Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
people | 99.9 | |
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adult | 98.5 | |
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group | 98 | |
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several | 95.1 | |
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man | 94.7 | |
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woman | 94.4 | |
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furniture | 94.3 | |
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wear | 94.3 | |
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group together | 94 | |
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military | 92.3 | |
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chair | 92.2 | |
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room | 92.1 | |
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many | 92 | |
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medical practitioner | 91.7 | |
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vehicle | 89.7 | |
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watercraft | 87.2 | |
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two | 87.1 | |
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leader | 86.5 | |
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administration | 85.8 | |
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instrument | 85.8 | |
|
Imagga
created on 2019-06-05
room | 51.4 | |
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interior | 45.1 | |
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table | 40.1 | |
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chair | 36.2 | |
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home | 35.1 | |
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hospital | 34.9 | |
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furniture | 26 | |
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house | 25.1 | |
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indoors | 22 | |
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modern | 18.2 | |
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person | 17.8 | |
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man | 17.5 | |
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glass | 17.1 | |
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teacher | 16.2 | |
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design | 15.8 | |
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luxury | 15.4 | |
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people | 14.5 | |
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comfortable | 14.3 | |
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male | 14.2 | |
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wood | 14.2 | |
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decor | 14.1 | |
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adult | 14 | |
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sitting | 13.7 | |
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window | 13.7 | |
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lifestyle | 13.7 | |
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dining | 13.3 | |
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living | 13.3 | |
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musical instrument | 13.2 | |
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grandfather | 13 | |
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indoor | 12.8 | |
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chairs | 12.7 | |
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kitchen | 12.7 | |
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architecture | 12.5 | |
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restaurant | 12.3 | |
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inside | 12 | |
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style | 11.9 | |
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relaxation | 11.7 | |
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smiling | 11.6 | |
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lamp | 11.5 | |
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classroom | 10.7 | |
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light | 10.7 | |
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life | 10.7 | |
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wooden | 10.5 | |
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apartment | 10.5 | |
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floor | 10.2 | |
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domestic | 10.1 | |
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seat | 9.9 | |
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work | 9.7 | |
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residential | 9.6 | |
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women | 9.5 | |
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happiness | 9.4 | |
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professional | 9.3 | |
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educator | 9.3 | |
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student | 9.3 | |
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office | 9 | |
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bedroom | 8.9 | |
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percussion instrument | 8.9 | |
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wall | 8.8 | |
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happy | 8.8 | |
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sofa | 8.7 | |
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smile | 8.6 | |
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food | 8.5 | |
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relax | 8.4 | |
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old | 8.4 | |
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marimba | 8.3 | |
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desk | 8.1 | |
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stringed instrument | 8 | |
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day | 7.8 | |
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couple | 7.8 | |
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space | 7.8 | |
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vase | 7.7 | |
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couch | 7.7 | |
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men | 7.7 | |
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elegant | 7.7 | |
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drinking | 7.7 | |
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two | 7.6 | |
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talking | 7.6 | |
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mature | 7.4 | |
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cheerful | 7.3 | |
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decoration | 7.2 | |
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family | 7.1 | |
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together | 7 | |
|
Google
created on 2019-06-05
Room | 71.4 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.8% |
Happy | 45.1% |
Calm | 52.6% |
Sad | 46% |
Angry | 45.4% |
Confused | 45.2% |
Surprised | 45.2% |
Disgusted | 45.6% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 51.7% |
Angry | 45.5% |
Surprised | 45% |
Disgusted | 45% |
Happy | 45% |
Calm | 45.1% |
Sad | 54.2% |
Confused | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.9% |
Angry | 45.6% |
Happy | 45.1% |
Disgusted | 45.1% |
Sad | 46.2% |
Confused | 45.2% |
Calm | 52.7% |
Surprised | 45.1% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 52.4% |
Confused | 45.7% |
Calm | 48.5% |
Angry | 45.9% |
Sad | 46.1% |
Happy | 46% |
Disgusted | 46.7% |
Surprised | 46.1% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 53.8% |
Calm | 45.8% |
Disgusted | 47.3% |
Confused | 45.6% |
Happy | 45.2% |
Angry | 45.7% |
Surprised | 45.1% |
Sad | 50.3% |

AWS Rekognition
Age | 35-53 |
Gender | Male, 50.6% |
Disgusted | 50.2% |
Confused | 45.3% |
Angry | 45.4% |
Calm | 47.2% |
Surprised | 45.6% |
Happy | 45.5% |
Sad | 45.8% |

Microsoft Cognitive Services
Age | 39 |
Gender | Male |
Feature analysis
Categories
Imagga
people portraits | 42.6% | |
| ||
events parties | 34.5% | |
| ||
interior objects | 12% | |
| ||
food drinks | 9.6% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people sitting in a room | 93.2% | |
| ||
a group of people in a room | 93.1% | |
| ||
a group of people sitting in chairs in a room | 93% | |
|
Text analysis
Amazon

18 98

69

16.94
18 98|

16.94

18

98|