Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
tramway | 66.1 | |
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conveyance | 61 | |
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carriage | 37.7 | |
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vehicle | 32.6 | |
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car | 32 | |
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transportation | 31.4 | |
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wheelchair | 27.2 | |
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wheeled vehicle | 26.6 | |
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wheel | 25.5 | |
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old | 23.7 | |
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street | 22.1 | |
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transport | 21.9 | |
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bicycle | 19.6 | |
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door | 17.8 | |
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sliding door | 16.9 | |
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seat | 15.9 | |
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city | 15.8 | |
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passenger | 15.7 | |
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bike | 15.6 | |
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chair | 15.4 | |
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outside | 14.5 | |
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tricycle | 14.4 | |
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travel | 14.1 | |
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road | 13.5 | |
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man | 13.4 | |
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outdoors | 13.4 | |
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bus | 12.9 | |
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disabled | 12.8 | |
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ride | 12.6 | |
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passenger car | 12.4 | |
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drive | 12.3 | |
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park | 11.5 | |
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urban | 11.4 | |
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people | 11.2 | |
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sport | 10.7 | |
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movable barrier | 10.2 | |
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male | 9.9 | |
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disability | 9.9 | |
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cart | 9.8 | |
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health | 9.7 | |
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sick | 9.7 | |
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senior | 9.4 | |
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help | 9.3 | |
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tourist | 9.1 | |
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care | 9.1 | |
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wheels | 8.8 | |
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train | 8.7 | |
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retired | 8.7 | |
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retirement | 8.6 | |
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horse | 8.5 | |
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model t | 8.5 | |
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house | 8.4 | |
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person | 8.3 | |
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vintage | 8.3 | |
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tourism | 8.2 | |
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active | 8.1 | |
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metal | 8 | |
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handicapped | 7.9 | |
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motor vehicle | 7.9 | |
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railway | 7.8 | |
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cycle | 7.8 | |
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tire | 7.8 | |
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barrier | 7.8 | |
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support | 7.7 | |
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driving | 7.7 | |
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elderly | 7.7 | |
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outdoor | 7.6 | |
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illness | 7.6 | |
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traffic | 7.6 | |
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hospital | 7.5 | |
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streetcar | 7.5 | |
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vacation | 7.4 | |
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furniture | 7.3 | |
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adult | 7.1 | |
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to | 7.1 | |
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country | 7 | |
|
Google
created on 2019-05-29
Vehicle | 99 | |
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Motor vehicle | 97.4 | |
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Mode of transport | 93.8 | |
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Transport | 83.5 | |
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Car | 61 | |
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Cart | 59.7 | |
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Carriage | 57.3 | |
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Vintage car | 50.6 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 19-36 |
Gender | Male, 54.3% |
Angry | 45.3% |
Sad | 45.9% |
Disgusted | 50% |
Happy | 45.3% |
Confused | 46.4% |
Surprised | 45.3% |
Calm | 46.7% |
Feature analysis
Text analysis
Amazon
MA3A
25h00483
35/
ho5993
ho5993