Machine Generated Data
Tags
Amazon
created on 2019-06-07
Person | 98.4 | |
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Human | 98.4 | |
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Person | 98 | |
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Person | 97.6 | |
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Floor | 97.3 | |
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Person | 97.3 | |
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Flooring | 97.2 | |
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Person | 97.1 | |
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Person | 96.1 | |
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Person | 95.1 | |
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Building | 94.3 | |
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Person | 94 | |
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Person | 92.3 | |
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Indoors | 87.3 | |
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Person | 84.4 | |
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Person | 83.4 | |
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Person | 79.9 | |
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Factory | 75.8 | |
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Room | 72.6 | |
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Person | 69.9 | |
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Person | 68.8 | |
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Person | 67.4 | |
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Person | 67.2 | |
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Person | 66.1 | |
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Housing | 64.5 | |
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Furniture | 64.4 | |
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Bench | 64.4 | |
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Person | 63.4 | |
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Hall | 62.4 | |
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Porch | 59.3 | |
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Bench | 59.3 | |
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People | 56.7 | |
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Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
warehouse | 40.7 | |
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building | 33.3 | |
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room | 30.3 | |
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architecture | 24.3 | |
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city | 24.1 | |
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classroom | 20.2 | |
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urban | 20.1 | |
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travel | 19 | |
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chair | 17.9 | |
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street | 17.5 | |
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transportation | 16.1 | |
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old | 15.3 | |
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house | 15 | |
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dairy | 14.2 | |
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hall | 14.2 | |
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car | 13.8 | |
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seat | 12.8 | |
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transport | 12.8 | |
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business | 12.8 | |
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structure | 12.4 | |
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floor | 12.1 | |
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light | 12 | |
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window | 12 | |
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station | 11.8 | |
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interior | 11.5 | |
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table | 11.3 | |
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scene | 11.3 | |
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furniture | 11.2 | |
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tourism | 10.7 | |
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wall | 10.6 | |
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industry | 10.3 | |
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historic | 10.1 | |
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garage | 10 | |
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road | 9.9 | |
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corridor | 9.8 | |
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sky | 9.6 | |
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lamp | 9.5 | |
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empty | 9.5 | |
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row | 9.3 | |
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center | 9.2 | |
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speed | 9.2 | |
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industrial | 9.1 | |
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people | 8.9 | |
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train | 8.7 | |
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vehicle | 8.5 | |
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perspective | 8.5 | |
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wheeled vehicle | 8.2 | |
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track | 8.2 | |
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toilet | 8.1 | |
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night | 8 | |
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subway | 7.9 | |
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glass | 7.8 | |
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modern | 7.7 | |
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culture | 7.7 | |
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freight car | 7.7 | |
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traffic | 7.6 | |
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place | 7.5 | |
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water | 7.3 | |
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occupation | 7.3 | |
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home | 7.2 | |
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life | 7.1 | |
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indoors | 7 | |
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door | 7 | |
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Google
created on 2019-06-07
Snapshot | 83.9 | |
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Room | 78 | |
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Sky | 73.3 | |
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Building | 72.9 | |
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Architecture | 72.6 | |
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Monochrome | 64.3 | |
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History | 60.4 | |
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Team | 52.3 | |
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Square | 51.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 49-69 |
Gender | Male, 54.8% |
Angry | 45.3% |
Surprised | 45.3% |
Sad | 45.2% |
Confused | 45.1% |
Happy | 46.2% |
Calm | 52% |
Disgusted | 45.8% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Calm | 50.2% |
Angry | 49.5% |
Happy | 49.6% |
Sad | 49.5% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 50.4% |
Calm | 49.5% |
Angry | 49.6% |
Disgusted | 49.6% |
Surprised | 49.5% |
Happy | 50% |
Confused | 49.5% |
Sad | 49.7% |

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

AWS Rekognition
Age | 10-15 |
Gender | Female, 50.5% |
Confused | 49.6% |
Disgusted | 49.5% |
Calm | 49.6% |
Angry | 49.6% |
Happy | 49.8% |
Sad | 49.7% |
Surprised | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Angry | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Sad | 50.3% |
Surprised | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Male, 50.4% |
Happy | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.5% |
Sad | 49.6% |
Disgusted | 49.6% |
Calm | 50.3% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.2% |
Sad | 49.9% |
Confused | 49.6% |
Disgusted | 49.6% |
Angry | 49.9% |
Happy | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |

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

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.2% |
Calm | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Sad | 50.4% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 50.3% |
Angry | 49.5% |
Happy | 49.5% |
Disgusted | 49.6% |
Sad | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 50.2% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 50% |
Calm | 50.4% |
Angry | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Sad | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Happy | 49.5% |
Calm | 49.6% |
Disgusted | 49.5% |
Angry | 49.9% |
Surprised | 49.6% |
Sad | 49.7% |
Confused | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Sad | 49.8% |
Angry | 49.7% |
Happy | 49.5% |
Disgusted | 49.7% |
Calm | 49.6% |
Surprised | 49.6% |
Confused | 49.5% |
Feature analysis
Categories
Imagga
streetview architecture | 96.5% | |
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cars vehicles | 1.7% | |
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Captions
Microsoft
created on 2019-06-07
a group of people in a room | 89.4% | |
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a group of people sitting on a bench in front of a building | 57.3% | |
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a group of people standing in front of a building | 57.2% | |
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Text analysis
Amazon

ASYLUM

WARD

EN'S ASYLUM WARD No4

EN'S

No4

WARD

4

72
EN ASYLUM
WARD NO 4

72

EN

ASYLUM

NO