Machine Generated Data
Tags
Amazon
created on 2022-01-23
Face | 99.7 | |
| ||
Human | 99.7 | |
| ||
Person | 99.1 | |
| ||
Person | 98.9 | |
| ||
Person | 98.8 | |
| ||
Person | 98.7 | |
| ||
Person | 98.3 | |
| ||
Suit | 95.3 | |
| ||
Clothing | 95.3 | |
| ||
Coat | 95.3 | |
| ||
Overcoat | 95.3 | |
| ||
Apparel | 95.3 | |
| ||
Collage | 91.5 | |
| ||
Poster | 91.5 | |
| ||
Advertisement | 91.5 | |
| ||
Head | 89 | |
| ||
Female | 86 | |
| ||
Hair | 84.3 | |
| ||
Portrait | 73.1 | |
| ||
Photography | 73.1 | |
| ||
Photo | 73.1 | |
| ||
Text | 70.7 | |
| ||
Photo Booth | 65.8 | |
| ||
Woman | 65.7 | |
| ||
Tie | 61 | |
| ||
Accessories | 61 | |
| ||
Accessory | 61 | |
| ||
Brick | 59.1 | |
|
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
mug shot | 100 | |
| ||
photograph | 100 | |
| ||
representation | 100 | |
| ||
creation | 73.7 | |
| ||
portrait | 29.8 | |
| ||
attractive | 22.4 | |
| ||
people | 21.2 | |
| ||
pretty | 20.3 | |
| ||
model | 19.4 | |
| ||
black | 19.2 | |
| ||
person | 18.9 | |
| ||
adult | 18.7 | |
| ||
fashion | 17.3 | |
| ||
money | 17 | |
| ||
hair | 16.6 | |
| ||
face | 16.3 | |
| ||
happy | 15 | |
| ||
sexy | 14.4 | |
| ||
smile | 14.2 | |
| ||
business | 14 | |
| ||
currency | 13.5 | |
| ||
smiling | 13 | |
| ||
cute | 12.9 | |
| ||
cash | 12.8 | |
| ||
old | 12.5 | |
| ||
man | 12.1 | |
| ||
human | 12 | |
| ||
body | 12 | |
| ||
bill | 11.4 | |
| ||
women | 11.1 | |
| ||
paper | 11 | |
| ||
posing | 10.7 | |
| ||
studio | 10.6 | |
| ||
brunette | 10.4 | |
| ||
style | 10.4 | |
| ||
eyes | 10.3 | |
| ||
close | 10.3 | |
| ||
dress | 9.9 | |
| ||
male | 9.9 | |
| ||
vintage | 9.9 | |
| ||
holding | 9.9 | |
| ||
lady | 9.7 | |
| ||
happiness | 9.4 | |
| ||
skin | 9.3 | |
| ||
elegance | 9.2 | |
| ||
banking | 9.2 | |
| ||
long | 9.2 | |
| ||
makeup | 9.1 | |
| ||
culture | 8.5 | |
| ||
dollar | 8.4 | |
| ||
one | 8.2 | |
| ||
sensuality | 8.2 | |
| ||
art | 8 | |
| ||
love | 7.9 | |
| ||
look | 7.9 | |
| ||
postage | 7.9 | |
| ||
couple | 7.8 | |
| ||
stamp | 7.7 | |
| ||
expression | 7.7 | |
| ||
7.7 | ||
| ||
economy | 7.4 | |
| ||
lifestyle | 7.2 | |
| ||
looking | 7.2 | |
| ||
wealth | 7.2 | |
| ||
bank | 7.2 | |
| ||
financial | 7.1 | |
|
Google
created on 2022-01-23
Hair | 98.5 | |
| ||
Forehead | 98.5 | |
| ||
Face | 98.5 | |
| ||
Head | 97.2 | |
| ||
Chin | 96.7 | |
| ||
Hairstyle | 95.1 | |
| ||
Eyebrow | 94.9 | |
| ||
Facial expression | 93.3 | |
| ||
Jaw | 88.3 | |
| ||
Sleeve | 80.9 | |
| ||
Font | 76.7 | |
| ||
Vintage clothing | 76.2 | |
| ||
Art | 72.3 | |
| ||
Collar | 70.6 | |
| ||
Room | 70.3 | |
| ||
History | 67.9 | |
| ||
Monochrome photography | 63.6 | |
| ||
Event | 62.6 | |
| ||
Portrait | 61.2 | |
| ||
Collection | 60.6 | |
|
Microsoft
created on 2022-01-23
human face | 99.6 | |
| ||
person | 98.4 | |
| ||
posing | 98.2 | |
| ||
wall | 98.2 | |
| ||
clothing | 93.9 | |
| ||
smile | 92 | |
| ||
man | 89 | |
| ||
text | 85.5 | |
| ||
woman | 78.5 | |
| ||
portrait | 78.1 | |
| ||
different | 72.8 | |
| ||
glasses | 65.9 | |
| ||
vintage clothing | 50.7 | |
| ||
several | 11.5 | |
| ||
picture frame | 10.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 19-27 |
Gender | Female, 72.1% |
Calm | 100% |
Sad | 0% |
Confused | 0% |
Surprised | 0% |
Happy | 0% |
Angry | 0% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 100% |
Calm | 98.8% |
Happy | 0.4% |
Confused | 0.3% |
Sad | 0.2% |
Surprised | 0.1% |
Angry | 0.1% |
Fear | 0.1% |
Disgusted | 0% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 100% |
Calm | 97.6% |
Happy | 1% |
Sad | 0.5% |
Surprised | 0.3% |
Confused | 0.3% |
Angry | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 99.3% |
Calm | 49.4% |
Happy | 48.9% |
Confused | 0.7% |
Sad | 0.4% |
Angry | 0.2% |
Disgusted | 0.2% |
Surprised | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 93.8% |
Happy | 88.2% |
Calm | 5.8% |
Confused | 2.3% |
Sad | 1% |
Fear | 0.8% |
Surprised | 0.8% |
Angry | 0.6% |
Disgusted | 0.5% |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Female |

Microsoft Cognitive Services
Age | 29 |
Gender | Female |

Microsoft Cognitive Services
Age | 27 |
Gender | Female |

Microsoft Cognitive Services
Age | 42 |
Gender | Female |

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 | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 99.9% | |
|
Captions
Microsoft
created on 2022-01-23
a group of people posing for a photo | 81.6% | |
| ||
a person standing in front of a mirror posing for the camera | 67.4% | |
| ||
a group of women posing for a photo | 67.3% | |
|
Text analysis
Amazon

1932

WOOLSTOCK

WOOLSTOCK
1932

WOOLSTOCK

1932