Machine Generated Data
Tags
Amazon
created on 2022-01-08
Person | 99.3 | |
| ||
Human | 99.3 | |
| ||
Person | 98.5 | |
| ||
Person | 98 | |
| ||
Room | 97.8 | |
| ||
Indoors | 97.8 | |
| ||
Audience | 97.6 | |
| ||
Crowd | 97.6 | |
| ||
Person | 97.1 | |
| ||
Person | 96.9 | |
| ||
Interior Design | 96.5 | |
| ||
Classroom | 96.2 | |
| ||
School | 96.2 | |
| ||
Person | 94.5 | |
| ||
Person | 91.6 | |
| ||
Person | 91.5 | |
| ||
Person | 88.7 | |
| ||
Speech | 71 | |
| ||
Person | 70.2 | |
| ||
Person | 67.4 | |
| ||
People | 66.5 | |
| ||
Person | 66.2 | |
| ||
Sitting | 65.7 | |
| ||
Jury | 63.2 | |
| ||
Court | 62.6 | |
| ||
Lecture | 59.2 | |
| ||
Hall | 58.5 | |
| ||
Seminar | 55.4 | |
| ||
Person | 42.3 | |
|
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
television | 54.6 | |
| ||
telecommunication system | 40.7 | |
| ||
room | 32.9 | |
| ||
man | 32.2 | |
| ||
classroom | 29.8 | |
| ||
people | 25.6 | |
| ||
male | 25.5 | |
| ||
person | 21.4 | |
| ||
office | 19.6 | |
| ||
business | 18.2 | |
| ||
men | 17.2 | |
| ||
businessman | 15.9 | |
| ||
silhouette | 15.7 | |
| ||
black | 15.6 | |
| ||
sitting | 14.6 | |
| ||
adult | 14.1 | |
| ||
couple | 13.9 | |
| ||
women | 12.6 | |
| ||
team | 12.5 | |
| ||
indoor | 11.9 | |
| ||
love | 11.8 | |
| ||
computer | 11.6 | |
| ||
portrait | 11.6 | |
| ||
lifestyle | 11.6 | |
| ||
boy | 11.3 | |
| ||
happy | 11.3 | |
| ||
professional | 11.2 | |
| ||
monitor | 11.1 | |
| ||
group | 10.5 | |
| ||
work | 10.2 | |
| ||
home | 9.6 | |
| ||
corporate | 9.4 | |
| ||
relax | 9.3 | |
| ||
businesswoman | 9.1 | |
| ||
one | 8.9 | |
| ||
looking | 8.8 | |
| ||
indoors | 8.8 | |
| ||
smile | 8.5 | |
| ||
youth | 8.5 | |
| ||
meeting | 8.5 | |
| ||
casual | 8.5 | |
| ||
art | 8.5 | |
| ||
modern | 8.4 | |
| ||
old | 8.4 | |
| ||
leisure | 8.3 | |
| ||
screen | 8.3 | |
| ||
fun | 8.2 | |
| ||
photographer | 8.2 | |
| ||
laptop | 8.1 | |
| ||
scholar | 8 | |
| ||
interior | 8 | |
| ||
happiness | 7.8 | |
| ||
desk | 7.5 | |
| ||
student | 7.5 | |
| ||
sport | 7.5 | |
| ||
senior | 7.5 | |
| ||
vintage | 7.4 | |
| ||
teamwork | 7.4 | |
| ||
cheerful | 7.3 | |
| ||
success | 7.2 | |
| ||
aged | 7.2 | |
| ||
suit | 7.2 | |
| ||
night | 7.1 | |
| ||
chair | 7.1 | |
|
Google
created on 2022-01-08
Photograph | 94.2 | |
| ||
Black-and-white | 82.3 | |
| ||
Chair | 79 | |
| ||
Font | 76.5 | |
| ||
Suit | 75.2 | |
| ||
Snapshot | 74.3 | |
| ||
Monochrome | 72.1 | |
| ||
Event | 71.6 | |
| ||
Monochrome photography | 71.1 | |
| ||
Motor vehicle | 69.5 | |
| ||
Room | 67.3 | |
| ||
Photo caption | 65.4 | |
| ||
Sitting | 64 | |
| ||
History | 63.9 | |
| ||
Stock photography | 62.7 | |
| ||
Job | 59.4 | |
| ||
Team | 58.1 | |
| ||
Collaboration | 57.8 | |
| ||
Crew | 51.7 | |
| ||
Visual arts | 51.2 | |
|
Microsoft
created on 2022-01-08
text | 99.9 | |
| ||
person | 96.1 | |
| ||
clothing | 92.9 | |
| ||
man | 69.8 | |
| ||
black and white | 64.9 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.4% |
Happy | 58.2% |
Calm | 31.4% |
Sad | 3.4% |
Disgusted | 1.7% |
Fear | 1.6% |
Angry | 1.6% |
Confused | 1% |
Surprised | 1% |

AWS Rekognition
Age | 42-50 |
Gender | Male, 100% |
Disgusted | 53.7% |
Happy | 40.3% |
Calm | 3.1% |
Sad | 0.9% |
Angry | 0.8% |
Surprised | 0.5% |
Confused | 0.3% |
Fear | 0.3% |

AWS Rekognition
Age | 35-43 |
Gender | Female, 100% |
Surprised | 36.2% |
Calm | 28% |
Fear | 7.9% |
Angry | 7.8% |
Disgusted | 6.9% |
Happy | 6.1% |
Sad | 5.5% |
Confused | 1.5% |

AWS Rekognition
Age | 52-60 |
Gender | Male, 98.9% |
Happy | 99.2% |
Sad | 0.5% |
Calm | 0.1% |
Surprised | 0.1% |
Confused | 0% |
Angry | 0% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 99.9% |
Sad | 71.3% |
Calm | 9.5% |
Disgusted | 4.5% |
Confused | 4.1% |
Surprised | 3.7% |
Happy | 2.6% |
Angry | 2.4% |
Fear | 1.9% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 96.3% |
Disgusted | 43.9% |
Happy | 25.6% |
Sad | 16.6% |
Confused | 5.9% |
Angry | 3.5% |
Surprised | 2.4% |
Fear | 1.3% |
Calm | 0.8% |

AWS Rekognition
Age | 36-44 |
Gender | Female, 99.8% |
Happy | 48% |
Calm | 24% |
Sad | 14.4% |
Confused | 8.9% |
Angry | 1.5% |
Disgusted | 1.4% |
Fear | 0.9% |
Surprised | 0.9% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 99.8% |
Surprised | 46% |
Disgusted | 36.8% |
Confused | 5.5% |
Fear | 4.9% |
Sad | 1.9% |
Angry | 1.8% |
Happy | 1.6% |
Calm | 1.5% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99% |
Surprised | 36.8% |
Calm | 24.3% |
Disgusted | 17.4% |
Fear | 10.5% |
Sad | 6.8% |
Happy | 2.3% |
Angry | 1.1% |
Confused | 0.9% |

AWS Rekognition
Age | 51-59 |
Gender | Male, 95% |
Sad | 64.4% |
Calm | 11.5% |
Surprised | 6.4% |
Fear | 5.9% |
Confused | 4% |
Angry | 2.7% |
Happy | 2.6% |
Disgusted | 2.4% |

AWS Rekognition
Age | 12-20 |
Gender | Female, 51.2% |
Sad | 94.6% |
Fear | 2% |
Calm | 1.3% |
Surprised | 0.5% |
Happy | 0.5% |
Confused | 0.4% |
Disgusted | 0.4% |
Angry | 0.3% |

AWS Rekognition
Age | 2-8 |
Gender | Male, 52.5% |
Sad | 97.7% |
Angry | 1.1% |
Calm | 0.6% |
Happy | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |
Confused | 0.1% |
Surprised | 0% |

AWS Rekognition
Age | 35-43 |
Gender | Female, 99.3% |
Calm | 79.8% |
Happy | 5.6% |
Surprised | 4.8% |
Confused | 3.9% |
Disgusted | 2.1% |
Sad | 1.8% |
Fear | 1.2% |
Angry | 0.8% |

AWS Rekognition
Age | 47-53 |
Gender | Male, 99.6% |
Calm | 44.8% |
Fear | 14.9% |
Sad | 11.9% |
Surprised | 11.1% |
Angry | 8.2% |
Confused | 4.6% |
Happy | 2.3% |
Disgusted | 2.3% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.9% |
Calm | 34% |
Confused | 19.1% |
Sad | 18.7% |
Fear | 10% |
Angry | 6.5% |
Happy | 6.4% |
Surprised | 3.6% |
Disgusted | 1.8% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 83.6% |
Calm | 73% |
Fear | 8.9% |
Angry | 5.2% |
Surprised | 5% |
Sad | 3.4% |
Disgusted | 2.1% |
Confused | 1.3% |
Happy | 1% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.5% |
Calm | 90.4% |
Happy | 4.8% |
Angry | 1.1% |
Sad | 1.1% |
Disgusted | 0.9% |
Fear | 0.8% |
Confused | 0.5% |
Surprised | 0.3% |

AWS Rekognition
Age | 12-20 |
Gender | Female, 56.4% |
Sad | 24% |
Calm | 21.8% |
Fear | 17.2% |
Angry | 14.5% |
Disgusted | 10.2% |
Confused | 6.9% |
Happy | 2.8% |
Surprised | 2.6% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 93% |
Sad | 43.5% |
Confused | 35.5% |
Calm | 9.6% |
Fear | 5.1% |
Disgusted | 2.7% |
Angry | 1.9% |
Surprised | 1% |
Happy | 0.7% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 80.8% |
Calm | 60.4% |
Disgusted | 10.3% |
Surprised | 9.6% |
Happy | 6.7% |
Fear | 4.4% |
Angry | 4.1% |
Sad | 2.7% |
Confused | 1.8% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.8% |
Happy | 60.7% |
Calm | 13.9% |
Surprised | 8.6% |
Sad | 5.1% |
Fear | 5.1% |
Confused | 3.4% |
Angry | 2.2% |
Disgusted | 1.1% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 79.7% |
Calm | 94.2% |
Fear | 4.1% |
Sad | 0.5% |
Happy | 0.5% |
Disgusted | 0.3% |
Angry | 0.2% |
Surprised | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 59.2% |
Sad | 65.7% |
Fear | 17.5% |
Happy | 11.1% |
Surprised | 2.4% |
Calm | 1.4% |
Disgusted | 0.7% |
Confused | 0.6% |
Angry | 0.6% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 98.5% |
Calm | 78% |
Sad | 7.2% |
Fear | 5.4% |
Angry | 4.5% |
Confused | 2.1% |
Disgusted | 1.2% |
Happy | 1% |
Surprised | 0.7% |

AWS Rekognition
Age | 11-19 |
Gender | Male, 93% |
Surprised | 57.9% |
Calm | 20.1% |
Disgusted | 9.6% |
Sad | 6.8% |
Confused | 3% |
Angry | 1.2% |
Fear | 0.9% |
Happy | 0.5% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 87.3% |
Calm | 76.1% |
Sad | 7.4% |
Surprised | 6.2% |
Fear | 2.7% |
Angry | 2.6% |
Confused | 1.9% |
Disgusted | 1.6% |
Happy | 1.5% |

Microsoft Cognitive Services
Age | 32 |
Gender | Female |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 55 |
Gender | Male |

Microsoft Cognitive Services
Age | 39 |
Gender | Female |

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

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 | 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 |

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 | Unlikely |
Headwear | Very unlikely |
Blurred | 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 |

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 |

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

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

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

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

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 | Unlikely |
Feature analysis
Categories
Imagga
text visuals | 37.7% | |
| ||
people portraits | 23.6% | |
| ||
paintings art | 15.8% | |
| ||
food drinks | 8.8% | |
| ||
events parties | 8.1% | |
| ||
interior objects | 3.6% | |
|
Captions
Microsoft
created by unknown on 2022-01-08
graphical user interface | 50.7% | |
|
Text analysis
Amazon

1992

3/15

meeting,

End Ruth 1992

Ruth

At A

HATE legyslators At A meeting, Tallabassee

Tallabassee

End

legyslators

HATE

....
1992
3/15
tate leays Intons nt A meeting, Tatlbtasee

....

1992

3/15

tate

leays

Intons

nt

A

meeting,

Tatlbtasee