Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
barbershop | 100 | |
| ||
shop | 94.3 | |
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mercantile establishment | 73.2 | |
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place of business | 49.2 | |
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room | 35.8 | |
| ||
table | 34.7 | |
| ||
interior | 33.6 | |
| ||
chair | 32.5 | |
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establishment | 24.7 | |
| ||
home | 23.9 | |
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people | 20.6 | |
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indoors | 20.2 | |
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modern | 18.9 | |
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man | 18.1 | |
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restaurant | 17 | |
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person | 16.2 | |
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male | 15.6 | |
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furniture | 15.5 | |
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sitting | 14.6 | |
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office | 14.4 | |
| ||
classroom | 14 | |
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business | 13.4 | |
| ||
glass | 13.2 | |
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lifestyle | 13 | |
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design | 12.9 | |
| ||
inside | 12.9 | |
| ||
chairs | 12.7 | |
| ||
dinner | 12.6 | |
| ||
house | 12.5 | |
| ||
decor | 12.4 | |
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dining | 12.4 | |
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smiling | 12.3 | |
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mature | 12.1 | |
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teacher | 11.9 | |
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indoor | 11.9 | |
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women | 11.9 | |
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hospital | 11.8 | |
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life | 11.7 | |
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kitchen | 10.7 | |
| ||
adult | 10.6 | |
| ||
floor | 10.2 | |
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board | 9.9 | |
| ||
family | 9.8 | |
| ||
food | 9.7 | |
| ||
class | 9.6 | |
| ||
decoration | 9.4 | |
| ||
communication | 9.2 | |
| ||
elegance | 9.2 | |
| ||
cafeteria | 9.2 | |
| ||
wood | 9.2 | |
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window | 9.2 | |
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hairdresser | 8.9 | |
| ||
group | 8.9 | |
| ||
couple | 8.7 | |
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desk | 8.7 | |
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education | 8.7 | |
| ||
work | 8.6 | |
| ||
day | 8.6 | |
| ||
comfortable | 8.6 | |
| ||
empty | 8.6 | |
| ||
men | 8.6 | |
| ||
luxury | 8.6 | |
| ||
lunch | 8.6 | |
| ||
meeting | 8.5 | |
| ||
senior | 8.4 | |
| ||
eat | 8.4 | |
| ||
happy | 8.1 | |
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light | 8 | |
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businessman | 7.9 | |
| ||
tables | 7.9 | |
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percussion instrument | 7.9 | |
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happiness | 7.8 | |
| ||
architecture | 7.8 | |
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apartment | 7.7 | |
| ||
student | 7.6 | |
| ||
seat | 7.6 | |
| ||
drink | 7.5 | |
| ||
style | 7.4 | |
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service | 7.4 | |
| ||
meal | 7.3 | |
| ||
together | 7 | |
|
Google
created on 2019-06-05
Photograph | 96.8 | |
| ||
Snapshot | 86.9 | |
| ||
Room | 78 | |
| ||
Vintage clothing | 66.6 | |
| ||
Dress | 59.7 | |
| ||
Child | 52 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-38 |
Gender | Female, 52.9% |
Calm | 45.1% |
Surprised | 45.1% |
Happy | 45.1% |
Disgusted | 45.3% |
Angry | 47% |
Sad | 52.3% |
Confused | 45.1% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 53.2% |
Surprised | 45.1% |
Calm | 45.9% |
Happy | 45.8% |
Angry | 45.2% |
Sad | 52.1% |
Disgusted | 45.7% |
Confused | 45.2% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 54.2% |
Sad | 54.3% |
Surprised | 45% |
Confused | 45% |
Angry | 45.1% |
Happy | 45.1% |
Calm | 45.4% |
Disgusted | 45.1% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 54.1% |
Angry | 46% |
Disgusted | 47.9% |
Surprised | 45.5% |
Calm | 47.6% |
Sad | 46.5% |
Happy | 46.1% |
Confused | 45.3% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 50.2% |
Sad | 50.3% |
Calm | 49.7% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 53% |
Sad | 51.9% |
Angry | 45.3% |
Happy | 45.5% |
Surprised | 45.2% |
Confused | 45.3% |
Calm | 46.6% |
Disgusted | 45.2% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.4% |
Surprised | 49.6% |
Disgusted | 49.8% |
Angry | 49.7% |
Sad | 49.6% |
Happy | 49.7% |
Confused | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.2% |
Angry | 49.5% |
Sad | 49.7% |
Calm | 50.2% |
Disgusted | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 52.4% | |
| ||
streetview architecture | 39.9% | |
| ||
text visuals | 2.8% | |
| ||
events parties | 2.3% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people standing in a room | 93.5% | |
| ||
a group of people in a room | 93.4% | |
| ||
a group of people that are standing in a room | 89.8% | |
|
Text analysis
Amazon

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