Machine Generated Data
Tags
Amazon
created on 2022-03-19
Person | 99.6 | |
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Human | 99.6 | |
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Wheel | 99.6 | |
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Machine | 99.6 | |
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Wheel | 99.3 | |
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Person | 99.2 | |
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Wheel | 98.7 | |
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Person | 98.4 | |
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Person | 98.3 | |
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Person | 98 | |
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Wheel | 96 | |
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Wheel | 93.6 | |
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Bike | 92.1 | |
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Vehicle | 92.1 | |
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Transportation | 92.1 | |
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Person | 87.4 | |
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Wheel | 82.4 | |
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Cyclist | 81.6 | |
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Sport | 81.6 | |
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Sports | 81.6 | |
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Motorcycle | 73.9 | |
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Bicycle | 73.8 | |
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Motorcycle | 69.1 | |
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Wheel | 66.8 | |
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People | 63.9 | |
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Bicycle | 58 | |
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Motorcycle | 50.6 | |
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Clarifai
created on 2023-10-29
people | 99.9 | |
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group together | 99.6 | |
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group | 99.1 | |
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many | 98.6 | |
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adult | 97.7 | |
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child | 97.5 | |
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street | 97.4 | |
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vehicle | 97.3 | |
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home | 97.1 | |
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man | 95.8 | |
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soldier | 95.6 | |
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administration | 94.2 | |
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several | 93.9 | |
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wear | 93.7 | |
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transportation system | 93.1 | |
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military | 92.1 | |
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woman | 91.7 | |
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war | 91.7 | |
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monochrome | 91.3 | |
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biker | 91.1 | |
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Imagga
created on 2022-03-19
building | 37.4 | |
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architecture | 32.4 | |
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city | 32.4 | |
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street | 26.7 | |
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structure | 21.8 | |
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snow | 19.7 | |
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old | 18.8 | |
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travel | 17.6 | |
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exterior | 17.5 | |
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urban | 16.6 | |
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wall | 15.5 | |
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tourism | 14.8 | |
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house | 14.2 | |
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town | 13.9 | |
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window | 13.8 | |
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transportation | 12.6 | |
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door | 12.3 | |
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construction | 12 | |
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balcony | 11.9 | |
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tourist | 11.9 | |
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stone | 11.8 | |
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facade | 11.4 | |
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road | 10.8 | |
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barrier | 10.7 | |
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weather | 10.7 | |
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vehicle | 10.3 | |
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historic | 10.1 | |
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landmark | 9.9 | |
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outdoors | 9.8 | |
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brick | 9.7 | |
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ancient | 9.5 | |
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center | 8.9 | |
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school | 8.9 | |
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metal | 8.9 | |
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home | 8.8 | |
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university | 8.7 | |
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business | 8.5 | |
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wheeled vehicle | 8.5 | |
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monument | 8.4 | |
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gate | 8.4 | |
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people | 8.4 | |
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station | 8.1 | |
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wooden | 7.9 | |
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exteriors | 7.8 | |
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palace | 7.7 | |
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architectural | 7.7 | |
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lamp | 7.6 | |
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graffito | 7.6 | |
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sign | 7.5 | |
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famous | 7.4 | |
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decoration | 7.4 | |
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chair | 7.3 | |
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wheelchair | 7 | |
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Google
created on 2022-03-19
Wheel | 96.8 | |
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Tire | 96.5 | |
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Window | 93.8 | |
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Building | 93.2 | |
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Bicycle | 87.5 | |
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Vehicle | 85.5 | |
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Motor vehicle | 83.2 | |
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Tints and shades | 76.4 | |
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Urban design | 73.7 | |
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Facade | 73.1 | |
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Monochrome photography | 71 | |
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Art | 70.5 | |
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Monochrome | 70.1 | |
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Font | 66.8 | |
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Room | 66.2 | |
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History | 65.2 | |
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Rectangle | 65.1 | |
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Visual arts | 64.3 | |
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Paper product | 64.3 | |
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Vintage clothing | 62.3 | |
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Microsoft
created on 2022-03-19
building | 99.8 | |
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outdoor | 95.5 | |
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text | 94.4 | |
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bicycle | 90.5 | |
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white | 64.4 | |
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land vehicle | 62.5 | |
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vehicle | 59.7 | |
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person | 59 | |
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old | 54.6 | |
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black and white | 50.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 30-40 |
Gender | Male, 92.4% |
Calm | 99.1% |
Happy | 0.2% |
Sad | 0.2% |
Confused | 0.2% |
Surprised | 0.1% |
Angry | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 45-51 |
Gender | Male, 99.8% |
Calm | 99.3% |
Happy | 0.6% |
Surprised | 0% |
Confused | 0% |
Disgusted | 0% |
Sad | 0% |
Angry | 0% |
Fear | 0% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 87.5% |
Calm | 41.1% |
Happy | 38.8% |
Surprised | 7.2% |
Disgusted | 6.2% |
Confused | 2.3% |
Sad | 1.8% |
Angry | 1.7% |
Fear | 0.8% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 99.1% |
Calm | 90.2% |
Happy | 6.5% |
Sad | 0.8% |
Confused | 0.8% |
Surprised | 0.5% |
Disgusted | 0.5% |
Angry | 0.5% |
Fear | 0.2% |

AWS Rekognition
Age | 47-53 |
Gender | Male, 99.6% |
Happy | 52.8% |
Calm | 39.7% |
Confused | 3.7% |
Surprised | 1.1% |
Disgusted | 0.9% |
Sad | 0.8% |
Angry | 0.5% |
Fear | 0.4% |

AWS Rekognition
Age | 45-51 |
Gender | Male, 99.9% |
Calm | 99.9% |
Disgusted | 0.1% |
Sad | 0% |
Angry | 0% |
Confused | 0% |
Happy | 0% |
Surprised | 0% |
Fear | 0% |
Feature analysis
Categories
Imagga
streetview architecture | 68.4% | |
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paintings art | 24% | |
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nature landscape | 2.7% | |
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interior objects | 2.7% | |
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pets animals | 1.1% | |
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Captions
Microsoft
created on 2022-03-19
a man riding a horse in front of a building | 81.2% | |
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a group of people standing in front of a building | 81.1% | |
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a group of people in front of a building | 81% | |
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Text analysis
Amazon

aas

YT3RA2- NAGOX
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YT3RA2-

NAGOX

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