Machine Generated Data
Tags
Amazon
created on 2019-06-07
Human | 97.7 | |
| ||
Person | 97.7 | |
| ||
Person | 97.5 | |
| ||
Person | 97.2 | |
| ||
Person | 97.2 | |
| ||
Room | 96.8 | |
| ||
Indoors | 96.8 | |
| ||
Person | 94 | |
| ||
Person | 90.5 | |
| ||
Person | 86.7 | |
| ||
Person | 85 | |
| ||
Person | 81.4 | |
| ||
Court | 80.3 | |
| ||
Person | 78.2 | |
| ||
Waiting Room | 76.1 | |
| ||
Crowd | 75 | |
| ||
Person | 74.4 | |
| ||
Person | 73.4 | |
| ||
Furniture | 67.6 | |
| ||
Art | 66 | |
| ||
Painting | 66 | |
| ||
Reception | 65.7 | |
| ||
Reception Room | 65.7 | |
| ||
Audience | 64.9 | |
| ||
Person | 64.8 | |
| ||
People | 64 | |
| ||
Jury | 57.9 | |
| ||
Pub | 56.9 | |
| ||
Person | 49.2 | |
|
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
room | 28.7 | |
| ||
man | 25.5 | |
| ||
piano | 23.1 | |
| ||
chair | 22 | |
| ||
stringed instrument | 21.6 | |
| ||
percussion instrument | 21.4 | |
| ||
musical instrument | 21.2 | |
| ||
male | 20.5 | |
| ||
people | 20.1 | |
| ||
sitting | 19.7 | |
| ||
keyboard instrument | 19.2 | |
| ||
interior | 18.5 | |
| ||
grand piano | 18 | |
| ||
indoors | 17.5 | |
| ||
person | 16.9 | |
| ||
classroom | 15.1 | |
| ||
lifestyle | 14.4 | |
| ||
home | 14.3 | |
| ||
women | 14.2 | |
| ||
old | 13.9 | |
| ||
men | 13.7 | |
| ||
light | 13.3 | |
| ||
device | 13.3 | |
| ||
adult | 12.4 | |
| ||
smiling | 12.3 | |
| ||
black | 12.1 | |
| ||
business | 11.5 | |
| ||
couple | 11.3 | |
| ||
happy | 11.3 | |
| ||
table | 11.2 | |
| ||
upright | 11 | |
| ||
style | 10.4 | |
| ||
fire | 10.3 | |
| ||
window | 10.3 | |
| ||
restaurant | 10.2 | |
| ||
architecture | 10.1 | |
| ||
inside | 10.1 | |
| ||
indoor | 10 | |
| ||
smile | 10 | |
| ||
fashion | 9.8 | |
| ||
luxury | 9.4 | |
| ||
friends | 9.4 | |
| ||
furniture | 9.3 | |
| ||
house | 9.2 | |
| ||
holding | 9.1 | |
| ||
office | 8.9 | |
| ||
cheerful | 8.9 | |
| ||
group | 8.9 | |
| ||
steel | 8.8 | |
| ||
fireplace | 8.7 | |
| ||
wall | 8.7 | |
| ||
work | 8.6 | |
| ||
industry | 8.5 | |
| ||
living | 8.5 | |
| ||
two | 8.5 | |
| ||
passion | 8.5 | |
| ||
senior | 8.4 | |
| ||
modern | 8.4 | |
| ||
portrait | 8.4 | |
| ||
relaxation | 8.4 | |
| ||
smoke | 8.4 | |
| ||
leisure | 8.3 | |
| ||
fun | 8.2 | |
| ||
relaxing | 8.2 | |
| ||
looking | 8 | |
| ||
happiness | 7.8 | |
| ||
lamp | 7.8 | |
| ||
color | 7.8 | |
| ||
glass | 7.8 | |
| ||
attractive | 7.7 | |
| ||
technology | 7.4 | |
| ||
industrial | 7.3 | |
| ||
decoration | 7.2 | |
| ||
dress | 7.2 | |
| ||
sexy | 7.2 | |
| ||
night | 7.1 | |
|
Google
created on 2019-06-07
Photograph | 96.1 | |
| ||
Snapshot | 85.2 | |
| ||
Room | 65.7 | |
| ||
Photography | 62.4 | |
| ||
Stock photography | 62.1 | |
| ||
Vintage clothing | 52.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-44 |
Gender | Male, 54.6% |
Disgusted | 45.1% |
Sad | 45.5% |
Angry | 45.4% |
Calm | 52.6% |
Confused | 45.3% |
Surprised | 45.5% |
Happy | 45.6% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.1% |
Angry | 51.8% |
Surprised | 45.1% |
Sad | 45.8% |
Confused | 45.1% |
Happy | 45.1% |
Calm | 46.7% |
Disgusted | 45.3% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.6% |
Confused | 45.3% |
Sad | 49.3% |
Disgusted | 46.5% |
Calm | 47.8% |
Happy | 45.1% |
Surprised | 45.2% |
Angry | 45.9% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.5% |
Disgusted | 45.2% |
Confused | 45.4% |
Happy | 45.1% |
Calm | 49.9% |
Surprised | 45.3% |
Angry | 45.5% |
Sad | 48.6% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 54.1% |
Surprised | 45.3% |
Disgusted | 45.1% |
Sad | 49.1% |
Angry | 49.5% |
Confused | 45.2% |
Calm | 45.2% |
Happy | 45.6% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 54.8% |
Calm | 53.4% |
Happy | 45.1% |
Disgusted | 45.1% |
Surprised | 45.2% |
Angry | 45.3% |
Sad | 45.7% |
Confused | 45.3% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 53.4% |
Disgusted | 48.5% |
Angry | 45.4% |
Surprised | 45.6% |
Sad | 46.5% |
Calm | 47.9% |
Confused | 45.2% |
Happy | 45.8% |

AWS Rekognition
Age | 60-90 |
Gender | Male, 50.3% |
Disgusted | 45.2% |
Confused | 45.2% |
Surprised | 45.2% |
Calm | 51.1% |
Happy | 45.1% |
Angry | 46% |
Sad | 47.1% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 51.1% |
Disgusted | 47% |
Surprised | 45.3% |
Happy | 45.4% |
Calm | 50.5% |
Angry | 45.4% |
Sad | 46.1% |
Confused | 45.2% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54% |
Disgusted | 45.1% |
Surprised | 45.2% |
Confused | 45.2% |
Calm | 45.6% |
Angry | 47.9% |
Happy | 45.2% |
Sad | 50.9% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 52.2% |
Confused | 45.2% |
Calm | 48.4% |
Happy | 45.8% |
Disgusted | 45.1% |
Sad | 49.8% |
Angry | 45.3% |
Surprised | 45.2% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50.1% |
Sad | 48.8% |
Calm | 46% |
Angry | 45.7% |
Happy | 48.1% |
Disgusted | 45.4% |
Confused | 45.5% |
Surprised | 45.4% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 50.7% |
Disgusted | 48.6% |
Angry | 47% |
Surprised | 45.4% |
Sad | 46.1% |
Calm | 46.9% |
Confused | 45.3% |
Happy | 45.6% |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
Gender | Male |

Microsoft Cognitive Services
Age | 56 |
Gender | Male |

Microsoft Cognitive Services
Age | 50 |
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 |
Feature analysis
Categories
Imagga
events parties | 41.6% | |
| ||
interior objects | 40.2% | |
| ||
people portraits | 12% | |
| ||
streetview architecture | 2.4% | |
| ||
food drinks | 1.2% | |
|
Captions
Microsoft
created on 2019-06-07
Text analysis
Amazon

16