Machine Generated Data
Tags
Amazon
created on 2019-11-16
Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
dumbbell | 39.8 | |
| ||
weight | 34.4 | |
| ||
support | 34.1 | |
| ||
coat hanger | 30.7 | |
| ||
hanger | 29.5 | |
| ||
equipment | 24.7 | |
| ||
sports equipment | 24.4 | |
| ||
baluster | 21.2 | |
| ||
3d | 13.2 | |
| ||
abacus | 12.1 | |
| ||
row | 11.2 | |
| ||
room | 10.9 | |
| ||
business | 10.9 | |
| ||
shop | 10.7 | |
| ||
interior | 10.6 | |
| ||
railing | 9.7 | |
| ||
store | 9.4 | |
| ||
glass | 9.3 | |
| ||
house | 9.2 | |
| ||
device | 9 | |
| ||
people | 8.9 | |
| ||
calculator | 8.8 | |
| ||
wine | 8.5 | |
| ||
design | 8.4 | |
| ||
furniture | 8.2 | |
| ||
technology | 8.2 | |
| ||
man | 8.1 | |
| ||
balcony | 8 | |
| ||
home | 8 | |
| ||
wooden | 7.9 | |
| ||
male | 7.8 | |
| ||
color | 7.8 | |
| ||
men | 7.7 | |
| ||
flag | 7.6 | |
| ||
sign | 7.5 | |
| ||
rack | 7.4 | |
| ||
black | 7.3 | |
| ||
group | 7.2 | |
| ||
metal | 7.2 | |
| ||
clothing | 7.2 | |
| ||
paper | 7.1 | |
| ||
market | 7.1 | |
| ||
architecture | 7 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-35 |
Gender | Female, 54.8% |
Disgusted | 45.2% |
Angry | 45.2% |
Confused | 45.3% |
Sad | 45.1% |
Calm | 46.5% |
Happy | 51.3% |
Fear | 45.5% |
Surprised | 45.9% |

AWS Rekognition
Age | 21-33 |
Gender | Female, 52.2% |
Happy | 45.9% |
Sad | 45.2% |
Confused | 45.1% |
Disgusted | 45.1% |
Angry | 45.1% |
Surprised | 45.1% |
Calm | 53.5% |
Fear | 45% |

AWS Rekognition
Age | 13-23 |
Gender | Female, 54.8% |
Angry | 45.1% |
Happy | 54.4% |
Fear | 45.1% |
Disgusted | 45.1% |
Sad | 45.1% |
Calm | 45.1% |
Surprised | 45.1% |
Confused | 45.1% |

AWS Rekognition
Age | 26-42 |
Gender | Male, 54.3% |
Calm | 45% |
Sad | 45% |
Confused | 45% |
Happy | 52.6% |
Angry | 45% |
Disgusted | 45% |
Fear | 45% |
Surprised | 47.3% |

AWS Rekognition
Age | 17-29 |
Gender | Female, 54.8% |
Confused | 45% |
Surprised | 45% |
Happy | 54.9% |
Sad | 45% |
Disgusted | 45% |
Angry | 45% |
Calm | 45% |
Fear | 45% |

AWS Rekognition
Age | 23-35 |
Gender | Female, 54.9% |
Sad | 45% |
Fear | 45% |
Disgusted | 45% |
Angry | 45% |
Happy | 55% |
Confused | 45% |
Calm | 45% |
Surprised | 45% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 54.6% |
Surprised | 45% |
Fear | 45% |
Happy | 54.9% |
Sad | 45% |
Calm | 45% |
Disgusted | 45% |
Angry | 45% |
Confused | 45% |

AWS Rekognition
Age | 20-32 |
Gender | Male, 52.8% |
Confused | 45% |
Sad | 45% |
Happy | 54.9% |
Angry | 45% |
Fear | 45% |
Disgusted | 45% |
Calm | 45% |
Surprised | 45% |

AWS Rekognition
Age | 7-17 |
Gender | Female, 54.3% |
Calm | 45.1% |
Disgusted | 45% |
Sad | 45% |
Happy | 54.7% |
Angry | 45% |
Fear | 45% |
Surprised | 45.1% |
Confused | 45% |

AWS Rekognition
Age | 21-33 |
Gender | Female, 54.7% |
Happy | 50.9% |
Disgusted | 45.2% |
Fear | 45.3% |
Calm | 45.2% |
Angry | 46.3% |
Confused | 45.1% |
Sad | 45.1% |
Surprised | 46.9% |

AWS Rekognition
Age | 16-28 |
Gender | Female, 55% |
Fear | 45.2% |
Disgusted | 45.5% |
Surprised | 45.2% |
Sad | 45.2% |
Happy | 52.4% |
Confused | 45.4% |
Angry | 45.1% |
Calm | 46% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 50.2% |
Fear | 45.1% |
Surprised | 45.1% |
Angry | 45.2% |
Happy | 54.4% |
Disgusted | 45% |
Confused | 45% |
Sad | 45% |
Calm | 45.1% |

AWS Rekognition
Age | 34-50 |
Gender | Female, 54.9% |
Disgusted | 45% |
Happy | 55% |
Angry | 45% |
Calm | 45% |
Surprised | 45% |
Confused | 45% |
Sad | 45% |
Fear | 45% |

AWS Rekognition
Age | 16-28 |
Gender | Female, 55% |
Confused | 45% |
Calm | 45% |
Surprised | 45% |
Fear | 45.1% |
Happy | 54.7% |
Angry | 45% |
Sad | 45.1% |
Disgusted | 45% |

AWS Rekognition
Age | 15-27 |
Gender | Female, 54.8% |
Angry | 45.2% |
Surprised | 45.1% |
Sad | 45.1% |
Fear | 45% |
Calm | 54.5% |
Happy | 45% |
Confused | 45.1% |
Disgusted | 45% |

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 | Possible |
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 | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
text visuals | 81.2% | |
| ||
interior objects | 7.8% | |
| ||
events parties | 3.8% | |
| ||
cars vehicles | 2.4% | |
| ||
food drinks | 1.9% | |
|
Captions
Microsoft
created on 2019-11-16
a black and white photo of a person | 56.1% | |
| ||
a black and white photo of a person | 52.4% | |
| ||
a black and white photo of a girl | 27.7% | |
|
Text analysis
Amazon

UODPODu

ועיש

ועיש