Machine Generated Data
Tags
Amazon
created on 2022-02-25
Collage | 99.8 | |
| ||
Advertisement | 99.8 | |
| ||
Poster | 99.8 | |
| ||
Person | 99.3 | |
| ||
Human | 99.3 | |
| ||
Person | 99.1 | |
| ||
Person | 99 | |
| ||
Person | 98.3 | |
| ||
Person | 98.3 | |
| ||
Person | 97.4 | |
| ||
Person | 92.3 | |
| ||
Person | 90.8 | |
| ||
Person | 88.9 | |
| ||
Wheel | 85.9 | |
| ||
Machine | 85.9 | |
| ||
Person | 85.3 | |
| ||
Person | 83.5 | |
| ||
Wheel | 78.1 | |
| ||
Person | 73.2 | |
| ||
Person | 72.8 | |
| ||
Person | 63.8 | |
| ||
Person | 60.7 | |
| ||
Head | 58.3 | |
| ||
Vehicle | 55.1 | |
| ||
Transportation | 55.1 | |
|
Clarifai
created on 2023-10-22
Imagga
created on 2022-02-25
equipment | 30.5 | |
| ||
cassette tape | 25.1 | |
| ||
device | 24.9 | |
| ||
magnetic tape | 21.9 | |
| ||
old | 20.9 | |
| ||
electronic equipment | 19.4 | |
| ||
technology | 19.3 | |
| ||
case | 17.2 | |
| ||
memory device | 17.2 | |
| ||
radio | 14.7 | |
| ||
cassette | 14.4 | |
| ||
business | 13.3 | |
| ||
retro | 13.1 | |
| ||
metal | 12.9 | |
| ||
finance | 12.7 | |
| ||
safe | 12.7 | |
| ||
wealth | 11.7 | |
| ||
vintage | 11.6 | |
| ||
electrical | 11.5 | |
| ||
system | 11.4 | |
| ||
television | 11.2 | |
| ||
money | 11 | |
| ||
close | 10.8 | |
| ||
black | 10.8 | |
| ||
computer | 10.7 | |
| ||
box | 10.6 | |
| ||
audio | 10.5 | |
| ||
loudspeaker | 10.5 | |
| ||
detail | 10.4 | |
| ||
sound | 10.3 | |
| ||
wall | 10.3 | |
| ||
church | 10.2 | |
| ||
architecture | 10.1 | |
| ||
amplifier | 10.1 | |
| ||
power | 10.1 | |
| ||
door | 10 | |
| ||
currency | 9.9 | |
| ||
religion | 9.8 | |
| ||
bank | 9.8 | |
| ||
art | 9.7 | |
| ||
texture | 9.7 | |
| ||
container | 9.7 | |
| ||
object | 9.5 | |
| ||
antique | 9.5 | |
| ||
storage | 9.5 | |
| ||
grunge | 9.4 | |
| ||
light | 9.3 | |
| ||
safety | 9.2 | |
| ||
security | 9.2 | |
| ||
stereo | 9.2 | |
| ||
music | 9 | |
| ||
digital | 8.9 | |
| ||
information | 8.8 | |
| ||
industry | 8.5 | |
| ||
design | 8.4 | |
| ||
electric | 8.4 | |
| ||
network | 8.3 | |
| ||
sign | 8.3 | |
| ||
banking | 8.3 | |
| ||
cash | 8.2 | |
| ||
financial | 8 | |
| ||
market | 8 | |
| ||
interior | 8 | |
| ||
lock | 7.9 | |
| ||
broadcasting | 7.8 | |
| ||
dollars | 7.7 | |
| ||
cable | 7.6 | |
| ||
electronics | 7.6 | |
| ||
pattern | 7.5 | |
| ||
savings | 7.4 | |
| ||
monitor | 7.4 | |
| ||
plastic | 7.3 | |
| ||
connection | 7.3 | |
| ||
data | 7.3 | |
| ||
film | 7.2 | |
| ||
science | 7.1 | |
| ||
modern | 7 | |
|
Google
created on 2022-02-25
Photograph | 94.2 | |
| ||
Black | 89.7 | |
| ||
Wheel | 87 | |
| ||
Motor vehicle | 86.9 | |
| ||
Car | 84.4 | |
| ||
Art | 84 | |
| ||
Font | 80.4 | |
| ||
Tints and shades | 76.5 | |
| ||
Room | 69.9 | |
| ||
Collage | 69 | |
| ||
Tire | 68.3 | |
| ||
Design | 68.3 | |
| ||
Visual arts | 68 | |
| ||
Monochrome photography | 67.1 | |
| ||
Monochrome | 66.3 | |
| ||
Stock photography | 64.8 | |
| ||
Kit car | 64.2 | |
| ||
History | 64.1 | |
| ||
Collection | 61.7 | |
| ||
Photographic paper | 60.1 | |
|
Microsoft
created on 2022-02-25
text | 96.4 | |
| ||
land vehicle | 95.7 | |
| ||
vehicle | 92.6 | |
| ||
wheel | 91.6 | |
| ||
bunch | 70 | |
| ||
car | 67.2 | |
| ||
tire | 55.2 | |
| ||
black and white | 52.8 | |
| ||
different | 44.9 | |
| ||
several | 12.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 33-41 |
Gender | Female, 93.2% |
Calm | 99.6% |
Surprised | 0.3% |
Sad | 0% |
Disgusted | 0% |
Angry | 0% |
Happy | 0% |
Fear | 0% |
Confused | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 99.8% |
Happy | 94.3% |
Calm | 2.9% |
Sad | 1.4% |
Surprised | 0.3% |
Angry | 0.3% |
Disgusted | 0.3% |
Confused | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 72.6% |
Calm | 72.1% |
Fear | 16.1% |
Happy | 8.8% |
Sad | 1% |
Disgusted | 0.7% |
Surprised | 0.6% |
Confused | 0.5% |
Angry | 0.2% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.9% |
Happy | 100% |
Calm | 0% |
Surprised | 0% |
Sad | 0% |
Angry | 0% |
Confused | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.8% |
Calm | 49.3% |
Sad | 32% |
Happy | 4.8% |
Confused | 4.7% |
Angry | 3.2% |
Fear | 2.1% |
Disgusted | 2.1% |
Surprised | 1.8% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.7% |
Happy | 82.7% |
Calm | 16.8% |
Disgusted | 0.1% |
Surprised | 0.1% |
Angry | 0.1% |
Confused | 0.1% |
Sad | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 99.9% |
Happy | 87.2% |
Calm | 4.6% |
Fear | 4% |
Surprised | 1.5% |
Sad | 1.2% |
Disgusted | 0.6% |
Angry | 0.5% |
Confused | 0.3% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 94.3% |
Happy | 84.4% |
Calm | 15% |
Surprised | 0.2% |
Sad | 0.2% |
Angry | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 86.9% |
Fear | 30.8% |
Happy | 26.7% |
Surprised | 18.9% |
Calm | 11.8% |
Angry | 5.9% |
Disgusted | 2% |
Confused | 2% |
Sad | 1.7% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 99.9% |
Happy | 96.4% |
Calm | 1.1% |
Sad | 0.9% |
Angry | 0.7% |
Surprised | 0.4% |
Confused | 0.3% |
Disgusted | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 99.9% |
Calm | 93.3% |
Confused | 4.9% |
Surprised | 0.7% |
Angry | 0.3% |
Fear | 0.3% |
Happy | 0.2% |
Disgusted | 0.2% |
Sad | 0.2% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 57.1% |
Fear | 54.5% |
Calm | 17.9% |
Happy | 15.7% |
Surprised | 4% |
Sad | 4% |
Confused | 1.6% |
Disgusted | 1.3% |
Angry | 0.9% |

AWS Rekognition
Age | 16-22 |
Gender | Male, 77.5% |
Calm | 74.5% |
Fear | 23.7% |
Surprised | 0.6% |
Happy | 0.5% |
Confused | 0.3% |
Sad | 0.2% |
Disgusted | 0.2% |
Angry | 0.1% |

AWS Rekognition
Age | 31-41 |
Gender | Male, 51.7% |
Angry | 31.1% |
Happy | 28.8% |
Calm | 14.6% |
Fear | 9.2% |
Sad | 7.6% |
Confused | 5.7% |
Disgusted | 1.5% |
Surprised | 1.5% |

AWS Rekognition
Age | 12-20 |
Gender | Male, 99.8% |
Calm | 37.8% |
Fear | 27.4% |
Angry | 18.8% |
Disgusted | 5.5% |
Surprised | 3.1% |
Sad | 3% |
Happy | 2.8% |
Confused | 1.6% |

AWS Rekognition
Age | 14-22 |
Gender | Female, 79.3% |
Fear | 40.6% |
Calm | 19.6% |
Confused | 17% |
Sad | 10.1% |
Surprised | 5.9% |
Disgusted | 3.9% |
Happy | 1.5% |
Angry | 1.4% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 99.3% |
Angry | 46.2% |
Calm | 44.1% |
Sad | 4% |
Confused | 3.6% |
Disgusted | 0.7% |
Fear | 0.6% |
Surprised | 0.5% |
Happy | 0.3% |

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

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 likely |
Feature analysis
Categories
Imagga
interior objects | 41.1% | |
| ||
streetview architecture | 25.8% | |
| ||
text visuals | 16.6% | |
| ||
paintings art | 15.9% | |
|
Captions
Text analysis
Amazon

CAMILLO

4

FILM

2

BA

&

3

7

CU BA

CU

SAFETY FILM

6

MR226

SAFETY

"CHÊ" & CAMILLO CIENFULEGOS

KODAK

CIENFULEGOS

"CHÊ"

LoM

LODAR

JUKNNIE

ERIFICI

PASSPORT 4

CHIENTE

PASSPORT

" CHẾ CAMlo CIENFUEGO
SAFETY
FILM
KODAK
SAFETY FILM

"

CHẾ

CAMlo

CIENFUEGO

SAFETY

FILM

KODAK