Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
city | 49.1 | |
| ||
architecture | 38.5 | |
| ||
ship | 32.7 | |
| ||
pier | 27.5 | |
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cityscape | 27.5 | |
| ||
building | 26.6 | |
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tower | 25.1 | |
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travel | 24.7 | |
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urban | 23.6 | |
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town | 23.2 | |
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buildings | 22.7 | |
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tourism | 22.3 | |
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sea | 21.9 | |
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sky | 21.7 | |
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aerial | 20.4 | |
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structure | 20.3 | |
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skyline | 20 | |
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old | 19.5 | |
| ||
bridge | 19.3 | |
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port | 19.3 | |
| ||
harbor | 19.3 | |
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panorama | 19.1 | |
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billboard | 18.6 | |
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vessel | 18.6 | |
| ||
center | 18.5 | |
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cargo ship | 18.2 | |
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wreckage | 17.8 | |
| ||
boat | 17.5 | |
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signboard | 16.8 | |
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landmark | 16.3 | |
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water | 16 | |
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support | 15.9 | |
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river | 15.1 | |
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landscape | 14.9 | |
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device | 14.7 | |
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church | 13.9 | |
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island | 13.7 | |
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downtown | 13.5 | |
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part | 13.3 | |
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oil tanker | 12.9 | |
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bay | 12.6 | |
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roof | 12.6 | |
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tourist | 12.1 | |
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famous | 12.1 | |
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boats | 11.7 | |
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skyscraper | 11.5 | |
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street | 11.1 | |
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ocean | 10.9 | |
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container ship | 10.9 | |
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coast | 10.8 | |
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dock | 10.7 | |
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scene | 10.4 | |
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house | 10.2 | |
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history | 9.9 | |
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vacation | 9.8 | |
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shipping | 9.8 | |
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cargo | 9.7 | |
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culture | 9.4 | |
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industrial | 9.1 | |
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wall | 9.1 | |
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summer | 9 | |
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to | 8.9 | |
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cathedral | 8.6 | |
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medieval | 8.6 | |
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clouds | 8.5 | |
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destination | 8.4 | |
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waterfront | 8.3 | |
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crane | 8.2 | |
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sunset | 8.1 | |
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business | 7.9 | |
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roofs | 7.9 | |
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cities | 7.8 | |
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st | 7.8 | |
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houses | 7.8 | |
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above | 7.7 | |
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panoramic | 7.7 | |
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exterior | 7.4 | |
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historic | 7.3 | |
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transport | 7.3 | |
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world | 7.1 | |
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modern | 7 | |
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palace | 7 | |
|
Google
created on 2022-01-15
Font | 80.2 | |
| ||
Adaptation | 79.3 | |
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Art | 79.3 | |
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Building | 79.2 | |
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Urban design | 74.4 | |
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Monochrome | 73.3 | |
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Monochrome photography | 71.2 | |
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Room | 68.8 | |
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Vintage clothing | 67.5 | |
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Photo caption | 65.5 | |
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History | 65.1 | |
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Paper product | 64.3 | |
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Stock photography | 63.7 | |
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Illustration | 63.5 | |
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Event | 63.4 | |
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City | 61.7 | |
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Street | 59.2 | |
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Window | 57.4 | |
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Photographic paper | 57.3 | |
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Crowd | 56.1 | |
|
Microsoft
created on 2022-01-15
text | 98.4 | |
| ||
white | 78.2 | |
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black and white | 75.6 | |
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black | 68 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 22-30 |
Gender | Male, 89.1% |
Calm | 96.4% |
Happy | 2.1% |
Confused | 0.5% |
Sad | 0.3% |
Disgusted | 0.2% |
Surprised | 0.2% |
Fear | 0.2% |
Angry | 0.1% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.5% |
Calm | 55.3% |
Disgusted | 24.9% |
Angry | 8.5% |
Surprised | 4.2% |
Happy | 3.2% |
Fear | 1.9% |
Confused | 1.2% |
Sad | 0.7% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 96.2% |
Calm | 97.6% |
Happy | 0.6% |
Angry | 0.5% |
Fear | 0.4% |
Disgusted | 0.4% |
Sad | 0.3% |
Surprised | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 97% |
Calm | 67.5% |
Surprised | 20.8% |
Fear | 3.6% |
Disgusted | 3.3% |
Happy | 2.2% |
Confused | 1.2% |
Angry | 0.7% |
Sad | 0.7% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 93.3% |
Calm | 98.5% |
Fear | 0.5% |
Sad | 0.4% |
Disgusted | 0.2% |
Angry | 0.1% |
Surprised | 0.1% |
Confused | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 90.3% |
Surprised | 38% |
Calm | 23.9% |
Fear | 14.1% |
Sad | 13.6% |
Happy | 3.1% |
Confused | 3.1% |
Disgusted | 3.1% |
Angry | 1.2% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.3% |
Disgusted | 59.4% |
Calm | 24.5% |
Sad | 10.1% |
Surprised | 2.7% |
Angry | 1.2% |
Fear | 0.8% |
Happy | 0.6% |
Confused | 0.6% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 74.7% |
Disgusted | 40% |
Calm | 22.9% |
Confused | 22.1% |
Happy | 4.3% |
Sad | 3.6% |
Surprised | 3.6% |
Fear | 2.3% |
Angry | 1.2% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 77% |
Surprised | 77.8% |
Sad | 6.5% |
Calm | 4.8% |
Disgusted | 4% |
Confused | 3.2% |
Fear | 1.9% |
Angry | 1.5% |
Happy | 0.4% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 57.2% |
Sad | 88.6% |
Calm | 3% |
Disgusted | 2.1% |
Happy | 2% |
Surprised | 1.8% |
Fear | 1.6% |
Angry | 0.6% |
Confused | 0.4% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 55.1% |
Calm | 85.8% |
Surprised | 6.9% |
Confused | 4.2% |
Sad | 1% |
Angry | 0.7% |
Fear | 0.6% |
Disgusted | 0.5% |
Happy | 0.3% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 92.6% |
Calm | 99.4% |
Sad | 0.3% |
Disgusted | 0.2% |
Happy | 0.1% |
Angry | 0% |
Confused | 0% |
Fear | 0% |
Surprised | 0% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 62.1% |
Happy | 45.8% |
Calm | 40.8% |
Disgusted | 8.9% |
Fear | 1.6% |
Sad | 1.1% |
Surprised | 0.9% |
Angry | 0.7% |
Confused | 0.3% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 99.5% |
Sad | 28.2% |
Surprised | 18.1% |
Happy | 14.3% |
Disgusted | 13.2% |
Angry | 12.9% |
Calm | 5.4% |
Confused | 4.3% |
Fear | 3.6% |

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
cars vehicles | 73% | |
| ||
interior objects | 12.8% | |
| ||
streetview architecture | 5.5% | |
| ||
food drinks | 2.9% | |
| ||
paintings art | 1.9% | |
| ||
text visuals | 1.8% | |
|
Captions
Microsoft
created on 2022-01-15
a group of people standing in front of a building | 81.4% | |
| ||
a group of people in front of a building | 81.3% | |
| ||
a group of people sitting in front of a building | 73.8% | |
|
Text analysis
Amazon

FLORIDA

STEINMETZ, SARASOTA. FLORIDA

EASY

SARASOTA.

STEINMETZ,

FURNITURE

BAD

TERMS

FORCES

NAVY

ARMY

MATHER

GOOD& BAD FURNITURE EASY TERMS

ARMED

RECRUITING

AIR

MARINE

AIR FORCE

MARINE CORPS

10

E EASY TERMS

GOOD&

CORPS

FORCE

E

606 10

U.S ARMED FORCES

606

SUARD

U.S

SOAST SUARD

PIZZ

RM.205

RM106

-

SOAST

RM203

RM200

NEW

MU3--YT330°

606 10.
MATHER
E EASY TERMS
GOOD& BAD FURNITURE EASY TERMS
JUS ARMED FORCES
RECRUITING
AIR PORCE
M200
ARMY
RM200
00ART PUARD
MARINE CORPS M20
NAVY
RMJ08
STEINMETZ, SARASOTA. FLORIDA

606

10.

MATHER

E

EASY

TERMS

GOOD&

BAD

FURNITURE

JUS

ARMED

FORCES

RECRUITING

AIR

PORCE

M200

ARMY

RM200

00ART

PUARD

MARINE

CORPS

M20

NAVY

RMJ08

STEINMETZ,

SARASOTA.

FLORIDA