Machine Generated Data
Tags
Amazon
created on 2019-11-16
Furniture | 99.7 | |
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Chair | 99.7 | |
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Person | 98.8 | |
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Human | 98.8 | |
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Person | 98 | |
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Person | 97.2 | |
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Indoors | 95.8 | |
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Room | 95.8 | |
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Person | 95.8 | |
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Chair | 94.9 | |
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Person | 93 | |
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Person | 92.4 | |
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Dining Room | 82.5 | |
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Interior Design | 76.5 | |
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Architecture | 73.6 | |
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Tower | 73.6 | |
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Clock Tower | 73.6 | |
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Building | 73.6 | |
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Workshop | 57.8 | |
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Conference Room | 57.7 | |
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Meeting Room | 57.7 | |
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Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
percussion instrument | 53.5 | |
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musical instrument | 43.9 | |
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restaurant | 41 | |
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interior | 38.9 | |
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steel drum | 37.7 | |
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building | 28.5 | |
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drum | 27.7 | |
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chair | 27 | |
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room | 26.6 | |
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modern | 24.5 | |
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furniture | 24.1 | |
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table | 23.5 | |
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house | 20.9 | |
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kitchen | 20.4 | |
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home | 19.1 | |
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structure | 18.4 | |
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counter | 18 | |
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indoors | 17.6 | |
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architecture | 17.2 | |
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glass | 17.1 | |
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shop | 16.1 | |
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design | 15.7 | |
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light | 15.4 | |
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decor | 15 | |
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luxury | 14.6 | |
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apartment | 14.4 | |
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indoor | 13.7 | |
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comfortable | 13.4 | |
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equipment | 13.3 | |
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floor | 13 | |
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office | 12.9 | |
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inside | 12.9 | |
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people | 12.8 | |
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window | 12.8 | |
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barbershop | 11.8 | |
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elegance | 11.7 | |
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decoration | 11.6 | |
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business | 11.5 | |
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lamp | 11.4 | |
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contemporary | 11.3 | |
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stove | 11.2 | |
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lifestyle | 10.8 | |
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city | 10.8 | |
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urban | 10.5 | |
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wood | 10 | |
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steel | 9.7 | |
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mercantile establishment | 9.3 | |
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black | 9 | |
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oven | 8.9 | |
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chairs | 8.8 | |
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dining | 8.6 | |
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salon | 8.1 | |
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cabinet | 7.9 | |
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food | 7.8 | |
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work | 7.8 | |
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stainless | 7.7 | |
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men | 7.7 | |
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elegant | 7.7 | |
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wall | 7.7 | |
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expensive | 7.7 | |
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living | 7.6 | |
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dinner | 7.6 | |
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barroom | 7.4 | |
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style | 7.4 | |
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service | 7.4 | |
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bar | 7.4 | |
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seat | 7.1 | |
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life | 7 | |
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Google
created on 2019-11-16
Black-and-white | 91 | |
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Snapshot | 85.9 | |
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Monochrome | 79.4 | |
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Photography | 70.6 | |
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Monochrome photography | 69.6 | |
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Room | 65.7 | |
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Machine | 59.5 | |
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Building | 58.4 | |
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Style | 51 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-35 |
Gender | Female, 54.8% |
Angry | 45.1% |
Disgusted | 45% |
Surprised | 45% |
Sad | 52.4% |
Confused | 45.1% |
Calm | 46.7% |
Fear | 45.7% |
Happy | 45% |

AWS Rekognition
Age | 25-39 |
Gender | Female, 54.4% |
Angry | 45.1% |
Calm | 51% |
Surprised | 45.2% |
Confused | 45.2% |
Disgusted | 45.1% |
Happy | 45.1% |
Sad | 48.2% |
Fear | 45.1% |

AWS Rekognition
Age | 31-47 |
Gender | Female, 50.9% |
Happy | 45.1% |
Confused | 45.4% |
Calm | 46% |
Angry | 45.2% |
Disgusted | 45.1% |
Surprised | 45% |
Fear | 45.2% |
Sad | 53.1% |

AWS Rekognition
Age | 13-23 |
Gender | Female, 50.4% |
Happy | 49.5% |
Sad | 49.7% |
Disgusted | 49.6% |
Calm | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Fear | 49.6% |
Confused | 50% |

AWS Rekognition
Age | 11-21 |
Gender | Female, 50.3% |
Angry | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 50.5% |
Fear | 49.5% |

AWS Rekognition
Age | 5-15 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Fear | 49.5% |
Sad | 49.8% |
Surprised | 49.6% |
Confused | 49.7% |
Calm | 49.8% |

AWS Rekognition
Age | 6-16 |
Gender | Male, 54.2% |
Happy | 45% |
Angry | 45% |
Confused | 45% |
Calm | 45.1% |
Disgusted | 45% |
Fear | 45% |
Surprised | 45% |
Sad | 54.9% |
Feature analysis
Categories
Imagga
cars vehicles | 72.7% | |
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interior objects | 23.5% | |
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events parties | 1.7% | |
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food drinks | 1% | |
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Captions
Microsoft
created on 2019-11-16
a group of people in a room | 89.8% | |
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a group of people standing in a room | 85.9% | |
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a black and white photo of a kitchen | 78.5% | |
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Text analysis

NATm

NATm