Machine Generated Data
Tags
Amazon
created on 2019-06-05
Person | 99.5 | |
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Human | 99.5 | |
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Person | 99.2 | |
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Person | 98.9 | |
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Person | 98.6 | |
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Person | 95.3 | |
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Clinic | 94.8 | |
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Person | 91.7 | |
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Art | 85.8 | |
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Painting | 85.8 | |
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Hospital | 74.6 | |
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Person | 70.1 | |
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People | 69.4 | |
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Flooring | 69.3 | |
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Indoors | 64.8 | |
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Room | 64.8 | |
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Person | 64.4 | |
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Chair | 63.6 | |
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Furniture | 63.6 | |
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Operating Theatre | 58.7 | |
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Workshop | 58.6 | |
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Military Uniform | 58.4 | |
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Military | 58.4 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
brass | 56.6 | |
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wind instrument | 47.5 | |
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musical instrument | 46.2 | |
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interior | 30.9 | |
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baritone | 29.9 | |
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chair | 27.2 | |
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room | 27.2 | |
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table | 26.1 | |
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trombone | 19.3 | |
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home | 17.5 | |
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floor | 16.7 | |
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stringed instrument | 16.3 | |
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glass | 15.5 | |
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indoor | 15.5 | |
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modern | 14.7 | |
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wood | 14.2 | |
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indoors | 14 | |
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restaurant | 14 | |
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people | 13.4 | |
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person | 13.3 | |
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device | 13.3 | |
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furniture | 13 | |
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design | 12.9 | |
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man | 12.8 | |
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light | 12.7 | |
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music | 12.7 | |
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style | 12.6 | |
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old | 12.5 | |
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vintage | 12.4 | |
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dining | 12.3 | |
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wall | 12 | |
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inside | 11.9 | |
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chairs | 11.7 | |
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architecture | 11.7 | |
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house | 10.9 | |
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drink | 10.8 | |
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male | 10.6 | |
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life | 10.6 | |
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adult | 10.5 | |
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decoration | 10.1 | |
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dinner | 10.1 | |
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tables | 9.8 | |
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decor | 9.7 | |
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wooden | 9.7 | |
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bassoon | 9.5 | |
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luxury | 9.4 | |
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lifestyle | 9.4 | |
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teacher | 9.3 | |
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food | 9.1 | |
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bass | 8.8 | |
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antique | 8.6 | |
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day | 8.6 | |
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comfortable | 8.6 | |
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sitting | 8.6 | |
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culture | 8.5 | |
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space | 8.5 | |
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seat | 8.4 | |
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banjo | 8.4 | |
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coffee | 8.3 | |
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window | 8.2 | |
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harp | 7.8 | |
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elegance | 7.5 | |
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percussion instrument | 7.5 | |
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wine | 7.4 | |
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retro | 7.4 | |
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night | 7.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 10-15 |
Gender | Male, 54.5% |
Disgusted | 45.1% |
Confused | 45.3% |
Angry | 45.4% |
Sad | 45.6% |
Surprised | 45.2% |
Happy | 45% |
Calm | 53.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 51.8% |
Disgusted | 51.4% |
Surprised | 45.2% |
Happy | 45.2% |
Calm | 47.3% |
Angry | 45.4% |
Sad | 45.5% |
Confused | 45.2% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.2% |
Surprised | 45.8% |
Confused | 45.7% |
Sad | 46.3% |
Calm | 46.7% |
Disgusted | 46.4% |
Happy | 48% |
Angry | 46.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.8% |
Sad | 52.1% |
Happy | 45.2% |
Disgusted | 45.1% |
Calm | 46.7% |
Angry | 45.5% |
Confused | 45.3% |
Surprised | 45.1% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.5% |
Surprised | 45.4% |
Confused | 45.7% |
Sad | 48.4% |
Calm | 46.1% |
Disgusted | 47% |
Happy | 46.6% |
Angry | 45.8% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.2% |
Surprised | 45.2% |
Calm | 45.1% |
Happy | 46.8% |
Sad | 49.3% |
Confused | 45.2% |
Angry | 48% |
Disgusted | 45.2% |

AWS Rekognition
Age | 35-53 |
Gender | Female, 51.8% |
Surprised | 45.2% |
Confused | 45.2% |
Happy | 45.1% |
Angry | 46.6% |
Calm | 45% |
Sad | 52% |
Disgusted | 45.9% |

Microsoft Cognitive Services
Age | 34 |
Gender | Male |
Feature analysis
Categories
Imagga
people portraits | 71% | |
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events parties | 28.8% | |
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Captions
Microsoft
created on 2019-06-05
a vintage photo of a group of people in a room | 91.1% | |
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a vintage photo of a group of people in a kitchen | 82.3% | |
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a vintage photo of a group of people standing in a room | 82.2% | |
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Text analysis
Amazon

1898

18 98

18

98