Machine Generated Data
Tags
Amazon
created on 2019-06-04
Person | 98.9 | |
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Human | 98.9 | |
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Person | 98.3 | |
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Clothing | 95.5 | |
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Apparel | 95.5 | |
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Person | 92.4 | |
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Chair | 86.3 | |
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Furniture | 86.3 | |
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Person | 83.7 | |
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Sitting | 83 | |
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Lighting | 81 | |
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Crowd | 79.7 | |
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Person | 75.8 | |
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Building | 71 | |
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Person | 66.9 | |
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Audience | 64.5 | |
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People | 63.8 | |
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Paper | 63.1 | |
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Coat | 62.2 | |
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Indoors | 58.3 | |
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Room | 58.3 | |
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Overcoat | 57 | |
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Painting | 55.8 | |
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Art | 55.8 | |
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Electronics | 55.6 | |
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Display | 55.6 | |
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LCD Screen | 55.6 | |
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Monitor | 55.6 | |
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Screen | 55.6 | |
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Waiting Room | 55.6 | |
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Hat | 55.1 | |
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Person | 45.5 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
hall | 56.7 | |
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room | 54.1 | |
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chair | 51.6 | |
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interior | 44.2 | |
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table | 39.1 | |
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classroom | 34.8 | |
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restaurant | 30.9 | |
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furniture | 25.5 | |
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seat | 24.6 | |
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architecture | 20.3 | |
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indoors | 20.2 | |
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chairs | 19.6 | |
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floor | 19.5 | |
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empty | 18.9 | |
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indoor | 18.3 | |
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modern | 18.2 | |
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glass | 17.9 | |
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wood | 17.5 | |
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home | 16.8 | |
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building | 16.6 | |
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dining | 16.2 | |
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decor | 15.9 | |
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design | 15.8 | |
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style | 15.6 | |
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window | 15.6 | |
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decoration | 15.3 | |
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house | 15 | |
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tables | 14.8 | |
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dinner | 14.3 | |
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drink | 14.2 | |
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light | 14 | |
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food | 13.9 | |
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inside | 12.9 | |
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luxury | 12.9 | |
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eat | 12.6 | |
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nobody | 12.4 | |
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night | 12.4 | |
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comfortable | 12.4 | |
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hotel | 12.4 | |
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lamp | 12.4 | |
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bar | 12 | |
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lunch | 12 | |
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people | 11.7 | |
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city | 11.6 | |
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place | 11.2 | |
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old | 11.1 | |
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wooden | 10.5 | |
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urban | 10.5 | |
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party | 10.3 | |
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wine | 10.2 | |
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life | 9.8 | |
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wall | 9.7 | |
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lifestyle | 9.4 | |
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space | 9.3 | |
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coffee | 9.3 | |
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service | 9.3 | |
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cafeteria | 9 | |
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shop | 8.9 | |
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barbershop | 8.9 | |
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culture | 8.6 | |
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structure | 8.5 | |
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contemporary | 8.5 | |
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relax | 8.4 | |
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elegance | 8.4 | |
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stool | 7.9 | |
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scene | 7.8 | |
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travel | 7.7 | |
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residential | 7.7 | |
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relaxation | 7.5 | |
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tea | 7.5 | |
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traditional | 7.5 | |
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row | 7.5 | |
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street | 7.4 | |
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adult | 7.2 | |
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office | 7.1 | |
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Google
created on 2019-06-04
Photograph | 96.1 | |
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Snapshot | 84.3 | |
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Stock photography | 69.2 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 27-44 |
Gender | Male, 99% |
Confused | 5.9% |
Calm | 78.1% |
Disgusted | 1.8% |
Happy | 1.6% |
Angry | 3.4% |
Sad | 1.3% |
Surprised | 7.8% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 53.8% |
Surprised | 45.4% |
Confused | 45.5% |
Happy | 45.5% |
Angry | 45.7% |
Disgusted | 45.2% |
Sad | 47.2% |
Calm | 50.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.4% |
Confused | 45.2% |
Angry | 46.1% |
Disgusted | 45.4% |
Surprised | 45.3% |
Sad | 45.7% |
Happy | 46.6% |
Calm | 50.7% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.1% |
Calm | 48.6% |
Disgusted | 45.2% |
Angry | 45.5% |
Sad | 49.7% |
Happy | 45.2% |
Confused | 45.5% |
Surprised | 45.4% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.2% |
Surprised | 47.5% |
Confused | 45.4% |
Happy | 45.4% |
Angry | 45.6% |
Disgusted | 45.8% |
Sad | 50% |
Calm | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.5% |
Angry | 46.3% |
Disgusted | 45.2% |
Sad | 48.4% |
Confused | 45.8% |
Happy | 45.4% |
Surprised | 45.8% |
Calm | 48.2% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.4% |
Confused | 49.6% |
Disgusted | 49.7% |
Happy | 49.6% |
Calm | 49.7% |
Surprised | 49.6% |
Sad | 49.6% |
Angry | 49.7% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.2% |
Confused | 49.6% |
Angry | 49.8% |
Disgusted | 49.5% |
Surprised | 49.6% |
Sad | 49.6% |
Happy | 49.5% |
Calm | 49.8% |

Microsoft Cognitive Services
Age | 42 |
Gender | Male |

Microsoft Cognitive Services
Age | 42 |
Gender | Male |
Feature analysis
Categories
Imagga
events parties | 48.4% | |
| ||
people portraits | 23.6% | |
| ||
interior objects | 18.4% | |
| ||
food drinks | 7.4% | |
| ||
pets animals | 1.8% | |
|
Captions
Microsoft
created on 2019-06-04
a group of people in a room | 93.9% | |
| ||
a group of people sitting in chairs in front of a building | 89.8% | |
| ||
a group of people sitting in front of a building | 86.1% | |
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Text analysis
Amazon

3

3

3