Machine Generated Data
Tags
Amazon
created on 2019-06-05
School | 99.9 | |
| ||
Indoors | 99.8 | |
| ||
Room | 99.8 | |
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Classroom | 99.8 | |
| ||
Person | 98.3 | |
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Human | 98.3 | |
| ||
Person | 97.6 | |
| ||
Person | 97.1 | |
| ||
Person | 97 | |
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Person | 94.7 | |
| ||
Person | 91.2 | |
| ||
Person | 89.9 | |
| ||
Person | 89.7 | |
| ||
Person | 87.1 | |
| ||
Person | 82.1 | |
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Advertisement | 75.9 | |
| ||
Poster | 75.9 | |
| ||
Person | 75.4 | |
| ||
Person | 63.1 | |
| ||
Person | 62.8 | |
| ||
People | 61.1 | |
| ||
Person | 60.6 | |
| ||
Person | 60.5 | |
| ||
Person | 48.8 | |
| ||
Person | 48.7 | |
|
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
Google
created on 2019-06-05
Photograph | 96.5 | |
| ||
Text | 89.7 | |
| ||
Snapshot | 85.1 | |
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Room | 78 | |
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Picture frame | 69.4 | |
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Adaptation | 67 | |
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Photography | 62.4 | |
| ||
History | 54.1 | |
| ||
Square | 52.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Angry | 49.6% |
Sad | 49.5% |
Disgusted | 50.1% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.7% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 49.5% |
Disgusted | 49.5% |
Angry | 50.3% |
Calm | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.5% |
Angry | 49.5% |
Happy | 49.7% |
Calm | 49.5% |
Confused | 49.5% |
Sad | 50.2% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Sad | 50% |
Angry | 49.6% |
Disgusted | 49.6% |
Surprised | 49.5% |
Happy | 49.6% |
Calm | 49.7% |
Confused | 49.5% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.1% |
Calm | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Sad | 50.2% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50% |
Happy | 49.5% |
Disgusted | 49.7% |
Sad | 49.6% |
Surprised | 49.5% |
Confused | 49.6% |
Calm | 49.6% |
Angry | 50% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.4% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 50% |
Surprised | 49.6% |
Happy | 49.7% |
Sad | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.5% |
Calm | 49.6% |
Disgusted | 49.5% |
Surprised | 49.6% |
Confused | 49.6% |
Angry | 49.7% |
Sad | 49.9% |
Happy | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Sad | 49.6% |
Happy | 49.6% |
Surprised | 49.6% |
Disgusted | 49.7% |
Confused | 49.5% |
Calm | 50% |
Angry | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Calm | 49.7% |
Disgusted | 49.6% |
Angry | 49.6% |
Happy | 49.6% |
Sad | 49.8% |
Surprised | 49.6% |
Confused | 49.6% |
Feature analysis
Categories
Imagga
text visuals | 71.9% | |
| ||
paintings art | 21.2% | |
| ||
streetview architecture | 4.9% | |
|
Captions
Microsoft
created on 2019-06-05
a close up of a sign | 58.8% | |
| ||
a sign for a photo | 38.5% | |
| ||
a group of people in a room | 38.4% | |
|
Text analysis
Amazon

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Examples of the Adaptation of Edneation to Special City Needs

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Examples of the Adaptation of Education to Special City Needs
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Vocation Playground. (ndoon)
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Schools

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Education

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