Machine Generated Data
Tags
Amazon
created on 2019-06-06
Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
room | 66.5 | |
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interior | 58.4 | |
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furniture | 48.7 | |
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home | 46.3 | |
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house | 45.1 | |
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decor | 25.6 | |
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bathroom | 25.5 | |
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indoors | 24.6 | |
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modern | 24.5 | |
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lamp | 23.1 | |
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table | 22.6 | |
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apartment | 22 | |
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box | 22 | |
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wood | 21.7 | |
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bedroom | 21.4 | |
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design | 20.8 | |
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inside | 19.3 | |
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living | 19 | |
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luxury | 18 | |
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architecture | 18 | |
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container | 17.8 | |
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carton | 17.6 | |
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wall | 17.4 | |
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decoration | 17.4 | |
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bath | 17.1 | |
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window | 16.5 | |
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comfortable | 16.2 | |
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hotel | 16.2 | |
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tub | 16.2 | |
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relaxation | 15.9 | |
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chair | 15.6 | |
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clean | 15 | |
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floor | 14.9 | |
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domestic | 14.5 | |
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bed | 14.4 | |
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residential | 14.4 | |
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sofa | 14.4 | |
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panel | 14.1 | |
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pillow | 13.6 | |
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style | 13.4 | |
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tile | 13.1 | |
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bathtub | 12.4 | |
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wooden | 12.3 | |
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furnishing | 12.1 | |
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light | 11.4 | |
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glass | 11 | |
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indoor | 11 | |
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comfort | 10.6 | |
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new | 10.5 | |
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rest | 10.3 | |
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kitchen | 10.2 | |
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relax | 10.1 | |
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3d | 10.1 | |
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shelf | 9.9 | |
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shower | 9.9 | |
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vessel | 9.8 | |
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render | 9.5 | |
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toilet | 9.5 | |
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nobody | 9.3 | |
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elegance | 9.2 | |
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pillows | 8.9 | |
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couch | 8.7 | |
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wash | 8.7 | |
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lifestyle | 8.7 | |
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sink | 8.5 | |
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baby bed | 8.3 | |
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cabinet | 8.1 | |
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upright | 8 | |
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towel | 7.9 | |
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accommodation | 7.9 | |
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faucet | 7.9 | |
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cozy | 7.9 | |
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luxurious | 7.8 | |
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color | 7.8 | |
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carpet | 7.8 | |
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cradle | 7.8 | |
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old | 7.7 | |
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mirror | 7.6 | |
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happy | 7.5 | |
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warm | 7.4 | |
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people | 7.3 | |
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person | 7.2 | |
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piano | 7.2 | |
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day | 7.1 | |
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travel | 7 | |
|
Google
created on 2019-06-06
Photograph | 96.4 | |
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Room | 88.7 | |
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Snapshot | 86.4 | |
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Photography | 62.4 | |
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Vintage clothing | 60 | |
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Retro style | 55.3 | |
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Furniture | 53.3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.8% |
Calm | 45.7% |
Sad | 48.1% |
Angry | 46.7% |
Surprised | 45.7% |
Disgusted | 47% |
Confused | 45.7% |
Happy | 46.1% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 54.4% |
Angry | 45.1% |
Surprised | 45.1% |
Sad | 54.2% |
Confused | 45.1% |
Calm | 45.2% |
Disgusted | 45.1% |
Happy | 45.2% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Angry | 50.9% |
Happy | 45.1% |
Disgusted | 46.2% |
Confused | 45.2% |
Calm | 45.2% |
Surprised | 45.1% |
Sad | 47.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.3% |
Calm | 48.7% |
Angry | 45.9% |
Happy | 46.6% |
Sad | 46.5% |
Surprised | 45.6% |
Confused | 45.8% |
Disgusted | 45.9% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 53.4% |
Disgusted | 47% |
Surprised | 45.8% |
Sad | 46.9% |
Angry | 45.7% |
Happy | 45.3% |
Confused | 46% |
Calm | 48.3% |
Feature analysis
Categories
Imagga
interior objects | 81.9% | |
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paintings art | 17.2% | |
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Captions
Microsoft
created on 2019-06-06
a vintage photo of some people in a room | 91.4% | |
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a vintage photo of a person in a room | 90.8% | |
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a vintage photo of a person | 79.6% | |
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Text analysis
Amazon

Cooking

Cooking Closs.

Closs.

Cooking Closs

Cooking

Closs