Machine Generated Data
Tags
Amazon
created on 2022-02-11
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.5 | |
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Person | 99.3 | |
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Person | 98.6 | |
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Pedestrian | 95.3 | |
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Person | 93.4 | |
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Clothing | 83.9 | |
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Apparel | 83.9 | |
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Path | 83.6 | |
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Flagstone | 78.3 | |
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Handrail | 78 | |
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Banister | 78 | |
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Shoe | 69.8 | |
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Footwear | 69.8 | |
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Sidewalk | 65.4 | |
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Pavement | 65.4 | |
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Overcoat | 62.1 | |
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Coat | 62.1 | |
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Pants | 62.1 | |
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Spire | 57.6 | |
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Building | 57.6 | |
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Architecture | 57.6 | |
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Tower | 57.6 | |
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Steeple | 57.6 | |
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Tarmac | 56.9 | |
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Asphalt | 56.9 | |
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Clarifai
created on 2023-10-29
Imagga
created on 2022-02-11
television camera | 30.2 | |
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city | 27.4 | |
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television equipment | 24.1 | |
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architecture | 22.9 | |
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people | 19 | |
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building | 18.5 | |
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electronic equipment | 18.3 | |
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travel | 18.3 | |
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man | 17.5 | |
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sky | 17.2 | |
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urban | 15.7 | |
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landmark | 14.4 | |
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equipment | 13.9 | |
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buildings | 13.2 | |
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tourism | 13.2 | |
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street | 12.9 | |
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outdoor | 12.2 | |
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monument | 11.2 | |
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business | 10.9 | |
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male | 10.6 | |
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cityscape | 10.4 | |
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clouds | 10.1 | |
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engineer | 9.9 | |
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old | 9.7 | |
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support | 9.3 | |
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photographer | 9.2 | |
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black | 9.2 | |
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road | 9 | |
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tower | 8.9 | |
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worker | 8.9 | |
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person | 8.7 | |
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water | 8.7 | |
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sidewalk | 8.5 | |
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tripod | 8.5 | |
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park | 8.4 | |
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stone | 8.4 | |
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adult | 8.4 | |
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structure | 8.4 | |
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historic | 8.2 | |
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vacation | 8.2 | |
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square | 8.1 | |
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day | 7.8 | |
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statue | 7.8 | |
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summer | 7.7 | |
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tourist | 7.7 | |
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england | 7.6 | |
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united | 7.6 | |
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device | 7.5 | |
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outdoors | 7.5 | |
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silhouette | 7.4 | |
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church | 7.4 | |
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barrier | 7.2 | |
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holiday | 7.2 | |
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love | 7.1 | |
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work | 7.1 | |
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Google
created on 2022-02-11
Building | 92 | |
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Infrastructure | 89.3 | |
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Sky | 87.3 | |
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Standing | 86.4 | |
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Mode of transport | 86.2 | |
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Road surface | 84.8 | |
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Travel | 84.1 | |
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Asphalt | 81.6 | |
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Sidewalk | 80.4 | |
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Tree | 78.2 | |
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Tints and shades | 77.3 | |
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Road | 76 | |
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Bag | 75.1 | |
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Urban area | 74.4 | |
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Street fashion | 74 | |
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City | 73 | |
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Luggage and bags | 72.5 | |
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Pedestrian | 71.2 | |
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Street | 70.5 | |
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Suit | 70.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 27-37 |
Gender | Female, 99.9% |
Sad | 69.4% |
Calm | 8.6% |
Disgusted | 7.8% |
Angry | 7.3% |
Happy | 3.5% |
Surprised | 1.2% |
Fear | 1.2% |
Confused | 0.9% |

AWS Rekognition
Age | 36-44 |
Gender | Female, 89.7% |
Angry | 72.5% |
Happy | 12.5% |
Fear | 8.2% |
Surprised | 2.6% |
Calm | 1.6% |
Sad | 1.3% |
Confused | 0.7% |
Disgusted | 0.5% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 95.1% |
Happy | 58.8% |
Calm | 20.6% |
Fear | 13.2% |
Surprised | 1.8% |
Angry | 1.8% |
Sad | 1.6% |
Disgusted | 1.5% |
Confused | 0.6% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
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 |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 99.3% | |
|
Captions
Microsoft
created on 2022-02-11
a man and a woman sitting on a bench | 66.5% | |
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a person sitting on a bench | 66.4% | |
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a man and woman sitting on a bench | 61.3% | |
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Text analysis
Amazon

LOANS

7E

BENEFICIAL

AVE

OUIS AVE

OUIS

KODYK

KODYK tirn

tirn

MJI3YT37 A2 ZAGON
7E

MJI3YT37

A2

ZAGON

7E