Machine Generated Data
Tags
Amazon
created on 2019-11-15
Human | 99.8 | |
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Person | 99.8 | |
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Person | 99.7 | |
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Person | 98.9 | |
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Person | 98 | |
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Person | 91.3 | |
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Sport | 90.9 | |
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Sports | 90.9 | |
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Person | 88.6 | |
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Person | 82.3 | |
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Wheel | 82.3 | |
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Machine | 82.3 | |
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Skating | 81.4 | |
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Ice Skating | 76.5 | |
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Person | 76.3 | |
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Transportation | 75.4 | |
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Bicycle | 75.4 | |
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Vehicle | 75.4 | |
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Bike | 75.4 | |
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Bicycle | 73.6 | |
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Person | 66.8 | |
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Person | 66.2 | |
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Person | 61.8 | |
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Rink | 56.2 | |
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Person | 54.6 | |
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Person | 53.1 | |
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Clarifai
created on 2019-11-15
Imagga
created on 2019-11-15
ski | 53.7 | |
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man | 30.2 | |
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snow | 29 | |
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sport | 28.4 | |
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winter | 27.2 | |
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people | 26.2 | |
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male | 24.1 | |
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rope tow | 23.6 | |
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active | 23.6 | |
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ski tow | 23.2 | |
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outdoors | 22.4 | |
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slope | 22 | |
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skier | 19 | |
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cold | 18.9 | |
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beach | 18.4 | |
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conveyance | 18.3 | |
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activity | 17.9 | |
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fun | 17.2 | |
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vacation | 17.2 | |
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person | 17 | |
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mountain | 16.9 | |
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exercise | 16.3 | |
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men | 16.3 | |
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outdoor | 16.1 | |
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weapon | 15.2 | |
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ski slope | 15.1 | |
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leisure | 15 | |
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lifestyle | 13.7 | |
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fitness | 13.6 | |
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recreation | 13.4 | |
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extreme | 13.4 | |
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sky | 13.4 | |
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adult | 13.1 | |
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resort | 12.4 | |
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holiday | 12.2 | |
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pole | 12.1 | |
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action | 12.1 | |
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travel | 12 | |
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one | 11.9 | |
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landscape | 11.9 | |
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skiing | 11.8 | |
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sunset | 11.7 | |
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walking | 11.4 | |
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stick | 11 | |
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sea | 10.9 | |
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sand | 10.7 | |
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hill | 10.3 | |
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outside | 10.3 | |
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day | 10.2 | |
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sports | 10.2 | |
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athlete | 10 | |
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city | 10 | |
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silhouette | 9.9 | |
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human | 9.7 | |
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running | 9.6 | |
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professional | 9.6 | |
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boy | 9.6 | |
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high | 9.5 | |
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walk | 9.5 | |
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geological formation | 9.1 | |
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guy | 9.1 | |
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backpack | 8.8 | |
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top | 8.3 | |
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street | 8.3 | |
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sun | 8.1 | |
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water | 8 | |
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women | 7.9 | |
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sunny | 7.8 | |
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ice | 7.7 | |
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summer | 7.7 | |
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adventure | 7.6 | |
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sports equipment | 7.5 | |
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happy | 7.5 | |
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ocean | 7.5 | |
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business | 7.3 | |
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shadow | 7.2 | |
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businessman | 7.1 | |
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season | 7 | |
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Google
created on 2019-11-15
Photograph | 95 | |
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Snapshot | 85.2 | |
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Black-and-white | 78.1 | |
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Photography | 67.8 | |
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Skateboard | 63.4 | |
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Recreation | 59.4 | |
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Skating | 56.4 | |
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Picture frame | 56.2 | |
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Ice skating | 53.4 | |
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Roller skating | 51 | |
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Style | 51 | |
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Art | 50.2 | |
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Microsoft
created on 2019-11-15
sky | 99.4 | |
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footwear | 95.6 | |
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person | 89.9 | |
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text | 89.8 | |
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outdoor | 85.4 | |
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athletic game | 83.2 | |
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clothing | 72.5 | |
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sport | 72.1 | |
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black and white | 68.4 | |
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skateboard | 50.6 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 37-55 |
Gender | Male, 50.3% |
Disgusted | 49.5% |
Confused | 49.5% |
Angry | 49.7% |
Sad | 49.8% |
Happy | 49.5% |
Surprised | 49.6% |
Calm | 49.9% |
Fear | 49.5% |