Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
room | 64.5 | |
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classroom | 46.6 | |
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interior | 41.5 | |
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table | 28.9 | |
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restaurant | 28 | |
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chair | 27.5 | |
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furniture | 21.7 | |
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modern | 21 | |
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workshop | 18.4 | |
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kitchen | 18.1 | |
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dining | 18.1 | |
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house | 17.5 | |
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architecture | 16.4 | |
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hospital | 16.2 | |
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home | 15.9 | |
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decor | 15.9 | |
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indoors | 15.8 | |
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shop | 15.7 | |
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inside | 15.6 | |
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indoor | 15.5 | |
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man | 15.4 | |
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cafeteria | 15.3 | |
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floor | 14.9 | |
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design | 14.6 | |
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light | 13.4 | |
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wood | 13.3 | |
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building | 13.1 | |
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people | 12.8 | |
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food | 12.7 | |
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dinner | 12.6 | |
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mercantile establishment | 12.3 | |
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counter | 12.2 | |
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male | 12.1 | |
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machine | 12 | |
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style | 11.9 | |
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hotel | 11.5 | |
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lamp | 11.4 | |
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hall | 11.4 | |
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work | 11.1 | |
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decoration | 10.8 | |
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wooden | 10.5 | |
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person | 10.5 | |
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women | 10.3 | |
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industry | 10.2 | |
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service | 10.2 | |
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glass | 10.1 | |
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barbershop | 9.8 | |
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plant | 9.8 | |
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business | 9.7 | |
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sitting | 9.4 | |
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contemporary | 9.4 | |
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lifestyle | 9.4 | |
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eat | 9.2 | |
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holding | 9.1 | |
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steel | 9 | |
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tables | 8.9 | |
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chairs | 8.8 | |
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apartment | 8.6 | |
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comfortable | 8.6 | |
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wall | 8.5 | |
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seat | 8.5 | |
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center | 8.5 | |
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eating | 8.4 | |
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drink | 8.3 | |
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equipment | 8.3 | |
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window | 8.2 | |
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oven | 8.2 | |
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place of business | 8.1 | |
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factory | 7.9 | |
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men | 7.7 | |
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luxury | 7.7 | |
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lunch | 7.7 | |
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plate | 7.6 | |
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bar | 7.4 | |
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meal | 7.3 | |
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metal | 7.2 | |
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smiling | 7.2 | |
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office | 7.1 | |
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clinic | 7.1 | |
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adult | 7.1 | |
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day | 7.1 | |
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stove | 7 | |
|
Google
created on 2019-06-04
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 45-63 |
Gender | Male, 54.2% |
Surprised | 45% |
Calm | 45% |
Happy | 45% |
Sad | 54.7% |
Angry | 45.2% |
Confused | 45% |
Disgusted | 45% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.9% |
Confused | 45.5% |
Sad | 45.4% |
Angry | 45.6% |
Disgusted | 49.5% |
Calm | 46.5% |
Surprised | 45.8% |
Happy | 46.6% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.4% |
Sad | 48.9% |
Disgusted | 45.3% |
Angry | 49% |
Surprised | 45.4% |
Calm | 45.4% |
Confused | 45.6% |
Happy | 45.4% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 54.4% |
Calm | 45.6% |
Disgusted | 45.1% |
Confused | 45.2% |
Angry | 45.4% |
Happy | 45.1% |
Sad | 53.7% |
Surprised | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.8% |
Confused | 45.5% |
Calm | 51.6% |
Happy | 45.7% |
Surprised | 45.6% |
Sad | 45.9% |
Angry | 45.5% |
Disgusted | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.8% |
Angry | 45.2% |
Surprised | 45.3% |
Confused | 45.2% |
Sad | 45.9% |
Disgusted | 46.3% |
Happy | 45.9% |
Calm | 51.2% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 52.5% |
Calm | 49.4% |
Happy | 45.5% |
Surprised | 45.5% |
Sad | 47.8% |
Angry | 45.8% |
Disgusted | 45.5% |
Confused | 45.5% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 50.1% |
Happy | 49.6% |
Angry | 49.6% |
Calm | 49.8% |
Disgusted | 49.6% |
Sad | 49.8% |
Confused | 49.5% |
Surprised | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Sad | 49.6% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 50.2% |
Feature analysis
Categories
Imagga
streetview architecture | 56.9% | |
| ||
paintings art | 36.1% | |
| ||
interior objects | 5.1% | |
|
Captions
Microsoft
created on 2019-06-04
an old photo of a group of people sitting at a table | 93% | |
| ||
a group of people sitting at a table | 92.1% | |
| ||
a group of people sitting around a table | 92% | |
|
Text analysis
Amazon

MM

59

59