Machine Generated Data
Tags
Amazon
created on 2019-06-05
Path | 99.7 | |
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Person | 99.3 | |
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Human | 99.3 | |
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Street | 99 | |
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Town | 99 | |
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Road | 99 | |
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Urban | 99 | |
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Building | 99 | |
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City | 99 | |
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Walkway | 96.6 | |
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Neighborhood | 93.5 | |
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Sidewalk | 92.4 | |
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Pavement | 92.4 | |
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Pedestrian | 86.4 | |
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Metropolis | 84.1 | |
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Vehicle | 75 | |
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Transportation | 75 | |
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Alleyway | 63.3 | |
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Alley | 63.3 | |
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Wall | 58.6 | |
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High Rise | 58.3 | |
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Apartment Building | 55.5 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
warehouse | 66.7 | |
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building | 52.3 | |
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architecture | 49.5 | |
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old | 39.1 | |
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street | 37.8 | |
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city | 33.3 | |
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window | 32.3 | |
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urban | 28.9 | |
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wall | 28.2 | |
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house | 27.9 | |
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town | 25.1 | |
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travel | 24.7 | |
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exterior | 23.1 | |
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brick | 22 | |
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stone | 22 | |
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ancient | 20.8 | |
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freight car | 20 | |
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sky | 19.8 | |
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structure | 19 | |
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car | 18.4 | |
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houses | 17.5 | |
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door | 17.3 | |
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prison | 16.9 | |
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tourism | 16.5 | |
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construction | 16.3 | |
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historic | 15.6 | |
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wheeled vehicle | 15.5 | |
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tourist | 15.4 | |
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buildings | 15.1 | |
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arch | 14.6 | |
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windows | 14.4 | |
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history | 14.3 | |
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alley | 13.8 | |
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correctional institution | 13.6 | |
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medieval | 13.4 | |
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home | 12.8 | |
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factory | 12.7 | |
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vintage | 12.4 | |
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lamp | 12.4 | |
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industrial | 11.8 | |
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road | 11.8 | |
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roof | 11.5 | |
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scene | 11.3 | |
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balcony | 10.9 | |
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aged | 10.9 | |
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cobblestone | 10.9 | |
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pavement | 10.8 | |
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village | 10.6 | |
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obsolete | 10.6 | |
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vehicle | 10.4 | |
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historical | 10.4 | |
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empty | 10.3 | |
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graffito | 10.3 | |
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church | 10.2 | |
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penal institution | 10.2 | |
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cinema | 10.2 | |
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abandoned | 9.8 | |
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antique | 9.5 | |
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cityscape | 9.5 | |
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industry | 9.4 | |
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landmark | 9 | |
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tower | 9 | |
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narrow | 8.9 | |
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metal | 8.9 | |
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wooden | 8.8 | |
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place | 8.4 | |
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traditional | 8.3 | |
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dirty | 8.1 | |
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theater | 8.1 | |
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shadow | 8.1 | |
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light | 8 | |
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way | 7.8 | |
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institution | 7.8 | |
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architectural | 7.7 | |
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downtown | 7.7 | |
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wood | 7.5 | |
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conveyance | 7.4 | |
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transportation | 7.2 | |
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Google
created on 2019-06-05
Neighbourhood | 89.1 | |
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Town | 86.1 | |
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Architecture | 85 | |
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Street | 84.2 | |
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House | 83.5 | |
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Wall | 83.2 | |
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Building | 82.5 | |
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Urban area | 80.3 | |
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Residential area | 76.3 | |
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Infrastructure | 75.1 | |
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Monochrome | 74.2 | |
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Road | 71.3 | |
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Black-and-white | 68.3 | |
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Facade | 68 | |
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History | 66.1 | |
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City | 64.2 | |
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Home | 63.7 | |
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Window | 62.5 | |
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Lane | 60.7 | |
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Tints and shades | 51.7 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 15-25 |
Gender | Female, 50.3% |
Calm | 49.8% |
Angry | 49.6% |
Confused | 49.5% |
Sad | 50% |
Happy | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Feature analysis
Amazon
Person | 99.3% | |
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