Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
marble | 59.1 | |
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sculpture | 43.6 | |
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plastic art | 33.9 | |
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architecture | 26 | |
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art | 24.7 | |
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building | 18.3 | |
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house | 17.6 | |
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modern | 17.5 | |
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design | 17.4 | |
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structure | 17.4 | |
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drawing | 17.3 | |
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city | 15.8 | |
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counter | 14.8 | |
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business | 14.6 | |
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grunge | 14.5 | |
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hall | 14.2 | |
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plan | 14.2 | |
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paper | 14.1 | |
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technology | 14.1 | |
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sketch | 14 | |
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creation | 13.9 | |
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construction | 13.7 | |
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digital | 13 | |
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old | 12.5 | |
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3d | 12.4 | |
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interior | 12.4 | |
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urban | 12.2 | |
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home | 12 | |
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texture | 11.8 | |
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tile | 10.9 | |
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light | 10.7 | |
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retro | 10.6 | |
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wall | 10.6 | |
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travel | 10.6 | |
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science | 9.8 | |
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office | 9.6 | |
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apartment | 9.6 | |
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graphic | 9.5 | |
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style | 8.9 | |
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supermarket | 8.8 | |
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empty | 8.7 | |
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effects | 8.5 | |
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floor | 8.4 | |
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sky | 8.3 | |
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antique | 8.2 | |
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pattern | 8.2 | |
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tower | 8.1 | |
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financial | 8 | |
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computer | 8 | |
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blueprint | 7.8 | |
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frame | 7.8 | |
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scene | 7.8 | |
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render | 7.8 | |
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sink | 7.7 | |
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downtown | 7.7 | |
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diagram | 7.7 | |
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development | 7.6 | |
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skyline | 7.6 | |
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imagination | 7.6 | |
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buildings | 7.6 | |
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dishwasher | 7.5 | |
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three dimensional | 7.5 | |
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vintage | 7.4 | |
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tourism | 7.4 | |
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town | 7.4 | |
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backdrop | 7.4 | |
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reflection | 7.4 | |
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aged | 7.2 | |
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grocery store | 7.2 | |
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idea | 7.1 | |
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night | 7.1 | |
|
Google
created on 2019-06-04
Thermae | 86.2 | |
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Snapshot | 82.9 | |
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Swimming pool | 75.3 | |
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Building | 74.6 | |
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Room | 71.4 | |
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Architecture | 65.5 | |
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Leisure | 56.2 | |
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Interior design | 54.3 | |
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House | 53.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.3% |
Surprised | 49.7% |
Happy | 49.6% |
Disgusted | 49.6% |
Calm | 49.5% |
Confused | 50% |
Sad | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Happy | 49.6% |
Angry | 49.6% |
Sad | 49.8% |
Disgusted | 49.7% |
Confused | 49.7% |
Calm | 49.6% |
Surprised | 49.6% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.3% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 50.1% |
Sad | 49.7% |
Surprised | 49.6% |
Disgusted | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 50.3% |
Surprised | 49.6% |
Angry | 49.7% |
Calm | 49.5% |
Happy | 49.6% |
Sad | 49.7% |
Disgusted | 49.6% |
Confused | 49.8% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.4% |
Confused | 49.6% |
Angry | 49.6% |
Happy | 49.6% |
Sad | 49.6% |
Disgusted | 49.8% |
Surprised | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Angry | 49.6% |
Surprised | 49.6% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 50% |
Confused | 49.7% |
Calm | 49.6% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50.4% |
Calm | 49.5% |
Happy | 49.6% |
Disgusted | 50.1% |
Confused | 49.5% |
Surprised | 49.5% |
Sad | 49.7% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
interior objects | 95.1% | |
| ||
paintings art | 4.9% | |
|
Captions
Microsoft
created on 2019-06-04
an old photo of a building | 70.8% | |
| ||
an old photo of a store | 65.5% | |
| ||
a store inside of a building | 65.4% | |
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Text analysis
Amazon

PB

PB t3

t3

BE CAREFUL IN DE
WATER AT THIS HOrCT

BE

CAREFUL

IN

DE

WATER

AT

THIS

HOrCT