Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 98.9 | |
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Human | 98.9 | |
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Person | 98.2 | |
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Person | 92.7 | |
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Person | 80.1 | |
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Person | 79.3 | |
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Person | 77.2 | |
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Text | 76.2 | |
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Amusement Park | 72.7 | |
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Theme Park | 72.3 | |
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Crowd | 72.2 | |
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Person | 72 | |
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Person | 60.6 | |
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Musician | 60 | |
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Musical Instrument | 60 | |
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Silhouette | 56.9 | |
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People | 56.5 | |
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Poster | 56.5 | |
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Advertisement | 56.5 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
city | 23.3 | |
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building | 21.2 | |
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architecture | 21.2 | |
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barbershop | 20.2 | |
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shop | 20 | |
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car | 16.4 | |
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old | 16 | |
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urban | 15.7 | |
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freight car | 15.7 | |
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mercantile establishment | 15.2 | |
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structure | 14.6 | |
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vehicle | 13.6 | |
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wheeled vehicle | 13 | |
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ancient | 13 | |
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travel | 12 | |
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street | 12 | |
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grunge | 11.9 | |
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buildings | 11.3 | |
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billboard | 11 | |
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place of business | 10.1 | |
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house | 10 | |
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black | 9.6 | |
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antique | 9.5 | |
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art | 9.4 | |
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town | 9.3 | |
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signboard | 8.9 | |
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sky | 8.9 | |
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night | 8.9 | |
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window | 8.6 | |
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old fashioned | 8.6 | |
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vintage | 8.3 | |
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tourism | 8.2 | |
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technology | 8.2 | |
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aged | 8.1 | |
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dirty | 8.1 | |
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history | 8 | |
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light | 8 | |
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decoration | 7.7 | |
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cityscape | 7.6 | |
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dark | 7.5 | |
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monument | 7.5 | |
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design | 7.4 | |
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historic | 7.3 | |
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truck | 7.3 | |
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people | 7.2 | |
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paint | 7.2 | |
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landmark | 7.2 | |
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modern | 7 | |
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Google
created on 2022-01-09
Photograph | 94.2 | |
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Black | 89.7 | |
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Black-and-white | 85.4 | |
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Style | 84 | |
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Font | 80.2 | |
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Art | 78 | |
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Flag | 76.7 | |
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Rectangle | 74.9 | |
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Monochrome | 74.6 | |
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Monochrome photography | 74.3 | |
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Snapshot | 74.3 | |
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Event | 70.7 | |
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Motor vehicle | 67.4 | |
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Room | 66.2 | |
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Stock photography | 65.1 | |
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Illustration | 63.3 | |
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Visual arts | 58.3 | |
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Graphic design | 58.1 | |
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Photographic paper | 57.2 | |
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Machine | 56.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 43-51 |
Gender | Female, 70.7% |
Surprised | 81.6% |
Calm | 5.9% |
Confused | 4.1% |
Fear | 3.7% |
Sad | 2.2% |
Disgusted | 1.5% |
Angry | 0.7% |
Happy | 0.4% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 99.7% |
Calm | 69.5% |
Disgusted | 11.3% |
Happy | 7.1% |
Sad | 4.4% |
Angry | 4.1% |
Fear | 1.3% |
Confused | 1.3% |
Surprised | 0.9% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 62.5% |
Calm | 95% |
Sad | 1.1% |
Angry | 1% |
Fear | 0.9% |
Disgusted | 0.8% |
Confused | 0.6% |
Surprised | 0.3% |
Happy | 0.3% |

AWS Rekognition
Age | 36-44 |
Gender | Male, 99.6% |
Disgusted | 42% |
Angry | 16% |
Surprised | 15.4% |
Calm | 9.3% |
Confused | 8.4% |
Sad | 5.5% |
Fear | 1.8% |
Happy | 1.6% |

AWS Rekognition
Age | 40-48 |
Gender | Male, 99.6% |
Happy | 33.6% |
Sad | 30.6% |
Calm | 9% |
Fear | 8.5% |
Confused | 5.4% |
Angry | 5.1% |
Surprised | 4% |
Disgusted | 3.9% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 95.4% |
Calm | 76.3% |
Sad | 9.4% |
Happy | 5.5% |
Angry | 2.5% |
Disgusted | 2.2% |
Fear | 1.7% |
Surprised | 1.6% |
Confused | 0.8% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 46.3% | |
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cars vehicles | 21.4% | |
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streetview architecture | 14.7% | |
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text visuals | 12.9% | |
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events parties | 1.5% | |
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food drinks | 1.1% | |
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Captions
Microsoft
created on 2022-01-09
a sign above a store | 43.9% | |
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a photo of a person | 38.4% | |
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Text analysis
Amazon

Ford

UNUM

20869.

20869

YT33AC

20869 •
M Ford
20869.

20869

•

M

Ford

20869.