Machine Generated Data
Tags
Amazon
created on 2023-10-06
City | 99.9 | |
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Urban | 99.5 | |
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Architecture | 98.6 | |
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Building | 98.6 | |
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Adult | 98.5 | |
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Male | 98.5 | |
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Man | 98.5 | |
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Person | 98.5 | |
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Adult | 98.3 | |
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Male | 98.3 | |
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Man | 98.3 | |
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Person | 98.3 | |
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Road | 98.2 | |
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Street | 98.2 | |
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Adult | 97.7 | |
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Male | 97.7 | |
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Man | 97.7 | |
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Person | 97.7 | |
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Person | 96.4 | |
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Person | 96 | |
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Person | 95.7 | |
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Carriage | 94.7 | |
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Transportation | 94.7 | |
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Vehicle | 94.7 | |
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Neighborhood | 94.5 | |
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Person | 93.5 | |
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Person | 92.9 | |
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Person | 86.9 | |
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Wagon | 83.4 | |
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Helmet | 83.3 | |
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Person | 83.1 | |
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Person | 78 | |
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Helmet | 76.8 | |
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Accessories | 73.4 | |
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Bag | 73.4 | |
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Handbag | 73.4 | |
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Face | 70.7 | |
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Head | 70.7 | |
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Bicycle | 68.7 | |
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Cycling | 68.7 | |
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Sport | 68.7 | |
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Clothing | 66.4 | |
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Hat | 66.4 | |
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Person | 63.9 | |
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Person | 62.2 | |
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Metropolis | 61 | |
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Bench | 60.8 | |
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Furniture | 60.8 | |
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Hat | 59.3 | |
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Building | 59.2 | |
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Hat | 57.7 | |
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Cafeteria | 56.6 | |
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Indoors | 56.6 | |
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Restaurant | 56.6 | |
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Horse Cart | 56.4 | |
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Office Building | 55.6 | |
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Factory | 55.5 | |
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Hat | 55.4 | |
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Machine | 55.4 | |
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Spoke | 55.4 | |
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Condo | 55.1 | |
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Housing | 55.1 | |
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Clarifai
created on 2018-05-10
people | 99.9 | |
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group together | 99.3 | |
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group | 98.7 | |
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many | 98.4 | |
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adult | 95.9 | |
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vehicle | 95.7 | |
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man | 95.3 | |
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94.9 | ||
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administration | 93.4 | |
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street | 92.9 | |
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war | 92.5 | |
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transportation system | 91.8 | |
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military | 89 | |
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cavalry | 87.3 | |
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monochrome | 87 | |
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two | 85.5 | |
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several | 85.1 | |
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lithograph | 82.8 | |
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crowd | 80.7 | |
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soldier | 79.4 | |
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Imagga
created on 2023-10-06
shopping cart | 43.4 | |
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city | 43.3 | |
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architecture | 42.9 | |
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building | 38.9 | |
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handcart | 35.7 | |
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wheeled vehicle | 31.3 | |
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park bench | 25.7 | |
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travel | 25.4 | |
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bench | 23.2 | |
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urban | 22.7 | |
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structure | 20.7 | |
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sky | 18.5 | |
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cityscape | 18 | |
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container | 17.5 | |
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buildings | 17 | |
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seat | 16.9 | |
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landmark | 16.3 | |
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house | 14.8 | |
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street | 14.7 | |
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river | 14.2 | |
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town | 13.9 | |
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historic | 13.8 | |
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water | 13.3 | |
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exterior | 12.9 | |
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tourist | 12.8 | |
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old | 12.5 | |
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road | 11.7 | |
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tourism | 11.6 | |
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downtown | 11.5 | |
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conveyance | 11.3 | |
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furniture | 11.2 | |
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center | 10.8 | |
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skyscraper | 10.7 | |
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palace | 10.7 | |
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construction | 10.3 | |
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sea | 10.2 | |
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office | 10 | |
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tower | 9.9 | |
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history | 9.8 | |
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vacation | 9.8 | |
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night | 9.8 | |
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architectural | 9.6 | |
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scene | 9.5 | |
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capital | 9.5 | |
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monument | 9.3 | |
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famous | 9.3 | |
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summer | 9 | |
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landscape | 8.9 | |
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day | 8.6 | |
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modern | 8.4 | |
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transportation | 8.1 | |
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boat | 7.9 | |
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holiday | 7.9 | |
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cars | 7.8 | |
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ancient | 7.8 | |
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port | 7.7 | |
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skyline | 7.6 | |
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university | 7.5 | |
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historical | 7.5 | |
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facade | 7.4 | |
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church | 7.4 | |
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business | 7.3 | |
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pier | 7.2 | |
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Google
created on 2018-05-10
black and white | 90.9 | |
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monochrome photography | 77.3 | |
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history | 72.6 | |
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monochrome | 67.4 | |
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facade | 64.9 | |
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building | 59.5 | |
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downtown | 56.9 | |
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metropolis | 56.5 | |
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street | 54.7 | |
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plaza | 50.7 | |
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stock photography | 50 | |
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Microsoft
created on 2018-05-10
outdoor | 95.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-33 |
Gender | Male, 97.6% |
Sad | 39.7% |
Calm | 32.8% |
Happy | 17.1% |
Fear | 16.4% |
Surprised | 7.8% |
Angry | 3.9% |
Disgusted | 1.9% |
Confused | 0.6% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 89.9% |
Calm | 86.6% |
Surprised | 7% |
Fear | 6.9% |
Angry | 3.1% |
Sad | 2.9% |
Confused | 1.9% |
Disgusted | 1.9% |
Happy | 0.4% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 98% |
Surprised | 80.8% |
Angry | 18.5% |
Calm | 11.8% |
Happy | 9.4% |
Fear | 6.9% |
Disgusted | 5.9% |
Sad | 2.9% |
Confused | 1.4% |

AWS Rekognition
Age | 14-22 |
Gender | Female, 73.6% |
Sad | 80.3% |
Fear | 52.4% |
Surprised | 7.9% |
Happy | 6.1% |
Disgusted | 4.7% |
Calm | 4.2% |
Angry | 1.5% |
Confused | 1.3% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 90.5% |
Fear | 45.9% |
Calm | 35.4% |
Disgusted | 9.4% |
Surprised | 7.5% |
Sad | 4.6% |
Angry | 4.1% |
Happy | 3.4% |
Confused | 1% |
Feature analysis
Amazon
Building
Adult
Male
Man
Person
Helmet
Handbag
Hat
Bench

Building | 98.6% | |
|

Building | 59.2% | |
|

Adult | 98.5% | |
|

Adult | 98.3% | |
|

Adult | 97.7% | |
|

Male | 98.5% | |
|

Male | 98.3% | |
|

Male | 97.7% | |
|

Man | 98.5% | |
|

Man | 98.3% | |
|

Man | 97.7% | |
|

Person | 98.5% | |
|

Person | 98.3% | |
|

Person | 97.7% | |
|

Person | 96.4% | |
|

Person | 96% | |
|

Person | 95.7% | |
|

Person | 93.5% | |
|

Person | 92.9% | |
|

Person | 86.9% | |
|

Person | 83.1% | |
|

Person | 78% | |
|

Person | 63.9% | |
|

Person | 62.2% | |
|

Helmet | 83.3% | |
|

Helmet | 76.8% | |
|

Handbag | 73.4% | |
|

Hat | 66.4% | |
|

Hat | 59.3% | |
|

Hat | 57.7% | |
|

Hat | 55.4% | |
|

Bench | 60.8% | |
|
Categories
Imagga
streetview architecture | 100% | |
|
Captions
Microsoft
created on 2018-05-10
a group of people sitting in front of a building | 89.1% | |
| ||
a group of people in front of a building | 89% | |
| ||
a group of people standing in front of a building | 88.9% | |
|
Text analysis
Amazon

for

Style

the

Latest

Style Centre for the Latest Fashion

S.KLEIN

Fashion

Centre

V-ANN

CODE

SE

NHK

Style

fatest

Fashior

Style Centre for the fatest Fashior

Centre

for

the