Machine Generated Data
Tags
Amazon
created on 2019-06-05
Human | 98.8 | |
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Person | 98.8 | |
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Person | 98.2 | |
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Person | 96.2 | |
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Person | 94.3 | |
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Person | 89.6 | |
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Building | 89 | |
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Furniture | 88.3 | |
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Chair | 88.3 | |
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Person | 86.5 | |
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Room | 85.5 | |
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Indoors | 85.5 | |
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Person | 84.9 | |
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Factory | 83.9 | |
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Clinic | 79.9 | |
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Person | 73.7 | |
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Workshop | 73.1 | |
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Crowd | 62.6 | |
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Classroom | 59.7 | |
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School | 59.7 | |
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Restaurant | 57 | |
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Cafeteria | 57 | |
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Chair | 56.9 | |
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Assembly Line | 56.1 | |
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Person | 52.8 | |
|
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
classroom | 33.8 | |
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man | 31.6 | |
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male | 29.1 | |
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people | 29 | |
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person | 25.9 | |
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group | 21.7 | |
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room | 21.6 | |
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teacher | 20.9 | |
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education | 18.2 | |
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business | 17.6 | |
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student | 17.5 | |
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blackboard | 16.5 | |
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businessman | 15.9 | |
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school | 15.8 | |
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silhouette | 15.7 | |
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board | 15.4 | |
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boy | 14.8 | |
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adult | 14.5 | |
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class | 13.5 | |
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women | 13.4 | |
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job | 13.3 | |
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indoor | 12.8 | |
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table | 12.7 | |
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teaching | 12.7 | |
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modern | 12.6 | |
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team | 12.5 | |
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office | 12.4 | |
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sitting | 12 | |
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black | 12 | |
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happy | 11.9 | |
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work | 11.8 | |
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portrait | 11.6 | |
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musical instrument | 11.5 | |
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professional | 11.2 | |
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desk | 11.2 | |
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study | 11.2 | |
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men | 11.2 | |
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child | 11.1 | |
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smiling | 10.8 | |
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chair | 10.8 | |
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couple | 10.4 | |
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meeting | 10.4 | |
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two | 10.2 | |
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indoors | 9.7 | |
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studying | 9.6 | |
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design | 9.6 | |
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light | 9.3 | |
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drawing | 9.3 | |
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smile | 9.3 | |
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communication | 9.2 | |
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reflection | 8.9 | |
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to | 8.8 | |
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interior | 8.8 | |
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looking | 8.8 | |
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graphic | 8.7 | |
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lifestyle | 8.7 | |
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executive | 8.6 | |
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gymnasium | 8.6 | |
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grunge | 8.5 | |
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youth | 8.5 | |
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old | 8.4 | |
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teamwork | 8.3 | |
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photographer | 8.3 | |
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handsome | 8 | |
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sax | 7.8 | |
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math | 7.8 | |
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students | 7.8 | |
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exam | 7.7 | |
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wind instrument | 7.6 | |
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college | 7.6 | |
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career | 7.6 | |
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mature | 7.4 | |
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inside | 7.4 | |
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occupation | 7.3 | |
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facility | 7.3 | |
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love | 7.1 | |
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kid | 7.1 | |
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working | 7.1 | |
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happiness | 7 | |
|
Google
created on 2019-06-05
Photograph | 96.1 | |
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Snapshot | 88.2 | |
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Room | 71.4 | |
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Photography | 67.8 | |
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History | 60.4 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 19-36 |
Gender | Female, 52.8% |
Sad | 52.2% |
Angry | 45.2% |
Disgusted | 45.1% |
Surprised | 45.2% |
Happy | 45.2% |
Calm | 46.8% |
Confused | 45.3% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 54.6% |
Surprised | 45.1% |
Sad | 45% |
Disgusted | 45.2% |
Happy | 45% |
Confused | 45% |
Calm | 45.1% |
Angry | 54.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 54.2% |
Angry | 45.1% |
Disgusted | 45% |
Sad | 54.6% |
Happy | 45% |
Confused | 45% |
Surprised | 45% |
Calm | 45.2% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 54% |
Disgusted | 45% |
Confused | 45% |
Sad | 51.7% |
Angry | 45.1% |
Happy | 48.1% |
Surprised | 45% |
Calm | 45.1% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 54.7% |
Calm | 45.1% |
Surprised | 45% |
Happy | 45.1% |
Disgusted | 45% |
Angry | 45.6% |
Sad | 54.1% |
Confused | 45% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 54.8% |
Surprised | 45.1% |
Disgusted | 45.1% |
Sad | 53.1% |
Calm | 46.3% |
Happy | 45.1% |
Confused | 45.1% |
Angry | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.4% |
Calm | 45.1% |
Disgusted | 45.1% |
Surprised | 45% |
Confused | 45% |
Angry | 45% |
Sad | 54.6% |
Happy | 45.1% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 54.9% |
Confused | 45.1% |
Angry | 45.6% |
Disgusted | 45.5% |
Calm | 45.9% |
Happy | 47.7% |
Surprised | 45.2% |
Sad | 50.1% |

AWS Rekognition
Age | 45-66 |
Gender | Male, 50.2% |
Angry | 49.5% |
Sad | 49.8% |
Calm | 49.9% |
Surprised | 49.6% |
Confused | 49.6% |
Disgusted | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.1% |
Surprised | 45.4% |
Sad | 46.2% |
Disgusted | 46.3% |
Happy | 45.6% |
Confused | 45.4% |
Calm | 50.2% |
Angry | 46% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.2% |
Calm | 50% |
Sad | 49.7% |
Angry | 49.6% |
Confused | 49.6% |
Happy | 49.6% |
Disgusted | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 45-65 |
Gender | Female, 50.3% |
Sad | 49.7% |
Disgusted | 49.6% |
Surprised | 49.6% |
Happy | 49.9% |
Confused | 49.6% |
Calm | 49.6% |
Angry | 49.5% |

Microsoft Cognitive Services
Age | 21 |
Gender | Female |
Feature analysis
Categories
Imagga
interior objects | 98.5% | |
| ||
food drinks | 1.4% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people in a room | 93.8% | |
| ||
a group of people standing in a room | 89.3% | |
| ||
a group of people standing in front of a window | 69% | |
|
Text analysis
Amazon

advance

learn

eight

of

girls

stages

and

machine.

easy

the

age

sewing

at

use

and advance by easy stages to the use of the sewing machine.

hand,

The girls learn to sew at the age of eight by hand,

The

by

to

sew

The

girls

sew

age

of

eight

by

advance

easy

the

use

sewing

machine.

The girls learn to sew at the age of eight by hand,
and advance by easy stages to the use of the sewing machine.

learn

to

at

hand,

and

stages