Machine Generated Data
Tags
Amazon
created on 2021-04-05
Person | 96.4 | |
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Human | 96.4 | |
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Pedestrian | 95.5 | |
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Person | 94.6 | |
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Road | 93.6 | |
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Tarmac | 92.3 | |
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Asphalt | 92.3 | |
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Person | 90.5 | |
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Person | 88.9 | |
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Person | 88.8 | |
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Field | 81.1 | |
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People | 79 | |
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Building | 78.7 | |
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Street | 69.2 | |
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Urban | 69.2 | |
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City | 69.2 | |
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Town | 69.2 | |
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Skateboard | 67.9 | |
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Sport | 67.9 | |
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Sports | 67.9 | |
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Photography | 60.6 | |
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Photo | 60.6 | |
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Corridor | 58.4 | |
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Architecture | 57.1 | |
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Zebra Crossing | 55.9 | |
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Clarifai
created on 2021-04-05
people | 99.9 | |
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group together | 99.2 | |
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adult | 97.5 | |
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two | 97.2 | |
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one | 96.6 | |
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many | 96.6 | |
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child | 95.5 | |
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step | 95.1 | |
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athlete | 94.3 | |
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man | 93.5 | |
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group | 93.1 | |
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competition | 92.6 | |
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wear | 90.2 | |
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three | 89.9 | |
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woman | 89.6 | |
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street | 88.9 | |
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recreation | 87.7 | |
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boy | 85.1 | |
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vehicle | 84.1 | |
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transportation system | 83.3 | |
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Imagga
created on 2021-04-05
skateboard | 25.9 | |
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wheeled vehicle | 21.9 | |
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window screen | 20.1 | |
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board | 20 | |
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street | 18.4 | |
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screen | 18.1 | |
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sport | 17.6 | |
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people | 16.7 | |
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vehicle | 16.7 | |
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man | 16.2 | |
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outdoor | 15.3 | |
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road | 14.4 | |
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sill | 14.4 | |
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outdoors | 14.2 | |
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barrier | 13.8 | |
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support | 13.4 | |
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old | 13.2 | |
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wall | 13.2 | |
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protective covering | 13.1 | |
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city | 12.5 | |
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walking | 12.3 | |
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urban | 12.2 | |
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conveyance | 12.2 | |
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covering | 12 | |
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speed | 11.9 | |
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game | 11.6 | |
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structural member | 11.4 | |
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line | 11.1 | |
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grunge | 11.1 | |
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summer | 10.9 | |
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exercise | 10.9 | |
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fitness | 10.8 | |
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tennis | 10.7 | |
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court | 10.7 | |
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track | 10.7 | |
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travel | 10.6 | |
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walk | 10.5 | |
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adult | 10.3 | |
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device | 10.3 | |
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action | 10.2 | |
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structure | 10.1 | |
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active | 9.9 | |
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transportation | 9.9 | |
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recreation | 9.9 | |
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athlete | 9.8 | |
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person | 9.5 | |
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motion | 9.4 | |
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day | 9.4 | |
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windowsill | 8.8 | |
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obstruction | 8.8 | |
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sidewalk | 8.7 | |
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light | 8.7 | |
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step | 8.6 | |
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empty | 8.6 | |
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black | 8.4 | |
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texture | 8.3 | |
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sports | 8.3 | |
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leisure | 8.3 | |
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building | 8.2 | |
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competition | 8.2 | |
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alone | 8.2 | |
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dirty | 8.1 | |
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shadow | 8.1 | |
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lifestyle | 7.9 | |
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doormat | 7.9 | |
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antique | 7.8 | |
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space | 7.8 | |
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play | 7.8 | |
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running | 7.7 | |
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fun | 7.5 | |
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vintage | 7.4 | |
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retro | 7.4 | |
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playing | 7.3 | |
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aged | 7.2 | |
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history | 7.2 | |
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life | 7.1 | |
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male | 7.1 | |
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Google
created on 2021-04-05
Black | 89.5 | |
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Black-and-white | 85.2 | |
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Style | 83.9 | |
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Asphalt | 82.8 | |
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Line | 81.7 | |
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Rectangle | 79.9 | |
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Tints and shades | 77.2 | |
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Road | 74.1 | |
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Monochrome photography | 73.7 | |
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Monochrome | 70.9 | |
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Font | 67 | |
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Room | 65.6 | |
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Recreation | 64.6 | |
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Stock photography | 61.7 | |
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Shadow | 61.7 | |
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Vintage clothing | 59.9 | |
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Pedestrian | 59.3 | |
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Concrete | 56.7 | |
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Visual arts | 56.2 | |
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Street | 53 | |
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Microsoft
created on 2021-04-05
person | 87.7 | |
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text | 84.8 | |
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black and white | 83 | |
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clothing | 75 | |
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water | 54.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 3-11 |
Gender | Female, 52.3% |
Calm | 47.5% |
Sad | 41.4% |
Happy | 6.4% |
Surprised | 1.7% |
Angry | 1.1% |
Confused | 0.8% |
Disgusted | 0.7% |
Fear | 0.5% |
Feature analysis
Amazon
Person | 96.4% | |
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Skateboard | 67.9% | |
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