Machine Generated Data
Tags
Amazon
created on 2022-01-23
Person | 99.2 | |
| ||
Human | 99.2 | |
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Person | 98.8 | |
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Person | 98.6 | |
| ||
Person | 98.4 | |
| ||
Person | 98.1 | |
| ||
Person | 97.9 | |
| ||
Person | 97.9 | |
| ||
Person | 97.7 | |
| ||
Person | 97.2 | |
| ||
Collage | 96.7 | |
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Advertisement | 96.7 | |
| ||
Person | 96.3 | |
| ||
Jaw | 95.9 | |
| ||
Person | 95.9 | |
| ||
Person | 94.6 | |
| ||
Performer | 94.2 | |
| ||
Person | 93 | |
| ||
Person | 92.8 | |
| ||
Person | 92.6 | |
| ||
Person | 92.4 | |
| ||
Person | 91.7 | |
| ||
Person | 90.9 | |
| ||
Person | 90.5 | |
| ||
Person | 89.1 | |
| ||
Person | 86.5 | |
| ||
Photo Booth | 81.5 | |
| ||
Person | 80.2 | |
| ||
Face | 79.8 | |
| ||
Person | 77.8 | |
| ||
Poster | 58.6 | |
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Head | 56.3 | |
|
Clarifai
created on 2023-10-26
portrait | 99.9 | |
| ||
people | 99.8 | |
| ||
group | 99.7 | |
| ||
collage | 97.7 | |
| ||
adult | 97.5 | |
| ||
vintage | 97.3 | |
| ||
woman | 97.1 | |
| ||
collection | 96.9 | |
| ||
smile | 96 | |
| ||
set | 95.6 | |
| ||
girl | 95.6 | |
| ||
group together | 95.3 | |
| ||
retro | 95.3 | |
| ||
face | 95.2 | |
| ||
model | 94.1 | |
| ||
facial expression | 93.9 | |
| ||
man | 93.6 | |
| ||
monochrome | 91.6 | |
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old | 90.5 | |
| ||
wear | 89.5 | |
|
Imagga
created on 2022-01-23
pick | 100 | |
| ||
device | 100 | |
| ||
set | 28 | |
| ||
symbol | 24.2 | |
| ||
sign | 19.5 | |
| ||
collection | 18.9 | |
| ||
money | 18.7 | |
| ||
icon | 17.4 | |
| ||
currency | 17 | |
| ||
black | 16.2 | |
| ||
business | 15.2 | |
| ||
design | 14.1 | |
| ||
round | 13.8 | |
| ||
coins | 13.5 | |
| ||
finance | 13.5 | |
| ||
button | 12.6 | |
| ||
element | 12.4 | |
| ||
bank | 11.6 | |
| ||
icons | 11.2 | |
| ||
web | 11 | |
| ||
gold | 10.7 | |
| ||
decoration | 10.5 | |
| ||
coin | 10.5 | |
| ||
circle | 10.5 | |
| ||
metal | 10.5 | |
| ||
art | 10.4 | |
| ||
cash | 10.1 | |
| ||
wealth | 9.9 | |
| ||
label | 9.4 | |
| ||
card | 9.3 | |
| ||
dollar | 9.3 | |
| ||
clock | 9.1 | |
| ||
retro | 9 | |
| ||
cartoon | 8.9 | |
| ||
silver | 8.8 | |
| ||
object | 8.8 | |
| ||
antique | 8.6 | |
| ||
drawing | 8.6 | |
| ||
rich | 8.4 | |
| ||
decorative | 8.3 | |
| ||
color | 8.3 | |
| ||
texture | 8.3 | |
| ||
banking | 8.3 | |
| ||
sticker | 7.8 | |
| ||
ornament | 7.8 | |
| ||
old | 7.7 | |
| ||
exchange | 7.6 | |
| ||
buttons | 7.5 | |
| ||
pattern | 7.5 | |
| ||
commerce | 7.5 | |
| ||
vintage | 7.4 | |
| ||
ribbon | 7.4 | |
| ||
painting | 7.2 | |
| ||
holiday | 7.2 | |
| ||
financial | 7.1 | |
| ||
shiny | 7.1 | |
|
Google
created on 2022-01-23
Chin | 96.7 | |
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Photograph | 94.3 | |
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Coat | 91 | |
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Font | 84.9 | |
| ||
Suit | 83.9 | |
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Event | 70.3 | |
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Vintage clothing | 69.5 | |
| ||
Art | 68.2 | |
| ||
Team | 68.1 | |
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History | 67.4 | |
| ||
Oval | 63.4 | |
| ||
Circle | 62.3 | |
| ||
Collection | 58.8 | |
| ||
Retro style | 57.4 | |
| ||
Formal wear | 53.5 | |
| ||
Illustration | 52.7 | |
| ||
Visual arts | 51.5 | |
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Pattern | 50.4 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 20-28 |
Gender | Male, 100% |
Calm | 98.9% |
Angry | 0.3% |
Sad | 0.2% |
Surprised | 0.2% |
Confused | 0.1% |
Happy | 0.1% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 99.8% |
Calm | 98.1% |
Sad | 0.8% |
Angry | 0.3% |
Confused | 0.3% |
Surprised | 0.1% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 99.7% |
Calm | 96% |
Happy | 1.3% |
Confused | 0.7% |
Sad | 0.6% |
Surprised | 0.5% |
Angry | 0.3% |
Fear | 0.3% |
Disgusted | 0.2% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 84.9% |
Calm | 98.9% |
Angry | 0.3% |
Confused | 0.2% |
Surprised | 0.2% |
Sad | 0.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 99.9% |
Calm | 97.4% |
Sad | 1.7% |
Angry | 0.3% |
Confused | 0.2% |
Surprised | 0.1% |
Disgusted | 0.1% |
Happy | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 77.1% |
Calm | 99.8% |
Surprised | 0% |
Confused | 0% |
Angry | 0% |
Disgusted | 0% |
Happy | 0% |
Sad | 0% |
Fear | 0% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 99.8% |
Angry | 48.1% |
Calm | 36.9% |
Confused | 7.2% |
Sad | 2.6% |
Happy | 2.2% |
Surprised | 1.4% |
Disgusted | 0.9% |
Fear | 0.7% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 99.6% |
Calm | 99.5% |
Confused | 0.1% |
Sad | 0.1% |
Angry | 0.1% |
Surprised | 0.1% |
Happy | 0.1% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 96.8% |
Happy | 93.3% |
Calm | 1.9% |
Confused | 1.3% |
Surprised | 1% |
Angry | 0.7% |
Fear | 0.6% |
Disgusted | 0.6% |
Sad | 0.6% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 93.6% |
Calm | 99.8% |
Sad | 0.2% |
Angry | 0% |
Confused | 0% |
Happy | 0% |
Disgusted | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 33-41 |
Gender | Female, 99.9% |
Calm | 83.9% |
Happy | 12% |
Sad | 1.5% |
Confused | 0.8% |
Angry | 0.7% |
Disgusted | 0.4% |
Surprised | 0.3% |
Fear | 0.3% |

AWS Rekognition
Age | 16-22 |
Gender | Male, 99% |
Calm | 95.8% |
Sad | 1.7% |
Angry | 1.5% |
Confused | 0.3% |
Surprised | 0.3% |
Fear | 0.1% |
Disgusted | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 100% |
Happy | 81.8% |
Calm | 8.7% |
Sad | 2.1% |
Angry | 1.9% |
Disgusted | 1.7% |
Confused | 1.6% |
Surprised | 1.4% |
Fear | 0.7% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 99.9% |
Calm | 99.3% |
Angry | 0.2% |
Surprised | 0.2% |
Sad | 0.1% |
Confused | 0.1% |
Happy | 0% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 76.3% |
Calm | 98.6% |
Angry | 0.4% |
Surprised | 0.3% |
Sad | 0.2% |
Confused | 0.2% |
Happy | 0.2% |
Fear | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 99.9% |
Calm | 99.6% |
Happy | 0.1% |
Confused | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |
Sad | 0% |
Angry | 0% |
Fear | 0% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 87.3% |
Calm | 98% |
Angry | 1.2% |
Confused | 0.4% |
Happy | 0.1% |
Sad | 0.1% |
Surprised | 0.1% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 72.5% |
Calm | 99.4% |
Angry | 0.2% |
Sad | 0.1% |
Happy | 0.1% |
Surprised | 0.1% |
Confused | 0.1% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 99.5% |
Calm | 99.9% |
Sad | 0% |
Angry | 0% |
Surprised | 0% |
Confused | 0% |
Disgusted | 0% |
Happy | 0% |
Fear | 0% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 98.9% |
Calm | 51.6% |
Happy | 21.6% |
Surprised | 9.3% |
Confused | 8% |
Fear | 2.6% |
Sad | 2.5% |
Disgusted | 2.3% |
Angry | 2.1% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 98.4% |
Calm | 98.2% |
Sad | 0.5% |
Happy | 0.4% |
Surprised | 0.2% |
Confused | 0.2% |
Angry | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 95.8% |
Calm | 89.5% |
Happy | 4.7% |
Confused | 2% |
Surprised | 1.5% |
Angry | 0.9% |
Sad | 0.8% |
Fear | 0.5% |
Disgusted | 0.2% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.8% |
Calm | 99.6% |
Happy | 0.1% |
Sad | 0.1% |
Confused | 0.1% |
Surprised | 0.1% |
Angry | 0% |
Fear | 0% |
Disgusted | 0% |

Microsoft Cognitive Services
Age | 24 |
Gender | Female |

Microsoft Cognitive Services
Age | 33 |
Gender | Female |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Microsoft Cognitive Services
Age | 27 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Female |

Microsoft Cognitive Services
Age | 39 |
Gender | Female |

Microsoft Cognitive Services
Age | 24 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 28 |
Gender | Male |

Microsoft Cognitive Services
Age | 25 |
Gender | Female |

Microsoft Cognitive Services
Age | 27 |
Gender | Female |

Microsoft Cognitive Services
Age | 44 |
Gender | Female |

Microsoft Cognitive Services
Age | 33 |
Gender | Female |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Female |

Microsoft Cognitive Services
Age | 29 |
Gender | Male |

Microsoft Cognitive Services
Age | 24 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 39 |
Gender | Female |

Microsoft Cognitive Services
Age | 35 |
Gender | Male |

Microsoft Cognitive Services
Age | 33 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | 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 | 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 | 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 | 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 | 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 | 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 |
Feature analysis
Amazon
Person
Poster

Person | 99.2% | |
|

Person | 98.8% | |
|

Person | 98.6% | |
|

Person | 98.4% | |
|

Person | 98.1% | |
|

Person | 97.9% | |
|

Person | 97.9% | |
|

Person | 97.7% | |
|

Person | 97.2% | |
|

Person | 96.3% | |
|

Person | 95.9% | |
|

Person | 94.6% | |
|

Person | 93% | |
|

Person | 92.8% | |
|

Person | 92.6% | |
|

Person | 92.4% | |
|

Person | 91.7% | |
|

Person | 90.9% | |
|

Person | 90.5% | |
|

Person | 89.1% | |
|

Person | 86.5% | |
|

Person | 80.2% | |
|

Person | 77.8% | |
|

Poster | 58.6% | |
|
Categories
Imagga
paintings art | 93% | |
| ||
text visuals | 5.4% | |
|
Captions
Microsoft
created on 2022-01-23
Charles Ingalls et al. posing for a photo | 87.1% | |
| ||
a group of kids posing for a photo | 59% | |
| ||
a group of men posing for a photo | 58.9% | |
|
Text analysis
Amazon

1931

H.S. 1931

H.S.

WILLIAMS

WILLIAMS
H.S. 1931

WILLIAMS

H.S.

1931