Machine Generated Data
Tags
Amazon
created on 2022-01-28
Clarifai
created on 2023-10-27
Imagga
created on 2022-01-28
blackboard | 68.2 | |
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monitor | 28.6 | |
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web site | 22.6 | |
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television | 22.2 | |
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screen | 18.5 | |
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frame | 17.5 | |
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grunge | 17 | |
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design | 16.9 | |
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business | 16.4 | |
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black | 16.2 | |
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computer | 16.1 | |
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old | 16 | |
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room | 15.4 | |
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graphic | 15.3 | |
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classroom | 15.2 | |
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vintage | 14.9 | |
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man | 14.1 | |
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pattern | 13.7 | |
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office | 13.3 | |
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retro | 13.1 | |
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freight car | 13 | |
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art | 13 | |
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text | 12.2 | |
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film | 11.9 | |
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equipment | 11.8 | |
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people | 11.7 | |
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space | 11.6 | |
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digital | 11.3 | |
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cinema | 11.3 | |
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structure | 11.3 | |
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modern | 11.2 | |
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electronic equipment | 11.1 | |
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entertainment | 11 | |
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decoration | 11 | |
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paint | 10.9 | |
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dirty | 10.8 | |
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movie | 10.7 | |
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antique | 10.4 | |
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finance | 10.1 | |
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building | 9.9 | |
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border | 9.9 | |
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male | 9.9 | |
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telecommunication system | 9.9 | |
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chalkboard | 9.8 | |
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liquid crystal display | 9.8 | |
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texture | 9.7 | |
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car | 9.7 | |
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technology | 9.6 | |
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billboard | 9.3 | |
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school | 9.3 | |
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house | 9.2 | |
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silhouette | 9.1 | |
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success | 8.8 | |
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drawing | 8.7 | |
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wheeled vehicle | 8.5 | |
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rough | 8.2 | |
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happy | 8.1 | |
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board | 8.1 | |
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team | 8.1 | |
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home | 8 | |
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businessman | 7.9 | |
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paper | 7.9 | |
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designed | 7.9 | |
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noise | 7.8 | |
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scratch | 7.8 | |
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education | 7.8 | |
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collage | 7.7 | |
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damaged | 7.6 | |
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grungy | 7.6 | |
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theater | 7.5 | |
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university | 7.4 | |
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copy space | 7.2 | |
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financial | 7.1 | |
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information | 7.1 | |
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display | 7.1 | |
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architecture | 7 | |
|
Google
created on 2022-01-28
Rectangle | 85.9 | |
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Art | 82 | |
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Font | 81.1 | |
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Window | 73.9 | |
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Monochrome photography | 72.9 | |
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Monochrome | 71.8 | |
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Event | 71.5 | |
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Door | 71.4 | |
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Wood | 70.9 | |
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Visual arts | 69.7 | |
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Room | 66.1 | |
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Painting | 63.7 | |
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Pattern | 63.6 | |
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Illustration | 63.3 | |
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Plant | 61.6 | |
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History | 60.5 | |
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Picture frame | 60.4 | |
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Facade | 58.4 | |
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Photo caption | 55.1 | |
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Display device | 52.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 40-48 |
Gender | Male, 91% |
Calm | 46.3% |
Sad | 37.8% |
Happy | 14.1% |
Confused | 0.5% |
Disgusted | 0.5% |
Angry | 0.4% |
Fear | 0.2% |
Surprised | 0.2% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 98.3% |
Confused | 75.2% |
Sad | 20% |
Calm | 1.8% |
Disgusted | 0.9% |
Happy | 0.8% |
Angry | 0.6% |
Surprised | 0.4% |
Fear | 0.3% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 53.9% |
Sad | 60.8% |
Disgusted | 14.5% |
Calm | 8.7% |
Confused | 5% |
Happy | 3.6% |
Angry | 3.2% |
Fear | 2.5% |
Surprised | 1.5% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 85.8% |
Calm | 45.2% |
Happy | 26.1% |
Sad | 8.4% |
Fear | 6.4% |
Surprised | 5.4% |
Angry | 3.3% |
Confused | 2.9% |
Disgusted | 2.3% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 91.2% |
Sad | 95.3% |
Calm | 3.5% |
Confused | 0.3% |
Fear | 0.2% |
Angry | 0.2% |
Happy | 0.2% |
Surprised | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 99.7% |
Calm | 64.3% |
Sad | 27.6% |
Happy | 2.7% |
Confused | 1.5% |
Surprised | 1.3% |
Angry | 1% |
Disgusted | 0.9% |
Fear | 0.7% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.6% |
Sad | 86.2% |
Calm | 8.4% |
Angry | 1.2% |
Disgusted | 0.9% |
Fear | 0.9% |
Surprised | 0.8% |
Happy | 0.8% |
Confused | 0.7% |

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 unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |

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

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 |
Feature analysis
Categories
Imagga
interior objects | 87.6% | |
| ||
streetview architecture | 8.8% | |
| ||
text visuals | 1.5% | |
| ||
food drinks | 1% | |
|
Captions
Microsoft
created on 2022-01-28
a vintage photo of a group of people posing for the camera | 59.2% | |
| ||
a vintage photo of a group of people posing for a picture | 59.1% | |
| ||
a vintage photo of a group of people in a room | 59% | |
|
Text analysis
Amazon

FILM

KODAK

2

3

KODAK SAFETY

ILM

JULiE

SAFETY

ktu

Date

LM
KODAK
S'AFETY
FILM
KODAK
S'AFETY

LM

KODAK

S'AFETY

FILM