Machine Generated Data
Tags
Amazon
created on 2019-06-05
Person | 99.1 | |
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Human | 99.1 | |
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Person | 97.4 | |
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Person | 97.3 | |
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Person | 97.3 | |
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Chair | 97.2 | |
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Furniture | 97.2 | |
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Building | 97 | |
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Person | 96.9 | |
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Shoe | 96.6 | |
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Clothing | 96.6 | |
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Apparel | 96.6 | |
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Footwear | 96.6 | |
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Person | 96.2 | |
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Person | 94.8 | |
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Carpenter | 94.3 | |
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Factory | 93 | |
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Person | 87.5 | |
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Person | 86 | |
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Workshop | 85.1 | |
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Floor | 81.7 | |
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Person | 79.8 | |
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Chair | 76.5 | |
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Wood | 75.9 | |
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Person | 75.6 | |
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Housing | 74.6 | |
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Indoors | 74.2 | |
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Room | 71.9 | |
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Person | 71.4 | |
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Restaurant | 67.1 | |
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Cafeteria | 67.1 | |
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Plywood | 62.7 | |
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Table | 62.6 | |
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Assembly Line | 59.8 | |
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Flooring | 55.4 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
harp | 100 | |
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stringed instrument | 73.7 | |
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support | 55.1 | |
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musical instrument | 49.1 | |
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device | 42.1 | |
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table | 36.3 | |
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chair | 35.2 | |
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interior | 34.5 | |
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room | 25.5 | |
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restaurant | 19.8 | |
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chairs | 18.6 | |
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floor | 18.6 | |
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house | 18.4 | |
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furniture | 18.2 | |
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home | 17.5 | |
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dining | 16.2 | |
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wood | 14.2 | |
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architecture | 14.1 | |
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indoors | 14.1 | |
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modern | 14 | |
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lifestyle | 13.7 | |
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design | 13.5 | |
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dinner | 13.5 | |
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sitting | 12.9 | |
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luxury | 12.9 | |
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glass | 12.4 | |
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decor | 12.4 | |
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people | 12.3 | |
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hotel | 11.5 | |
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inside | 11 | |
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seat | 10.8 | |
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lunch | 10.3 | |
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relax | 10.1 | |
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relaxation | 10 | |
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indoor | 10 | |
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hall | 9.9 | |
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wooden | 9.7 | |
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style | 9.6 | |
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coffee | 9.3 | |
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window | 9.2 | |
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food | 9.1 | |
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vacation | 9 | |
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tables | 8.9 | |
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residential | 8.6 | |
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empty | 8.6 | |
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eat | 8.4 | |
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sun | 8.1 | |
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decoration | 8 | |
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women | 7.9 | |
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urban | 7.9 | |
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travel | 7.7 | |
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couch | 7.7 | |
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sofa | 7.7 | |
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comfortable | 7.6 | |
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bed | 7.6 | |
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living | 7.6 | |
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drink | 7.5 | |
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place | 7.4 | |
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building | 7.1 | |
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summer | 7.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.7% |
Calm | 45.5% |
Surprised | 45.2% |
Disgusted | 45.4% |
Confused | 45.2% |
Sad | 53.1% |
Happy | 45.2% |
Angry | 45.3% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 53.7% |
Confused | 45.3% |
Disgusted | 45.1% |
Calm | 52.9% |
Angry | 45.5% |
Happy | 45.4% |
Surprised | 45.3% |
Sad | 45.6% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 50.9% |
Disgusted | 45% |
Surprised | 45% |
Angry | 45.1% |
Confused | 45.1% |
Sad | 53.6% |
Calm | 46.1% |
Happy | 45% |

AWS Rekognition
Age | 35-53 |
Gender | Female, 50.3% |
Sad | 49.3% |
Angry | 45.4% |
Calm | 49.6% |
Happy | 45.1% |
Disgusted | 45.2% |
Confused | 45.2% |
Surprised | 45.1% |

AWS Rekognition
Age | 6-13 |
Gender | Male, 50.2% |
Disgusted | 49.6% |
Surprised | 49.5% |
Calm | 49.7% |
Angry | 49.5% |
Happy | 50.1% |
Sad | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.9% |
Sad | 45.6% |
Surprised | 45.2% |
Disgusted | 45.1% |
Calm | 53.5% |
Happy | 45.1% |
Confused | 45.4% |
Angry | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.2% |
Disgusted | 45.1% |
Surprised | 45.2% |
Happy | 45.1% |
Calm | 45.7% |
Angry | 45.4% |
Sad | 53.2% |
Confused | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.8% |
Angry | 45.2% |
Happy | 45.2% |
Surprised | 45.2% |
Calm | 52.7% |
Confused | 45.4% |
Sad | 46.2% |
Disgusted | 45.1% |
Feature analysis
Categories
Imagga
people portraits | 66.5% | |
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events parties | 26.1% | |
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paintings art | 4.3% | |
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pets animals | 1.5% | |
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Captions
Microsoft
created on 2019-06-05
a group of people sitting in a chair in a room | 91.9% | |
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a group of people sitting on a chair in a room | 90.4% | |
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a group of people sitting at a table in a room | 90.3% | |
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Text analysis
Amazon

1898

(203.

203
18 e8

18

e8

203