Machine Generated Data
Tags
Amazon
created on 2019-06-05
Furniture | 100 | |
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Chair | 100 | |
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Human | 97.7 | |
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Person | 97.7 | |
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Flooring | 97.4 | |
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Person | 96.5 | |
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Room | 96.4 | |
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Indoors | 96.4 | |
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Person | 94.1 | |
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Interior Design | 94.1 | |
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Person | 94.1 | |
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Leisure Activities | 92.7 | |
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Person | 92.7 | |
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Wood | 90.8 | |
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Classroom | 90.4 | |
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School | 90.4 | |
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Musical Instrument | 86.3 | |
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Person | 85.5 | |
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Floor | 85.5 | |
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Person | 84.2 | |
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Piano | 83.5 | |
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Living Room | 78.8 | |
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Person | 74.7 | |
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Chair | 74.6 | |
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Person | 74.6 | |
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Person | 68.2 | |
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Hardwood | 67.9 | |
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Musician | 66.6 | |
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Person | 63.7 | |
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Grand Piano | 60 | |
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Chair | 59.6 | |
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Building | 59.2 | |
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Housing | 59.2 | |
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Sitting | 56.7 | |
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Couch | 56.6 | |
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Studio | 56.3 | |
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Chair | 50.1 | |
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Person | 43.4 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
room | 78 | |
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restaurant | 69.2 | |
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interior | 59.3 | |
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classroom | 56.8 | |
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cafeteria | 54.3 | |
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chair | 52.2 | |
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table | 48.6 | |
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building | 42.2 | |
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furniture | 37.7 | |
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house | 35.1 | |
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structure | 31.4 | |
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floor | 29.8 | |
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home | 28.7 | |
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dining | 27.6 | |
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modern | 25.9 | |
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wood | 24.2 | |
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chairs | 23.5 | |
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design | 23.1 | |
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inside | 21.2 | |
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decor | 20.3 | |
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indoor | 20.1 | |
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hall | 19.8 | |
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seat | 19.5 | |
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indoors | 19.3 | |
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glass | 18.7 | |
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kitchen | 18.5 | |
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empty | 18 | |
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tables | 17.7 | |
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dinner | 17 | |
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food | 17 | |
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contemporary | 15.1 | |
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architecture | 14.9 | |
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style | 14.8 | |
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decoration | 14.5 | |
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eat | 14.3 | |
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stool | 13.8 | |
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window | 13.7 | |
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light | 12.7 | |
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drink | 12.5 | |
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office | 12.4 | |
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decorate | 12.4 | |
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lunch | 12.1 | |
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residential | 11.5 | |
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hotel | 11.5 | |
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comfortable | 11.5 | |
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coffee | 11.1 | |
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bar | 11.1 | |
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stove | 10.8 | |
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diner | 10.8 | |
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wooden | 10.6 | |
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plant | 10.5 | |
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counter | 10.5 | |
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luxury | 10.3 | |
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place | 10.2 | |
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relax | 10.1 | |
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upscale | 9.9 | |
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meal | 9.8 | |
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oven | 9.8 | |
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urban | 9.6 | |
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sofa | 9.6 | |
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lamp | 9.5 | |
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living | 9.5 | |
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teacher | 9.3 | |
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elegance | 9.2 | |
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city | 9.2 | |
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business | 9.1 | |
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patio | 8.9 | |
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drawer | 8.9 | |
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refrigerator | 8.9 | |
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residence | 8.8 | |
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scene | 8.7 | |
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wall | 8.6 | |
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people | 8.4 | |
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wine | 8.3 | |
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cook | 8.2 | |
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work | 8 | |
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lifestyle | 8 | |
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cabinets | 7.9 | |
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render | 7.8 | |
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carpet | 7.8 | |
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nobody | 7.8 | |
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party | 7.7 | |
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tile | 7.6 | |
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stylish | 7.2 | |
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life | 7.2 | |
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Google
created on 2019-06-05
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Sad | 49.9% |
Disgusted | 49.6% |
Confused | 49.5% |
Surprised | 49.6% |
Calm | 49.7% |
Happy | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 9-14 |
Gender | Female, 50.2% |
Calm | 50% |
Angry | 49.5% |
Disgusted | 49.6% |
Sad | 49.7% |
Surprised | 49.5% |
Happy | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 50.3% |
Disgusted | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Sad | 50.2% |
Confused | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.4% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 50.1% |
Confused | 49.5% |
Surprised | 49.5% |
Disgusted | 49.6% |
Sad | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.1% |
Happy | 49.6% |
Disgusted | 49.6% |
Sad | 50.1% |
Confused | 49.5% |
Angry | 49.6% |
Surprised | 49.6% |
Calm | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Disgusted | 49.6% |
Surprised | 49.6% |
Happy | 49.7% |
Calm | 49.6% |
Angry | 49.6% |
Sad | 49.8% |
Confused | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Calm | 49.6% |
Confused | 49.5% |
Angry | 49.8% |
Surprised | 49.5% |
Disgusted | 49.5% |
Sad | 50% |
Happy | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 40.4% | |
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streetview architecture | 37.1% | |
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cars vehicles | 6% | |
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people portraits | 4.6% | |
| ||
events parties | 4.2% | |
| ||
pets animals | 2.6% | |
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food drinks | 1.5% | |
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beaches seaside | 1.5% | |
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Captions
Microsoft
created on 2019-06-05
Text analysis
Amazon

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