Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 99.6 | |
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Human | 99.6 | |
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Bicycle | 99.4 | |
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Bike | 99.4 | |
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Transportation | 99.4 | |
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Vehicle | 99.4 | |
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Person | 99.2 | |
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Person | 99 | |
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Person | 95.3 | |
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Wheel | 94.3 | |
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Machine | 94.3 | |
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Traffic Light | 92.2 | |
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Light | 92.2 | |
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Motorcycle | 87.3 | |
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Road | 86.4 | |
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Person | 81.7 | |
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Tarmac | 76.9 | |
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Asphalt | 76.9 | |
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Motor Scooter | 75.9 | |
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Vespa | 75.9 | |
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Car | 73.5 | |
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Automobile | 73.5 | |
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Moped | 71.7 | |
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Traffic Light | 54.1 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
exercise bike | 55.5 | |
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exercise device | 44.7 | |
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device | 42.1 | |
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equipment | 24.7 | |
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fitness | 20.8 | |
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training | 18.5 | |
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gym | 18.2 | |
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wheeled vehicle | 17.5 | |
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vehicle | 17.3 | |
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strength | 15.9 | |
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exercise | 15.4 | |
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bicycle | 15.3 | |
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health | 14.6 | |
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indoors | 14 | |
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lifestyle | 13.7 | |
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building | 13.7 | |
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industry | 13.7 | |
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conveyance | 12.9 | |
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machine | 12.8 | |
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exercising | 12.5 | |
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steel | 12.4 | |
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bicycle-built-for-two | 12 | |
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industrial | 11.8 | |
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work | 11.8 | |
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power | 11.7 | |
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weights | 11.7 | |
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interior | 11.5 | |
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pump | 11.5 | |
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person | 11.5 | |
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club | 11.3 | |
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sport | 11.1 | |
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active | 10.8 | |
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workout | 10.5 | |
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room | 10.1 | |
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city | 10 | |
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effort | 9.8 | |
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metal | 9.6 | |
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body | 9.6 | |
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window | 9.5 | |
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healthy | 9.4 | |
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energy | 9.2 | |
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transport | 9.1 | |
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chairlift | 9.1 | |
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station | 8.9 | |
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urban | 8.7 | |
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man | 8.7 | |
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architecture | 8.6 | |
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construction | 8.5 | |
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build | 8.5 | |
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door | 8.5 | |
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people | 8.4 | |
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action | 8.3 | |
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sports | 8.3 | |
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gas pump | 8.3 | |
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fit | 8.3 | |
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safety | 8.3 | |
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danger | 8.2 | |
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transportation | 8.1 | |
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worker | 8 | |
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working | 7.9 | |
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weight | 7.8 | |
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tool | 7.7 | |
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muscle | 7.7 | |
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wall | 7.7 | |
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vitality | 7.5 | |
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technology | 7.4 | |
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mechanical device | 7.4 | |
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water | 7.3 | |
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patient | 7.3 | |
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ski tow | 7.2 | |
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recreation | 7.2 | |
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activity | 7.2 | |
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male | 7.1 | |
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life | 7 | |
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modern | 7 | |
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Google
created on 2022-01-09
Bicycle | 97.6 | |
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Wheel | 95.8 | |
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Tire | 92.9 | |
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Vehicle | 86.5 | |
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Bicycle tire | 86 | |
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Motor vehicle | 85.8 | |
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Bicycle wheel | 82.2 | |
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Black-and-white | 81.9 | |
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Sky | 79.1 | |
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Tints and shades | 77.1 | |
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Recreation | 72.4 | |
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Monochrome photography | 71.6 | |
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Road | 70.7 | |
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Monochrome | 70.3 | |
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Asphalt | 70.3 | |
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Bicycle frame | 67.1 | |
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Font | 65.3 | |
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Street | 63.6 | |
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Cycling | 63.4 | |
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Room | 63 | |
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Microsoft
created on 2022-01-09
bicycle | 96.8 | |
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street | 94.9 | |
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text | 94.5 | |
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land vehicle | 93.1 | |
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vehicle | 90 | |
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wheel | 85 | |
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black and white | 81.5 | |
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bicycle wheel | 69.3 | |
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bike | 55.7 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-40 |
Gender | Male, 83.3% |
Angry | 54.9% |
Calm | 37.9% |
Disgusted | 2.9% |
Sad | 1.7% |
Confused | 1.3% |
Fear | 0.5% |
Surprised | 0.4% |
Happy | 0.3% |