Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
building | 32.4 | |
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room | 27.1 | |
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architecture | 25.1 | |
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classroom | 24.9 | |
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house | 23.4 | |
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construction | 21.4 | |
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home | 20.7 | |
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center | 18.6 | |
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industry | 17.1 | |
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interior | 16.8 | |
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old | 16.7 | |
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window | 16.5 | |
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structure | 15.1 | |
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city | 15 | |
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roof | 14.3 | |
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people | 13.9 | |
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factory | 13.7 | |
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work | 13.5 | |
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wood | 13.3 | |
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steel | 12.4 | |
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restaurant | 11.9 | |
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vacation | 11.5 | |
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wooden | 11.4 | |
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man | 11.4 | |
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urban | 11.4 | |
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new | 11.3 | |
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table | 11.2 | |
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industrial | 10.9 | |
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build | 10.4 | |
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chair | 10.3 | |
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metal | 9.6 | |
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concrete | 9.6 | |
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inside | 9.2 | |
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village | 9 | |
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wall | 8.9 | |
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shop | 8.8 | |
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chairs | 8.8 | |
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machine | 8.8 | |
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travel | 8.4 | |
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design | 8.4 | |
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modern | 8.4 | |
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tourist | 8.4 | |
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sky | 8.3 | |
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warehouse | 8.3 | |
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furniture | 8 | |
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residence | 7.8 | |
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residential | 7.7 | |
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estate | 7.6 | |
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real | 7.6 | |
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site | 7.5 | |
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frame | 7.5 | |
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traditional | 7.5 | |
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floor | 7.4 | |
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tourism | 7.4 | |
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business | 7.3 | |
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mercantile establishment | 7.2 | |
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transportation | 7.2 | |
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day | 7.1 | |
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Google
created on 2019-06-05
Snapshot | 83.6 | |
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Room | 82.1 | |
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Table | 69.7 | |
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Games | 63.1 | |
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Art | 62.5 | |
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Recreation | 59.4 | |
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Furniture | 59.4 | |
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Black-and-white | 56.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-38 |
Gender | Male, 53.3% |
Calm | 46.9% |
Angry | 46.4% |
Happy | 45.7% |
Sad | 49.4% |
Surprised | 45.5% |
Confused | 45.6% |
Disgusted | 45.5% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 51.1% |
Angry | 45.1% |
Happy | 45.1% |
Disgusted | 45.1% |
Confused | 45.1% |
Calm | 45.3% |
Surprised | 45% |
Sad | 54.1% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.8% |
Angry | 45.5% |
Disgusted | 45.5% |
Surprised | 45.5% |
Calm | 48.5% |
Sad | 48.3% |
Happy | 46% |
Confused | 45.7% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 50.2% |
Angry | 45.9% |
Disgusted | 48.9% |
Surprised | 45.4% |
Calm | 45.9% |
Sad | 47.3% |
Happy | 46.2% |
Confused | 45.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Calm | 51.6% |
Surprised | 45.3% |
Happy | 45.4% |
Angry | 45.4% |
Confused | 45.2% |
Sad | 46.7% |
Disgusted | 45.4% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Happy | 49.5% |
Sad | 50% |
Confused | 49.5% |
Calm | 49.8% |
Angry | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 54.5% |
Confused | 45.5% |
Disgusted | 49.8% |
Calm | 46.1% |
Sad | 46.2% |
Angry | 46% |
Happy | 45.7% |
Surprised | 45.7% |
Feature analysis
Categories
Imagga
streetview architecture | 55.8% | |
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people portraits | 28% | |
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paintings art | 9.6% | |
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interior objects | 1.6% | |
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beaches seaside | 1.6% | |
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cars vehicles | 1.1% | |
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pets animals | 1% | |
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Captions
Microsoft
created on 2019-06-05
a group of people sitting in front of a building | 93.5% | |
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a group of people sitting at a table in front of a building | 91.7% | |
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a group of people sitting in front of a store | 86.4% | |
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Text analysis
Amazon

Carpentry.

Carpentry

Carpentry