Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
sequencer | 100 | |
| ||
apparatus | 98.7 | |
| ||
equipment | 97.8 | |
| ||
electronic equipment | 38.2 | |
| ||
equalizer | 37 | |
| ||
film | 25.5 | |
| ||
negative | 20.9 | |
| ||
old | 18.1 | |
| ||
grunge | 17.9 | |
| ||
technology | 17.8 | |
| ||
retro | 17.2 | |
| ||
business | 17 | |
| ||
cinema | 16.6 | |
| ||
vintage | 16.5 | |
| ||
movie | 15.5 | |
| ||
border | 15.4 | |
| ||
computer | 14.4 | |
| ||
frame | 14.1 | |
| ||
texture | 13.9 | |
| ||
digital | 13.8 | |
| ||
slide | 13.7 | |
| ||
black | 13.2 | |
| ||
art | 13 | |
| ||
camera | 12.9 | |
| ||
industry | 12.8 | |
| ||
screen | 12.2 | |
| ||
noise | 11.7 | |
| ||
strip | 11.6 | |
| ||
paper | 11 | |
| ||
filmstrip | 10.8 | |
| ||
scratch | 10.7 | |
| ||
office | 10.4 | |
| ||
graphic | 10.2 | |
| ||
finance | 10.1 | |
| ||
entertainment | 10.1 | |
| ||
rough | 10 | |
| ||
music | 9.9 | |
| ||
photographic | 9.8 | |
| ||
tape | 9.6 | |
| ||
word | 9.4 | |
| ||
data | 9.1 | |
| ||
dirty | 9 | |
| ||
design | 9 | |
| ||
information | 8.9 | |
| ||
text | 8.7 | |
| ||
rust | 8.7 | |
| ||
antique | 8.6 | |
| ||
damaged | 8.6 | |
| ||
close | 8.6 | |
| ||
photography | 8.5 | |
| ||
sound | 8.4 | |
| ||
pattern | 8.2 | |
| ||
35mm | 7.9 | |
| ||
space | 7.8 | |
| ||
panel | 7.7 | |
| ||
collage | 7.7 | |
| ||
edge | 7.7 | |
| ||
audio | 7.6 | |
| ||
roll | 7.6 | |
| ||
grungy | 7.6 | |
| ||
city | 7.5 | |
| ||
element | 7.4 | |
| ||
device | 7.4 | |
| ||
connection | 7.3 | |
| ||
metal | 7.2 | |
| ||
aged | 7.2 | |
| ||
financial | 7.1 | |
|
Google
created on 2022-01-08
Rectangle | 85.2 | |
| ||
Font | 81 | |
| ||
Photographic film | 77.3 | |
| ||
Technology | 75.9 | |
| ||
Electronic device | 74.6 | |
| ||
Display device | 68.6 | |
| ||
Event | 68.3 | |
| ||
Negative | 66.3 | |
| ||
Suit | 63.8 | |
| ||
Multimedia | 58.8 | |
| ||
Monochrome photography | 56.8 | |
| ||
Monochrome | 56.2 | |
| ||
Advertising | 55.4 | |
| ||
Audio equipment | 53.7 | |
| ||
Slope | 51.7 | |
|
Microsoft
created on 2022-01-08
text | 89.6 | |
| ||
indoor | 89 | |
| ||
photographic film | 72.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.7% |
Calm | 69% |
Sad | 18.1% |
Surprised | 3.6% |
Angry | 2.8% |
Confused | 2.4% |
Happy | 1.6% |
Fear | 1.3% |
Disgusted | 1.1% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.9% |
Calm | 84.1% |
Sad | 9% |
Confused | 3.2% |
Surprised | 1.2% |
Fear | 0.7% |
Angry | 0.7% |
Disgusted | 0.6% |
Happy | 0.4% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 100% |
Calm | 99.3% |
Sad | 0.4% |
Confused | 0.1% |
Disgusted | 0% |
Surprised | 0% |
Happy | 0% |
Angry | 0% |
Fear | 0% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 99.3% |
Happy | 44.5% |
Calm | 41.5% |
Sad | 4.9% |
Angry | 4.4% |
Fear | 1.7% |
Confused | 1.4% |
Disgusted | 0.9% |
Surprised | 0.7% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 58.2% |
Calm | 77.4% |
Sad | 21.7% |
Confused | 0.4% |
Surprised | 0.2% |
Happy | 0.1% |
Angry | 0.1% |
Fear | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 99.9% |
Calm | 71.8% |
Sad | 14.8% |
Angry | 7.4% |
Happy | 2.9% |
Fear | 1% |
Confused | 0.9% |
Disgusted | 0.6% |
Surprised | 0.5% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 93.9% |
Calm | 95.1% |
Angry | 2.4% |
Sad | 1.6% |
Confused | 0.3% |
Disgusted | 0.2% |
Surprised | 0.2% |
Fear | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 99.9% |
Calm | 98% |
Angry | 0.8% |
Happy | 0.4% |
Sad | 0.4% |
Fear | 0.1% |
Confused | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 61.8% |
Calm | 97.9% |
Sad | 1.6% |
Fear | 0.1% |
Happy | 0.1% |
Angry | 0.1% |
Confused | 0.1% |
Disgusted | 0% |
Surprised | 0% |

AWS Rekognition
Age | 12-20 |
Gender | Male, 97.2% |
Calm | 93.4% |
Angry | 3% |
Sad | 2.8% |
Confused | 0.3% |
Fear | 0.2% |
Happy | 0.2% |
Disgusted | 0.1% |
Surprised | 0.1% |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

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 |
Feature analysis
Categories
Imagga
streetview architecture | 85.2% | |
| ||
interior objects | 10.9% | |
| ||
text visuals | 1.8% | |
| ||
cars vehicles | 1.3% | |
|
Captions
Microsoft
created on 2022-01-08
a close up of a machine | 63.7% | |
| ||
a large machine in front of a window | 27.3% | |
| ||
close up of a machine | 27.2% | |
|
Text analysis
Amazon

44

42

43

SUPER

5

FILM

SUPER XX

RINGLING

TY FILM

XX

TY

SUPER XX

SUPER

XX