Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
container | 35.9 | |
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vessel | 35.1 | |
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carton | 29.9 | |
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texture | 29.9 | |
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tub | 27.9 | |
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vintage | 26.8 | |
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box | 24.4 | |
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old | 23.7 | |
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wallpaper | 23 | |
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grunge | 22.1 | |
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paper | 18.2 | |
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design | 16.9 | |
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aged | 16.3 | |
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frame | 15.8 | |
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glass | 15.1 | |
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backdrop | 14.8 | |
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backgrounds | 14.6 | |
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pattern | 14.4 | |
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tray | 13.9 | |
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antique | 13.8 | |
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border | 13.6 | |
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material | 13.4 | |
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bathtub | 13.2 | |
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retro | 13.1 | |
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color | 12.8 | |
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art | 12.7 | |
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water | 12.7 | |
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dirty | 12.6 | |
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graphic | 12.4 | |
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gold | 12.3 | |
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wall | 12.3 | |
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decoration | 12.3 | |
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rough | 11.8 | |
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brown | 11.8 | |
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structure | 11.5 | |
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grungy | 11.4 | |
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receptacle | 11.3 | |
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celebration | 11.2 | |
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empty | 11.2 | |
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liquid | 11 | |
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yellow | 10.6 | |
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surface | 10.6 | |
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shower | 10.5 | |
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space | 10.1 | |
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drink | 10 | |
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new | 9.7 | |
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canvas | 9.5 | |
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gift | 9.5 | |
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sheet | 9.4 | |
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winter | 9.4 | |
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document | 9.3 | |
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flower | 9.2 | |
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snow | 8.9 | |
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wet | 8.9 | |
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digital | 8.9 | |
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plumbing fixture | 8.7 | |
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bathroom | 8.7 | |
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snowflake | 8.7 | |
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aging | 8.6 | |
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ornament | 8.6 | |
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holiday | 8.6 | |
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textures | 8.5 | |
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card | 8.5 | |
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clean | 8.3 | |
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ice | 8.3 | |
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year | 8.2 | |
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light | 8 | |
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close | 8 | |
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golden | 7.7 | |
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decay | 7.7 | |
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cardboard | 7.7 | |
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merry | 7.6 | |
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damaged | 7.6 | |
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weathered | 7.6 | |
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letter | 7.3 | |
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shiny | 7.1 | |
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Google
created on 2019-06-04
Photograph | 95.9 | |
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Snapshot | 82.9 | |
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Room | 76.5 | |
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Bathing | 57.1 | |
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Thermae | 51.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Confused | 45.6% |
Surprised | 45.5% |
Happy | 47.6% |
Disgusted | 45.8% |
Calm | 46.9% |
Sad | 48.4% |
Angry | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54% |
Calm | 50.3% |
Happy | 45.3% |
Confused | 45.1% |
Angry | 45.1% |
Disgusted | 48.6% |
Surprised | 45.5% |
Sad | 45.1% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 55% |
Surprised | 45.8% |
Angry | 45.3% |
Happy | 45.1% |
Sad | 45.6% |
Calm | 51.1% |
Confused | 47% |
Disgusted | 45.1% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 54.8% |
Disgusted | 45.4% |
Happy | 45.5% |
Sad | 45.6% |
Angry | 51.6% |
Calm | 45.3% |
Confused | 46.1% |
Surprised | 45.6% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 55% |
Confused | 46.9% |
Calm | 47.5% |
Disgusted | 45.2% |
Happy | 45.5% |
Angry | 48.9% |
Sad | 45.6% |
Surprised | 45.5% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 50.5% |
Calm | 49.9% |
Sad | 49.8% |
Confused | 49.6% |
Happy | 49.5% |
Angry | 49.5% |
Surprised | 49.6% |
Disgusted | 49.5% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.4% |
Calm | 49.5% |
Confused | 49.6% |
Sad | 49.7% |
Angry | 49.7% |
Happy | 49.6% |
Disgusted | 49.9% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 58.1% | |
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food drinks | 41.5% | |
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