Machine Generated Data
Tags
Amazon
created on 2022-03-12
Person | 99.5 | |
| ||
Human | 99.5 | |
| ||
Person | 99.1 | |
| ||
Person | 98.9 | |
| ||
Person | 98.8 | |
| ||
Person | 98.6 | |
| ||
Crowd | 94.9 | |
| ||
Person | 93.9 | |
| ||
Person | 89.4 | |
| ||
Person | 85.3 | |
| ||
Urban | 82.8 | |
| ||
Person | 82.6 | |
| ||
Architecture | 81.6 | |
| ||
Building | 81.6 | |
| ||
Person | 80.4 | |
| ||
Person | 79.7 | |
| ||
Downtown | 79.1 | |
| ||
City | 79.1 | |
| ||
Town | 79.1 | |
| ||
Person | 77.2 | |
| ||
Audience | 74.7 | |
| ||
People | 73.3 | |
| ||
Musician | 72.9 | |
| ||
Musical Instrument | 72.9 | |
| ||
Person | 72.8 | |
| ||
Person | 68.9 | |
| ||
Back | 64.7 | |
| ||
Person | 63 | |
| ||
Bicycle | 55.1 | |
| ||
Transportation | 55.1 | |
| ||
Vehicle | 55.1 | |
| ||
Bike | 55.1 | |
|
Clarifai
created on 2025-01-09
Imagga
created on 2022-03-12
city | 40.7 | |
| ||
building | 33.3 | |
| ||
architecture | 32.8 | |
| ||
signboard | 30.9 | |
| ||
structure | 23.9 | |
| ||
urban | 23.6 | |
| ||
billboard | 23.3 | |
| ||
stage | 21.6 | |
| ||
travel | 19.7 | |
| ||
business | 19.4 | |
| ||
night | 18.6 | |
| ||
town | 17.6 | |
| ||
cityscape | 17 | |
| ||
modern | 16.8 | |
| ||
board | 16.3 | |
| ||
buildings | 16.1 | |
| ||
scoreboard | 15.9 | |
| ||
platform | 15.9 | |
| ||
downtown | 15.4 | |
| ||
flag | 14.5 | |
| ||
landmark | 14.4 | |
| ||
tower | 14.3 | |
| ||
skyline | 14.2 | |
| ||
sky | 14 | |
| ||
street | 13.8 | |
| ||
finance | 13.5 | |
| ||
light | 13.4 | |
| ||
old | 11.8 | |
| ||
financial | 11.6 | |
| ||
skyscraper | 11.5 | |
| ||
emblem | 11.4 | |
| ||
construction | 11.1 | |
| ||
office | 11.1 | |
| ||
tourism | 10.7 | |
| ||
car | 10.4 | |
| ||
new | 9.7 | |
| ||
panorama | 9.5 | |
| ||
scene | 9.5 | |
| ||
stall | 9.5 | |
| ||
man | 9.4 | |
| ||
destination | 9.3 | |
| ||
famous | 9.3 | |
| ||
male | 9.2 | |
| ||
road | 9 | |
| ||
vacation | 9 | |
| ||
gymnasium | 9 | |
| ||
freight car | 8.9 | |
| ||
success | 8.8 | |
| ||
district | 8.7 | |
| ||
center | 8.6 | |
| ||
sea | 8.6 | |
| ||
bridge | 8.5 | |
| ||
ocean | 8.4 | |
| ||
people | 8.4 | |
| ||
house | 8.4 | |
| ||
tourist | 8.3 | |
| ||
person | 8.2 | |
| ||
athletic facility | 8.1 | |
| ||
work | 7.8 | |
| ||
high | 7.8 | |
| ||
houses | 7.7 | |
| ||
money | 7.7 | |
| ||
capital | 7.6 | |
| ||
evening | 7.5 | |
| ||
landscape | 7.4 | |
| ||
water | 7.3 | |
| ||
industrial | 7.3 | |
| ||
mercantile establishment | 7.2 | |
| ||
sunset | 7.2 | |
| ||
coast | 7.2 | |
| ||
businessman | 7.1 | |
| ||
shop | 7 | |
|
Google
created on 2022-03-12
Motor vehicle | 87.4 | |
| ||
Black-and-white | 85.2 | |
| ||
Hat | 78.8 | |
| ||
Monochrome | 78.1 | |
| ||
Monochrome photography | 77.1 | |
| ||
Font | 75.8 | |
| ||
Vehicle | 74.3 | |
| ||
Snapshot | 74.3 | |
| ||
Crowd | 74 | |
| ||
Event | 71.3 | |
| ||
History | 66.5 | |
| ||
Wheel | 65.1 | |
| ||
Stock photography | 63.7 | |
| ||
Photo caption | 61.3 | |
| ||
City | 60.9 | |
| ||
Room | 59.9 | |
| ||
Building | 58.5 | |
| ||
Advertising | 57.8 | |
| ||
Crew | 57 | |
| ||
Public event | 54 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 36-44 |
Gender | Female, 100% |
Calm | 57.3% |
Sad | 25.6% |
Angry | 6.4% |
Happy | 5.5% |
Disgusted | 2.1% |
Surprised | 1.3% |
Fear | 1.1% |
Confused | 0.6% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 97.8% |
Calm | 69.4% |
Surprised | 23.4% |
Sad | 2.1% |
Angry | 1.6% |
Happy | 1.3% |
Fear | 1% |
Disgusted | 0.9% |
Confused | 0.3% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 62.7% |
Angry | 32.9% |
Happy | 29.4% |
Sad | 12.1% |
Confused | 9% |
Surprised | 7.1% |
Fear | 4.8% |
Disgusted | 4.1% |
Calm | 0.7% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 98.6% |
Happy | 62.2% |
Sad | 11.8% |
Surprised | 11.6% |
Angry | 3.5% |
Calm | 3.4% |
Disgusted | 3.4% |
Confused | 2.7% |
Fear | 1.4% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 98.7% |
Calm | 80.3% |
Sad | 12.2% |
Angry | 1.8% |
Disgusted | 1.7% |
Happy | 1.6% |
Fear | 1.1% |
Surprised | 0.7% |
Confused | 0.6% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 96.4% |
Sad | 51.9% |
Fear | 29.7% |
Calm | 7.1% |
Surprised | 3.2% |
Angry | 2.9% |
Happy | 2.4% |
Disgusted | 2.4% |
Confused | 0.4% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 75.5% |
Happy | 79.3% |
Fear | 12.8% |
Sad | 2.1% |
Surprised | 1.8% |
Angry | 1.8% |
Disgusted | 1.1% |
Confused | 0.6% |
Calm | 0.5% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.9% |
Calm | 97.6% |
Angry | 2.1% |
Confused | 0.1% |
Surprised | 0.1% |
Sad | 0.1% |
Disgusted | 0% |
Happy | 0% |
Fear | 0% |

AWS Rekognition
Age | 36-44 |
Gender | Female, 71% |
Sad | 21.7% |
Calm | 19.9% |
Surprised | 14.9% |
Angry | 11.2% |
Confused | 11% |
Disgusted | 8.9% |
Fear | 6.9% |
Happy | 5.5% |

AWS Rekognition
Age | 6-12 |
Gender | Male, 99.6% |
Happy | 75.6% |
Sad | 14.4% |
Disgusted | 4.3% |
Angry | 2% |
Calm | 1.8% |
Fear | 1.1% |
Surprised | 0.4% |
Confused | 0.4% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 51.5% |
Calm | 93.8% |
Fear | 1.8% |
Angry | 1.7% |
Sad | 0.8% |
Happy | 0.7% |
Disgusted | 0.5% |
Surprised | 0.4% |
Confused | 0.3% |

AWS Rekognition
Age | 6-12 |
Gender | Male, 99.4% |
Calm | 23.8% |
Confused | 22.9% |
Angry | 15.2% |
Disgusted | 14% |
Sad | 13.4% |
Fear | 4.9% |
Happy | 3.5% |
Surprised | 2.4% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 63.5% |
Sad | 58.7% |
Calm | 36.2% |
Confused | 2.3% |
Disgusted | 1.1% |
Fear | 0.8% |
Angry | 0.5% |
Happy | 0.3% |
Surprised | 0.1% |

AWS Rekognition
Age | 11-19 |
Gender | Female, 73.7% |
Sad | 53% |
Calm | 24.9% |
Fear | 17.4% |
Angry | 1.8% |
Disgusted | 1.2% |
Surprised | 1% |
Happy | 0.4% |
Confused | 0.3% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 92.3% |
Calm | 92.6% |
Confused | 2% |
Fear | 1.5% |
Sad | 1.5% |
Disgusted | 0.8% |
Surprised | 0.6% |
Happy | 0.4% |
Angry | 0.4% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 62.6% |
Calm | 71.3% |
Sad | 12.2% |
Angry | 4.7% |
Disgusted | 4.3% |
Happy | 4.3% |
Surprised | 1.3% |
Confused | 1.2% |
Fear | 0.8% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 99.8% |
Calm | 98.3% |
Confused | 0.6% |
Angry | 0.4% |
Disgusted | 0.2% |
Sad | 0.2% |
Surprised | 0.1% |
Fear | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 89.7% |
Fear | 65.8% |
Calm | 9.6% |
Sad | 8.9% |
Happy | 3.5% |
Disgusted | 3.5% |
Confused | 2.9% |
Angry | 2.9% |
Surprised | 2.8% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.9% |
Sad | 91.6% |
Angry | 3.4% |
Disgusted | 3% |
Happy | 1.1% |
Confused | 0.3% |
Calm | 0.3% |
Fear | 0.2% |
Surprised | 0.1% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 78.1% |
Disgusted | 43.8% |
Angry | 22.7% |
Happy | 12.4% |
Calm | 11% |
Sad | 5.5% |
Surprised | 1.8% |
Confused | 1.5% |
Fear | 1.2% |

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 | 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 likely |
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 | 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 | Likely |

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 | 49.9% | |
| ||
text visuals | 18.2% | |
| ||
events parties | 18.1% | |
| ||
streetview architecture | 5.6% | |
| ||
interior objects | 2.5% | |
| ||
beaches seaside | 2.2% | |
| ||
paintings art | 1.3% | |
| ||
food drinks | 1% | |
|
Captions
Microsoft
created on 2022-03-12
a group of people standing in front of a crowd | 79% | |
| ||
a group of people in front of a crowd | 78.9% | |
| ||
a group of people standing in front of a crowd of people | 75.8% | |
|
Text analysis
Amazon

DeSoto

DeSoto Hotel

Hotel

ICE

CREAM

ICE CREAM

OLEANDER

Campus

OLEANDER ICE CRE

Delicious

The

CRE

Young

FIRST

WEAR

from

BANK

NATIONAL

CHILDRENS

Serve-Eat

INFANTS

Cradle

Young Colony.

31076

from Cradle to Campus

Colony.

The Ta

to

The Delicious Provestment

Ta

TEEN'S

or

PAINTER

ARATHENT O

Provestment

DeSoto Hotel
Youy Colong
INFANTS
FIRST
CHNLDRENS
NATIONAL
TEEN'S
WLAR
Jpm Cradle to Campus
Serve-Eat
目
OLEANDER ICE CRE
The Ta
The Delicious
OLEANDER
ICE CREAM
310 76

DeSoto

Hotel

Youy

Colong

INFANTS

FIRST

CHNLDRENS

NATIONAL

TEEN'S

WLAR

Jpm

Cradle

to

Campus

Serve-Eat

目

OLEANDER

ICE

CRE

The

Ta

Delicious

CREAM

310

76