Machine Generated Data
Tags
Amazon
created on 2019-06-07
Furniture | 99.4 | |
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Chair | 99.4 | |
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Human | 98.6 | |
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Person | 98.6 | |
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Person | 98 | |
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Person | 97.7 | |
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Person | 97.6 | |
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Restaurant | 96.6 | |
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Chair | 95.9 | |
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Person | 94 | |
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Chair | 91.7 | |
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Person | 91.6 | |
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Indoors | 88.7 | |
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Room | 88.7 | |
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Person | 84.9 | |
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Chair | 81.1 | |
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Cafeteria | 81 | |
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Food | 79 | |
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Food Court | 77.8 | |
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Meal | 73.5 | |
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Person | 71.2 | |
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Classroom | 66.3 | |
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School | 66.3 | |
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Table | 61.5 | |
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Dining Table | 61.3 | |
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Cafe | 57.7 | |
|
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
room | 96.1 | |
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classroom | 87.4 | |
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chair | 50.2 | |
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table | 45.5 | |
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interior | 38.9 | |
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furniture | 29 | |
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wood | 21.7 | |
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empty | 21.5 | |
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floor | 21.4 | |
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chairs | 20.5 | |
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restaurant | 20 | |
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house | 20 | |
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seat | 19.6 | |
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inside | 18.4 | |
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modern | 18.2 | |
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indoors | 17.6 | |
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design | 16.9 | |
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home | 16.7 | |
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window | 15.7 | |
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building | 15.7 | |
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architecture | 14 | |
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relaxation | 13.4 | |
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glass | 13.2 | |
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contemporary | 13.2 | |
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lifestyle | 13 | |
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office | 12.8 | |
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light | 12.7 | |
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business | 12.1 | |
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style | 11.9 | |
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tables | 11.8 | |
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relax | 11.8 | |
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planner | 11.8 | |
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person | 11.6 | |
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decor | 11.5 | |
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dining | 11.4 | |
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people | 11.1 | |
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wall | 11.1 | |
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decoration | 11 | |
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indoor | 10.9 | |
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dinner | 10.9 | |
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comfortable | 10.5 | |
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urban | 10.5 | |
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sun | 10.5 | |
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eat | 10.1 | |
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food | 9.8 | |
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scene | 9.5 | |
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sitting | 9.4 | |
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lunch | 9.4 | |
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luxury | 9.4 | |
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nobody | 9.3 | |
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travel | 9.1 | |
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hall | 9.1 | |
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cafeteria | 9.1 | |
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plant | 9 | |
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day | 8.6 | |
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hotel | 8.6 | |
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school | 8.5 | |
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elegance | 8.4 | |
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summer | 8.4 | |
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drink | 8.3 | |
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coffee | 8.3 | |
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city | 8.3 | |
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man | 8.1 | |
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sunlight | 8 | |
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desk | 7.9 | |
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patio | 7.8 | |
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apartment | 7.7 | |
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communication | 7.6 | |
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structure | 7.5 | |
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place | 7.4 | |
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vacation | 7.4 | |
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women | 7.1 | |
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working | 7.1 | |
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work | 7.1 | |
|
Google
created on 2019-06-07
Photograph | 96 | |
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Room | 88.6 | |
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Table | 87.2 | |
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Snapshot | 86 | |
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Dining room | 83.7 | |
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Furniture | 73.3 | |
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Photography | 67.8 | |
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Family | 60.9 | |
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Black-and-white | 56.4 | |
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Restaurant | 56.3 | |
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Interior design | 54.3 | |
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House | 53.7 | |
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Vintage clothing | 52.1 | |
|
Microsoft
created on 2019-06-07
floor | 98.9 | |
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table | 98.4 | |
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chair | 97.7 | |
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indoor | 97.6 | |
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clothing | 68.2 | |
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kitchen & dining room table | 63.6 | |
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person | 62.4 | |
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coffee table | 53.5 | |
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furniture | 26.6 | |
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family | 16.4 | |
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dining table | 6.5 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 9-14 |
Gender | Female, 54.9% |
Surprised | 45.1% |
Angry | 45.3% |
Calm | 46.7% |
Sad | 52.6% |
Confused | 45.3% |
Disgusted | 45% |
Happy | 45% |

AWS Rekognition
Age | 9-14 |
Gender | Female, 54.7% |
Sad | 50.8% |
Surprised | 45.2% |
Calm | 45.5% |
Disgusted | 45.2% |
Confused | 45.2% |
Angry | 48% |
Happy | 45.2% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 52.4% |
Disgusted | 47.8% |
Confused | 45.2% |
Surprised | 45.2% |
Calm | 46.7% |
Happy | 45.1% |
Angry | 49.7% |
Sad | 45.4% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.4% |
Confused | 45.2% |
Disgusted | 45.3% |
Surprised | 45.1% |
Sad | 50% |
Happy | 45.1% |
Angry | 49% |
Calm | 45.3% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 54.9% |
Confused | 45.1% |
Angry | 45.1% |
Surprised | 45.1% |
Calm | 54.1% |
Sad | 45.6% |
Happy | 45.1% |
Disgusted | 45% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 54.6% |
Happy | 45.5% |
Angry | 45.4% |
Calm | 50.6% |
Sad | 47% |
Confused | 45.7% |
Disgusted | 45.3% |
Surprised | 45.4% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 54.7% |
Surprised | 45.5% |
Disgusted | 45.5% |
Sad | 51.2% |
Angry | 45.7% |
Confused | 45.3% |
Calm | 45.7% |
Happy | 46% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 54.2% |
Surprised | 45% |
Disgusted | 45.1% |
Angry | 54.7% |
Confused | 45% |
Calm | 45% |
Happy | 45% |
Sad | 45.1% |

AWS Rekognition
Age | 60-90 |
Gender | Female, 50.1% |
Surprised | 45.2% |
Confused | 45.3% |
Disgusted | 45.1% |
Angry | 45.8% |
Calm | 47% |
Happy | 45.3% |
Sad | 51.4% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Angry | 49.6% |
Sad | 49.8% |
Happy | 49.5% |
Disgusted | 49.7% |
Calm | 49.7% |
Surprised | 49.6% |
Confused | 49.6% |

Microsoft Cognitive Services
Age | 12 |
Gender | Female |

Microsoft Cognitive Services
Age | 4 |
Gender | Female |

Microsoft Cognitive Services
Age | 27 |
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 |
Feature analysis
Categories
Imagga
events parties | 71.9% | |
| ||
interior objects | 13.7% | |
| ||
people portraits | 8.8% | |
| ||
food drinks | 2.7% | |
| ||
pets animals | 1.3% | |
|
Captions
Microsoft
created on 2019-06-07
a group of people sitting at a table in a room | 92.1% | |
| ||
a group of people in a room | 92% | |
| ||
a group of people sitting in a chair in a room | 91.9% | |
|
Text analysis
Amazon

Cooking

Toble

Closs

Girls' Cooking Closs ot Toble

ot

Girls'

eee
Girls' Cooking Class of Toble

eee

Girls'

Cooking

Class

of

Toble