Machine Generated Data
Tags
Amazon
created on 2019-06-06
Clarifai
created on 2019-06-06
people | 99.9 | |
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group together | 99.1 | |
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group | 98.7 | |
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many | 98.6 | |
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adult | 97 | |
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administration | 94.6 | |
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man | 94.5 | |
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vehicle | 93.7 | |
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furniture | 93.6 | |
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war | 91.8 | |
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leader | 91.5 | |
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military | 89.9 | |
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several | 88.5 | |
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88 | ||
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woman | 87.3 | |
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chair | 86.6 | |
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transportation system | 84.4 | |
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monochrome | 83.8 | |
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wear | 80.9 | |
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room | 79.2 | |
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Imagga
created on 2019-06-06
barrow | 85.2 | |
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handcart | 69.5 | |
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wheeled vehicle | 58.9 | |
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vehicle | 38.2 | |
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conveyance | 24.1 | |
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travel | 23.2 | |
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chair | 22.7 | |
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building | 18.4 | |
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city | 18.3 | |
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scene | 17.3 | |
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barbershop | 17.3 | |
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seat | 16.7 | |
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bench | 16.5 | |
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transportation | 16.1 | |
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architecture | 15.6 | |
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cart | 15.5 | |
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vacation | 14.7 | |
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shop | 14 | |
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tourism | 14 | |
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horse cart | 13.3 | |
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summer | 12.9 | |
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wood | 12.5 | |
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sea | 12.5 | |
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furniture | 12.5 | |
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urban | 12.2 | |
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carriage | 12.2 | |
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table | 12.1 | |
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empty | 12 | |
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street | 12 | |
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tourist | 11.8 | |
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house | 11.7 | |
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sky | 11.5 | |
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outdoor | 11.5 | |
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landscape | 11.2 | |
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relaxation | 10.9 | |
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mercantile establishment | 10.8 | |
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park | 10.7 | |
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water | 10.7 | |
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horse | 10.4 | |
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beach | 10.1 | |
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stretcher | 10.1 | |
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wagon | 10 | |
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tree | 10 | |
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old | 9.8 | |
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room | 9.3 | |
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snow | 9.2 | |
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window | 9.2 | |
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restaurant | 9.1 | |
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people | 8.9 | |
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day | 8.6 | |
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place | 8.4 | |
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road | 8.1 | |
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litter | 8 | |
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interior | 8 | |
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station | 7.9 | |
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sand | 7.9 | |
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chairs | 7.8 | |
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male | 7.8 | |
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modern | 7.7 | |
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winter | 7.7 | |
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relax | 7.6 | |
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patio | 7.5 | |
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destination | 7.5 | |
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outdoors | 7.5 | |
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man | 7.4 | |
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light | 7.3 | |
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structure | 7.3 | |
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transport | 7.3 | |
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cafeteria | 7.2 | |
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holiday | 7.2 | |
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place of business | 7.1 | |
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work | 7.1 | |
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gate | 7 | |
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indoors | 7 | |
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Google
created on 2019-06-06
Room | 81.5 | |
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Interior design | 67 | |
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Table | 63.8 | |
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Art | 62.5 | |
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Collection | 59.7 | |
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Furniture | 59.4 | |
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Building | 58.4 | |
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Illustration | 57.7 | |
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Visual arts | 55 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Confused | 49.5% |
Angry | 49.8% |
Disgusted | 49.6% |
Calm | 49.6% |
Happy | 49.6% |
Surprised | 49.6% |
Sad | 49.8% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.1% |
Sad | 50.4% |
Angry | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Happy | 49.5% |
Sad | 50.2% |
Confused | 49.5% |
Calm | 49.5% |
Angry | 49.6% |
Disgusted | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Sad | 49.6% |
Disgusted | 49.5% |
Happy | 49.6% |
Confused | 49.5% |
Calm | 50.2% |
Angry | 49.5% |
Feature analysis
Categories
Imagga
streetview architecture | 48.3% | |
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interior objects | 26.5% | |
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cars vehicles | 19.6% | |
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beaches seaside | 2.1% | |
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Captions
Microsoft
created on 2019-06-06
a vintage photo of a bench | 86.1% | |
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a vintage photo of an old building | 86% | |
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a vintage photo of a group of people sitting on a bench | 63.5% | |
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Text analysis
Amazon

PIAD1A

PIAD1A LOOM

LOOM

R ADIN ROOM

R

ADIN

ROOM