | |
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| car | 83.5 | |
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| city | 83.3 | |
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| wagon | 79.9 | |
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| carriage | 79.8 | |
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| calamity | 79.4 | |
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| group together | 79.1 | |
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| winter | 77.5 | |
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| vintage | 76.5 | |
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| group | 75.6 | |
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| home | 74.6 | |
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Imagga
created on 2019-05-29
| freight car | 100 | |
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| car | 100 | |
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| wheeled vehicle | 100 | |
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| vehicle | 76.8 | |
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| conveyance | 37.1 | |
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| city | 28.3 | |
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| travel | 28.2 | |
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| sky | 24.9 | |
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| river | 22.3 | |
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| architecture | 20.3 | |
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| town | 19.5 | |
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| water | 19.4 | |
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| urban | 19.3 | |
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| transportation | 18 | |
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| tourism | 17.4 | |
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| sea | 17.2 | |
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| road | 17.2 | |
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| landscape | 17.1 | |
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| cityscape | 16.1 | |
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| house | 15.1 | |
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| snow | 14.3 | |
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| building | 14.3 | |
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| industry | 13.7 | |
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| ship | 13.2 | |
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| boat | 13 | |
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| vacation | 12.3 | |
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| street | 12 | |
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| clouds | 11.8 | |
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| beach | 11.8 | |
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| tourist | 11.8 | |
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| ocean | 11.6 | |
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| traffic | 11.4 | |
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| structure | 11.4 | |
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| coast | 10.8 | |
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| port | 10.6 | |
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| shipping | 10.6 | |
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| panorama | 10.5 | |
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| transport | 10.1 | |
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| industrial | 10 | |
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| landmark | 9.9 | |
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| tower | 9.9 | |
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| night | 9.8 | |
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| highway | 9.7 | |
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| weather | 9.6 | |
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| winter | 9.4 | |
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| holiday | 9.3 | |
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| passenger car | 9.3 | |
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| old | 9.1 | |
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| summer | 9 | |
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| outdoors | 9 | |
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| reflection | 8.9 | |
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| light | 8.7 | |
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| scene | 8.7 | |
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| skyline | 8.6 | |
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| bridge | 8.5 | |
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| buildings | 8.5 | |
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| bay | 8.5 | |
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| tree | 8.5 | |
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| coastline | 8.5 | |
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| church | 8.3 | |
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| billboard | 8.3 | |
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| new | 8.1 | |
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| mountain | 8 | |
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| scenic | 7.9 | |
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| day | 7.9 | |
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| freight | 7.8 | |
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| cargo | 7.8 | |
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| cold | 7.8 | |
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| harbor | 7.7 | |
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| panoramic | 7.7 | |
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| trip | 7.6 | |
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| shore | 7.4 | |
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| mountains | 7.4 | |
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| exterior | 7.4 | |
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| steel | 7.1 | |
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Google
created on 2019-05-29
| Photograph | 94.8 | |
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| Motor vehicle | 90.1 | |
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| Snapshot | 82.9 | |
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| Black-and-white | 78.1 | |
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| Monochrome | 72.4 | |
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| Vehicle | 70.6 | |
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| Photography | 67.8 | |
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| Architecture | 65.5 | |
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| Building | 62.3 | |
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| History | 57.6 | |
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| City | 51.3 | |
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| Street | 51.1 | |
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| Car | 50.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 45-66 |
| Gender | Female, 50.4% |
| Angry | 49.8% |
| Surprised | 49.5% |
| Confused | 49.5% |
| Calm | 49.6% |
| Happy | 49.7% |
| Disgusted | 49.6% |
| Sad | 49.8% |
AWS Rekognition
| Age | 38-59 |
| Gender | Female, 50.4% |
| Disgusted | 49.6% |
| Confused | 49.5% |
| Surprised | 49.6% |
| Calm | 49.5% |
| Happy | 49.6% |
| Angry | 49.7% |
| Sad | 49.9% |
Feature analysis
Categories
Imagga
| cars vehicles | 51.4% | |
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| nature landscape | 35.7% | |
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| beaches seaside | 11.4% | |
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Captions
Microsoft
created on 2019-05-29
| a black and white photo of a truck | 85.1% | |
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| a vintage photo of a truck | 85% | |
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| a black and white photo of a train | 80.3% | |
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Text analysis
Amazon
eos