Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
barbershop | 36.4 | |
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shop | 33.7 | |
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building | 32.6 | |
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architecture | 28.1 | |
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office | 27.1 | |
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mercantile establishment | 25.9 | |
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house | 22.5 | |
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city | 17.4 | |
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place of business | 17.2 | |
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home | 15.1 | |
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urban | 14.8 | |
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structure | 14.8 | |
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interior | 14.1 | |
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travel | 14.1 | |
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old | 13.9 | |
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sky | 13.4 | |
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room | 12.9 | |
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transportation | 12.5 | |
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roof | 12.4 | |
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water | 12 | |
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construction | 11.1 | |
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indoor | 11 | |
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sea | 10.9 | |
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business | 10.9 | |
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window | 10.8 | |
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ocean | 10.8 | |
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tourism | 10.7 | |
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gate | 10.6 | |
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modern | 10.5 | |
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station | 10.4 | |
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wood | 10 | |
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vacation | 9.8 | |
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residence | 9.7 | |
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sand | 9.6 | |
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people | 9.5 | |
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chair | 9.4 | |
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web site | 9.4 | |
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beach | 9.3 | |
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historic | 9.2 | |
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transport | 9.1 | |
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table | 9 | |
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coast | 9 | |
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new | 8.9 | |
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holiday | 8.6 | |
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establishment | 8.6 | |
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classroom | 8.4 | |
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boat | 8.4 | |
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inside | 8.3 | |
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street | 8.3 | |
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wagon | 8.1 | |
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history | 8 | |
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steel | 7.9 | |
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restaurant | 7.7 | |
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outside | 7.7 | |
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wheeled vehicle | 7.6 | |
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relax | 7.6 | |
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center | 7.6 | |
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bay | 7.5 | |
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tourist | 7.5 | |
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place | 7.4 | |
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floor | 7.4 | |
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town | 7.4 | |
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furniture | 7.4 | |
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trees | 7.1 | |
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summer | 7.1 | |
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wooden | 7 | |
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scenic | 7 | |
|
Google
created on 2019-06-05
Photograph | 96.5 | |
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Text | 90.3 | |
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Snapshot | 87.9 | |
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Room | 76.5 | |
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Adaptation | 67 | |
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Photographic paper | 63.3 | |
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History | 62.6 | |
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Picture frame | 62.5 | |
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Photography | 62.4 | |
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Paper product | 55.7 | |
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Vintage clothing | 52.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 14-25 |
Gender | Male, 50.1% |
Happy | 49.6% |
Calm | 49.7% |
Sad | 49.9% |
Surprised | 49.6% |
Angry | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Angry | 49.6% |
Calm | 50% |
Surprised | 49.7% |
Sad | 49.6% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Surprised | 49.6% |
Happy | 49.6% |
Calm | 50% |
Disgusted | 49.7% |
Confused | 49.6% |
Sad | 49.6% |
Angry | 49.5% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.5% |
Sad | 49.7% |
Calm | 49.6% |
Surprised | 49.6% |
Confused | 49.6% |
Disgusted | 49.7% |
Happy | 49.7% |
Angry | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Sad | 50.3% |
Angry | 49.5% |
Disgusted | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50% |
Angry | 49.6% |
Surprised | 49.5% |
Calm | 49.7% |
Happy | 49.6% |
Confused | 49.5% |
Disgusted | 49.5% |
Sad | 50% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Sad | 49.6% |
Happy | 49.7% |
Surprised | 49.6% |
Disgusted | 49.6% |
Confused | 49.6% |
Calm | 49.8% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
paintings art | 68.1% | |
| ||
streetview architecture | 14.8% | |
| ||
text visuals | 8% | |
| ||
food drinks | 6.3% | |
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interior objects | 1.4% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people standing in front of a store | 31.8% | |
| ||
a group of people in front of a store | 30.7% | |
| ||
a group of people in a room | 30.6% | |
|
Text analysis
Amazon

Examples

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