Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
boutique | 23.9 | |
| ||
outfit | 20.5 | |
| ||
people | 15 | |
| ||
adult | 13.5 | |
| ||
person | 12.6 | |
| ||
interior | 12.4 | |
| ||
clothing | 12.1 | |
| ||
old | 11.8 | |
| ||
group | 11.3 | |
| ||
room | 11 | |
| ||
business | 10.9 | |
| ||
dress | 10.8 | |
| ||
travel | 10.5 | |
| ||
architecture | 10.1 | |
| ||
man | 10.1 | |
| ||
traditional | 10 | |
| ||
fashion | 9.8 | |
| ||
black | 9.6 | |
| ||
home | 9.6 | |
| ||
store | 9.4 | |
| ||
uniform | 9.2 | |
| ||
marimba | 8.9 | |
| ||
women | 8.7 | |
| ||
scene | 8.6 | |
| ||
men | 8.6 | |
| ||
percussion instrument | 8.5 | |
| ||
clothes | 8.4 | |
| ||
house | 8.3 | |
| ||
human | 8.2 | |
| ||
indoor | 8.2 | |
| ||
musical instrument | 8.2 | |
| ||
building | 8.1 | |
| ||
table | 7.8 | |
| ||
glass | 7.8 | |
| ||
modern | 7.7 | |
| ||
culture | 7.7 | |
| ||
casual | 7.6 | |
| ||
shop | 7.6 | |
| ||
tourism | 7.4 | |
| ||
window | 7.3 | |
| ||
jacket | 7.2 | |
| ||
work | 7.1 | |
| ||
teacher | 7 | |
|
Google
created on 2019-06-05
Photograph | 96.5 | |
| ||
Snapshot | 86.2 | |
| ||
Vintage clothing | 71.2 | |
| ||
Family | 54.3 | |
| ||
History | 54.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.1% |
Calm | 53% |
Disgusted | 45.2% |
Angry | 45.3% |
Happy | 45.1% |
Sad | 46.2% |
Surprised | 45.1% |
Confused | 45.1% |

AWS Rekognition
Age | 45-65 |
Gender | Male, 54.8% |
Calm | 49.6% |
Disgusted | 45.2% |
Surprised | 47.2% |
Angry | 45.3% |
Sad | 45.3% |
Confused | 45.4% |
Happy | 47% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.2% |
Disgusted | 45.2% |
Confused | 45.3% |
Surprised | 46.5% |
Calm | 52% |
Happy | 45.2% |
Angry | 45.5% |
Sad | 45.3% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 54.6% |
Confused | 45.2% |
Calm | 53.8% |
Disgusted | 45.1% |
Sad | 45.4% |
Happy | 45.1% |
Angry | 45.1% |
Surprised | 45.2% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.3% |
Happy | 45.1% |
Angry | 45.1% |
Calm | 54.4% |
Sad | 45.1% |
Surprised | 45.2% |
Confused | 45.1% |
Disgusted | 45.1% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 52.8% |
Disgusted | 45.1% |
Happy | 45.1% |
Angry | 45.1% |
Calm | 45.1% |
Surprised | 45% |
Confused | 45.1% |
Sad | 54.6% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 54.8% |
Happy | 45.3% |
Angry | 45.5% |
Calm | 50% |
Sad | 47.8% |
Surprised | 45.3% |
Confused | 45.7% |
Disgusted | 45.3% |

AWS Rekognition
Age | 45-66 |
Gender | Female, 50% |
Surprised | 45% |
Sad | 54.6% |
Disgusted | 45% |
Calm | 45.2% |
Happy | 45% |
Angry | 45% |
Confused | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.9% |
Disgusted | 45% |
Happy | 54.7% |
Angry | 45% |
Calm | 45.1% |
Surprised | 45% |
Confused | 45% |
Sad | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.2% |
Angry | 45.2% |
Calm | 51.6% |
Surprised | 45.3% |
Sad | 47.1% |
Disgusted | 45.4% |
Happy | 45.3% |
Confused | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.8% |
Sad | 50.9% |
Calm | 46.4% |
Surprised | 45.1% |
Confused | 45.2% |
Disgusted | 45.5% |
Happy | 45.1% |
Angry | 46.8% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.8% |
Angry | 45.3% |
Sad | 49.2% |
Disgusted | 45.1% |
Calm | 47.8% |
Surprised | 45.2% |
Confused | 45.3% |
Happy | 47.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.9% |
Calm | 53.6% |
Disgusted | 45.2% |
Surprised | 45.1% |
Confused | 45.1% |
Angry | 45.3% |
Sad | 45.6% |
Happy | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.8% |
Disgusted | 45.2% |
Confused | 45.8% |
Happy | 45.2% |
Calm | 50.1% |
Surprised | 45.4% |
Sad | 47.6% |
Angry | 45.6% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 53.2% |
Angry | 46.1% |
Disgusted | 46.1% |
Calm | 48.2% |
Surprised | 45.5% |
Happy | 45.2% |
Sad | 48.6% |
Confused | 45.3% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 53.6% |
Surprised | 45.4% |
Happy | 45.3% |
Confused | 45.3% |
Calm | 49.9% |
Disgusted | 45.4% |
Angry | 46.6% |
Sad | 47.1% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Angry | 45.5% |
Surprised | 45.9% |
Disgusted | 46.3% |
Sad | 46% |
Happy | 45.3% |
Confused | 45.7% |
Calm | 50.3% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.7% |
Disgusted | 45.2% |
Confused | 45.5% |
Surprised | 45.3% |
Calm | 49.2% |
Happy | 45.2% |
Angry | 45.7% |
Sad | 48.9% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52% |
Calm | 46.7% |
Surprised | 45.2% |
Happy | 45.2% |
Angry | 48.9% |
Confused | 45.1% |
Sad | 45.4% |
Disgusted | 48.5% |

AWS Rekognition
Age | 45-65 |
Gender | Male, 54% |
Calm | 46.5% |
Surprised | 45.1% |
Confused | 45.4% |
Sad | 45.2% |
Angry | 45.8% |
Disgusted | 51.8% |
Happy | 45.2% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 53.7% |
Surprised | 45.6% |
Disgusted | 45.6% |
Angry | 45.7% |
Sad | 50.9% |
Happy | 45.8% |
Confused | 45.4% |
Calm | 46% |

AWS Rekognition
Age | 45-65 |
Gender | Female, 50.1% |
Angry | 45.6% |
Confused | 45.6% |
Calm | 47.4% |
Surprised | 45.7% |
Sad | 48.1% |
Happy | 46.8% |
Disgusted | 45.7% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 53% |
Surprised | 45.2% |
Angry | 45.4% |
Sad | 53.5% |
Happy | 45.1% |
Disgusted | 45.1% |
Calm | 45.6% |
Confused | 45.2% |

AWS Rekognition
Age | 38-57 |
Gender | Female, 50.7% |
Confused | 45.2% |
Angry | 45.6% |
Disgusted | 46.1% |
Calm | 45.9% |
Happy | 45.4% |
Surprised | 45.2% |
Sad | 51.7% |

Microsoft Cognitive Services
Age | 50 |
Gender | Male |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Female |

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 | 46.6% | |
| ||
events parties | 15.7% | |
| ||
people portraits | 11.6% | |
| ||
paintings art | 11% | |
| ||
food drinks | 8.4% | |
| ||
text visuals | 2.6% | |
| ||
streetview architecture | 1.5% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of a group of people standing in front of a store | 81% | |
| ||
a vintage photo of a group of people standing in a room | 80.9% | |
| ||
a vintage photo of a group of people posing for the camera | 80.8% | |
|
Text analysis
Amazon

HAVE

ADMITTED

RAILROAD

SEVERAL

WAITING

AND

THESE

JMMIGRANTS

O DEPAR'T

SEVERAL DESTINATIONS. THEIR

Q THE RAILROAD FLOOR THESE JMMIGRANTS HAVE BEEN ADMITTED AND ARE WAITING TO O DEPAR'T TO

BEEN

FLOOR

THEIR

THE

DESTINATIONS.

Q

TO

ARE

PE
OM THE RAILROAD FLOOR
THESE JMMIGRANTS HAVE BEEN ADMITTED AND ARE WAITING TO DEPART TO THEIR
SEVERAL DESTINATIONS

PE

OM

THE

RAILROAD

FLOOR

THESE

JMMIGRANTS

HAVE

BEEN

ADMITTED

AND

ARE

WAITING

TO

DEPART

THEIR

SEVERAL

DESTINATIONS