Machine Generated Data
Tags
Amazon
created on 2022-03-05
Wheel | 99.8 | |
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Machine | 99.8 | |
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Person | 99 | |
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Human | 99 | |
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Person | 99 | |
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Person | 98.7 | |
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Person | 98 | |
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Bicycle | 96.2 | |
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Bike | 96.2 | |
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Vehicle | 96.2 | |
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Transportation | 96.2 | |
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Person | 92.9 | |
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Person | 91 | |
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Person | 90.4 | |
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Spoke | 84.5 | |
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Wheel | 81.6 | |
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Clothing | 65.4 | |
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Apparel | 65.4 | |
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Person | 65.1 | |
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Face | 61.6 | |
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Tire | 61.2 | |
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Girl | 60.8 | |
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Female | 60.8 | |
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People | 57.8 | |
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Cyclist | 56.7 | |
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Sport | 56.7 | |
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Sports | 56.7 | |
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Crowd | 56.1 | |
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Person | 46.3 | |
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Clarifai
created on 2023-10-28
Imagga
created on 2022-03-05
carriage | 37.7 | |
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bicycle | 24.7 | |
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old | 24.4 | |
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wheel | 24.1 | |
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decoration | 19.6 | |
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cart | 18.3 | |
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bike | 17.6 | |
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graffito | 17.2 | |
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vehicle | 15.3 | |
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transportation | 15.2 | |
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city | 15 | |
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street | 14.7 | |
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wall | 14.7 | |
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wheeled vehicle | 13.8 | |
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transport | 13.7 | |
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antique | 13 | |
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cycle | 12.7 | |
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travel | 12.7 | |
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retro | 12.3 | |
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ride | 12.2 | |
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support | 12.2 | |
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vintage | 11.6 | |
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seat | 11.6 | |
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outdoor | 11.5 | |
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device | 11.4 | |
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spinning wheel | 11.3 | |
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color | 10.6 | |
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park | 10.5 | |
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spoke | 10.2 | |
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holiday | 10 | |
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urban | 9.6 | |
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man | 9.4 | |
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colorful | 9.3 | |
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spinning machine | 9.1 | |
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black | 9 | |
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tricycle | 8.6 | |
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horse | 8.5 | |
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male | 8.5 | |
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sky | 8.3 | |
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fun | 8.2 | |
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vacation | 8.2 | |
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tourist | 8.1 | |
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history | 8 | |
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celebration | 8 | |
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stone | 7.9 | |
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wheelchair | 7.9 | |
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pedal | 7.9 | |
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people | 7.8 | |
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ancient | 7.8 | |
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basket | 7.6 | |
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outdoors | 7.5 | |
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frame | 7.5 | |
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building | 7.4 | |
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tourism | 7.4 | |
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historic | 7.3 | |
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aged | 7.2 | |
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structure | 7.1 | |
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summer | 7.1 | |
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day | 7.1 | |
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Google
created on 2022-03-05
Wheel | 95.8 | |
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Vehicle | 90.3 | |
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Purple | 88.5 | |
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Motor vehicle | 86 | |
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Mode of transport | 84.7 | |
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Style | 83.8 | |
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Pink | 83.7 | |
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Magenta | 80 | |
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Adaptation | 79.4 | |
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People | 77.9 | |
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Art | 77.7 | |
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Tints and shades | 77.4 | |
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Font | 77.3 | |
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Beauty | 75.6 | |
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Monochrome | 72.4 | |
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Monochrome photography | 71.9 | |
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Carriage | 71.9 | |
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Event | 70.8 | |
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Vintage clothing | 67.8 | |
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Visual arts | 66.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 37-45 |
Gender | Male, 99.9% |
Confused | 60.9% |
Disgusted | 24% |
Angry | 10.3% |
Calm | 3.2% |
Surprised | 0.6% |
Happy | 0.5% |
Sad | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 75.9% |
Calm | 58.3% |
Happy | 18.6% |
Confused | 11.6% |
Angry | 4.8% |
Sad | 4.7% |
Disgusted | 1.1% |
Surprised | 0.6% |
Fear | 0.3% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
macro flowers | 67% | |
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events parties | 14.4% | |
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paintings art | 13.1% | |
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food drinks | 2.6% | |
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Captions
Microsoft
created on 2022-03-05
a bicycle in front of a house | 85.4% | |
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a bicycle parked in front of a building | 75.5% | |
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a bicycle parked in front of a house | 75.4% | |
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Text analysis
Amazon

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SCISSOR

TOOLS

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