Machine Generated Data
Tags
Amazon
created on 2022-01-29
Clothing | 100 | |
| ||
Apparel | 100 | |
| ||
Person | 99.5 | |
| ||
Human | 99.5 | |
| ||
Person | 97.6 | |
| ||
Person | 97.4 | |
| ||
Person | 97 | |
| ||
Hat | 95.6 | |
| ||
Hat | 93.4 | |
| ||
Person | 91.7 | |
| ||
Person | 91.3 | |
| ||
Person | 91.1 | |
| ||
Person | 89.5 | |
| ||
Crowd | 84.7 | |
| ||
Overcoat | 82.5 | |
| ||
Coat | 82.5 | |
| ||
People | 75.9 | |
| ||
Sunglasses | 74.5 | |
| ||
Accessories | 74.5 | |
| ||
Accessory | 74.5 | |
| ||
Suit | 73.9 | |
| ||
Sun Hat | 69.4 | |
| ||
Hat | 68.4 | |
| ||
Hat | 67.5 | |
| ||
Hat | 66.9 | |
| ||
Cap | 66 | |
| ||
Face | 62.4 | |
| ||
Sunglasses | 61.8 | |
| ||
Photography | 57.6 | |
| ||
Photo | 57.6 | |
| ||
Person | 53 | |
|
Clarifai
created on 2023-10-27
people | 99.9 | |
| ||
group | 99 | |
| ||
man | 98.4 | |
| ||
group together | 98.1 | |
| ||
many | 97.9 | |
| ||
adult | 97.5 | |
| ||
woman | 96.2 | |
| ||
vehicle | 95.9 | |
| ||
crowd | 95 | |
| ||
transportation system | 93.7 | |
| ||
veil | 93.7 | |
| ||
leader | 92 | |
| ||
monochrome | 91.9 | |
| ||
lid | 90.2 | |
| ||
administration | 90.2 | |
| ||
military | 87.7 | |
| ||
chair | 84.8 | |
| ||
street | 83.4 | |
| ||
several | 81.7 | |
| ||
train | 81.2 | |
|
Imagga
created on 2022-01-29
brass | 58 | |
| ||
wind instrument | 46.2 | |
| ||
musical instrument | 32.4 | |
| ||
bugle | 29.7 | |
| ||
man | 28.9 | |
| ||
people | 22.8 | |
| ||
work | 18.8 | |
| ||
cornet | 18.6 | |
| ||
business | 17.6 | |
| ||
male | 16.3 | |
| ||
device | 15.5 | |
| ||
building | 15.3 | |
| ||
person | 14.9 | |
| ||
men | 14.6 | |
| ||
photographer | 14.5 | |
| ||
adult | 14.3 | |
| ||
occupation | 13.7 | |
| ||
industry | 13.6 | |
| ||
worker | 12.4 | |
| ||
trombone | 12 | |
| ||
uniform | 12 | |
| ||
architecture | 11.7 | |
| ||
city | 11.6 | |
| ||
lifestyle | 11.5 | |
| ||
working | 11.5 | |
| ||
urban | 11.3 | |
| ||
travel | 11.3 | |
| ||
industrial | 10.9 | |
| ||
job | 10.6 | |
| ||
group | 10.5 | |
| ||
equipment | 9.9 | |
| ||
transportation | 9.8 | |
| ||
train | 9.8 | |
| ||
portrait | 9.7 | |
| ||
indoors | 9.6 | |
| ||
office | 9.1 | |
| ||
old | 9 | |
| ||
bass | 8.8 | |
| ||
factory | 8.7 | |
| ||
construction | 8.5 | |
| ||
life | 8.4 | |
| ||
passenger | 8.4 | |
| ||
room | 8.2 | |
| ||
surgeon | 8.2 | |
| ||
helmet | 7.9 | |
| ||
smile | 7.8 | |
| ||
professional | 7.7 | |
| ||
modern | 7.7 | |
| ||
war | 7.7 | |
| ||
power | 7.5 | |
| ||
meeting | 7.5 | |
| ||
journey | 7.5 | |
| ||
clothing | 7.5 | |
| ||
leisure | 7.5 | |
| ||
technology | 7.4 | |
| ||
board | 7.2 | |
| ||
smiling | 7.2 | |
| ||
station | 7 | |
|
Google
created on 2022-01-29
Hat | 93.3 | |
| ||
Coat | 86.8 | |
| ||
Motor vehicle | 86.3 | |
| ||
Black-and-white | 85.5 | |
| ||
Fedora | 84.4 | |
| ||
Sun hat | 84.3 | |
| ||
Style | 83.9 | |
| ||
Cap | 82.3 | |
| ||
Suit | 76 | |
| ||
Monochrome photography | 75.6 | |
| ||
Monochrome | 74.9 | |
| ||
Crew | 74.6 | |
| ||
Event | 73 | |
| ||
White-collar worker | 70.5 | |
| ||
Crowd | 68.8 | |
| ||
Cowboy hat | 68.6 | |
| ||
Eyewear | 67.9 | |
| ||
Team | 66.9 | |
| ||
Art | 63.9 | |
| ||
Stock photography | 62.8 | |
|
Microsoft
created on 2022-01-29
person | 99 | |
| ||
clothing | 96.9 | |
| ||
text | 96.7 | |
| ||
black and white | 92.3 | |
| ||
man | 86.4 | |
| ||
hat | 86.4 | |
| ||
people | 83.2 | |
| ||
fashion accessory | 76.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 43-51 |
Gender | Male, 100% |
Calm | 99.4% |
Sad | 0.2% |
Surprised | 0.1% |
Angry | 0.1% |
Happy | 0.1% |
Disgusted | 0% |
Confused | 0% |
Fear | 0% |

AWS Rekognition
Age | 38-46 |
Gender | Male, 97.2% |
Calm | 60.5% |
Happy | 35.2% |
Sad | 1.4% |
Surprised | 1.1% |
Angry | 0.7% |
Disgusted | 0.6% |
Confused | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 98.8% |
Sad | 23.3% |
Angry | 20.3% |
Calm | 18.2% |
Surprised | 13% |
Happy | 10.9% |
Disgusted | 7.8% |
Confused | 3.4% |
Fear | 3.1% |

AWS Rekognition
Age | 42-50 |
Gender | Male, 99.4% |
Calm | 96.4% |
Happy | 1.1% |
Surprised | 1% |
Sad | 0.8% |
Angry | 0.3% |
Confused | 0.2% |
Disgusted | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 98.7% |
Calm | 90.8% |
Happy | 3.5% |
Surprised | 2.7% |
Sad | 1.3% |
Confused | 0.8% |
Disgusted | 0.5% |
Angry | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 98.9% |
Sad | 62.7% |
Calm | 19.9% |
Confused | 5.6% |
Happy | 5.5% |
Disgusted | 2.2% |
Angry | 1.7% |
Surprised | 1.6% |
Fear | 0.7% |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | 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 | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 31% | |
| ||
people portraits | 21.4% | |
| ||
events parties | 12.2% | |
| ||
cars vehicles | 12% | |
| ||
interior objects | 10.2% | |
| ||
food drinks | 2.7% | |
| ||
pets animals | 2.5% | |
| ||
nature landscape | 2.3% | |
| ||
text visuals | 2.3% | |
| ||
paintings art | 1.7% | |
| ||
beaches seaside | 1.5% | |
|
Captions
Microsoft
created on 2022-01-29
a group of people posing for the camera | 94.9% | |
| ||
a group of people posing for a photo | 92.3% | |
| ||
a group of people posing for a picture | 92.2% | |
|
Text analysis
Amazon

DD

8

MJI7

YT33AS

MJI7 YT33AS ACHA

ACHA

DD
MJI7 YT3RA A

DD

MJI7

YT3RA

A