Machine Generated Data
Tags
Amazon
created on 2019-06-05
School | 99.7 | |
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Classroom | 99.7 | |
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Room | 99.7 | |
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Indoors | 99.7 | |
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Human | 99.5 | |
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Person | 99.5 | |
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Person | 98.7 | |
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Chair | 97.9 | |
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Furniture | 97.9 | |
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Person | 96.1 | |
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Person | 95 | |
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Chair | 94.7 | |
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Person | 94.6 | |
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Person | 93.1 | |
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Person | 92.5 | |
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Cattle | 90.2 | |
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Cow | 90.2 | |
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Mammal | 90.2 | |
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Animal | 90.2 | |
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Chair | 88.5 | |
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Person | 87.6 | |
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Person | 83.8 | |
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Kindergarten | 82.6 | |
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Person | 74.5 | |
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Horse | 63.1 | |
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Person | 60.3 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
room | 57.4 | |
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interior | 43.3 | |
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blackboard | 40.8 | |
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chair | 37.4 | |
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iron lung | 37.2 | |
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barbershop | 33.6 | |
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table | 33.2 | |
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respirator | 29.7 | |
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shop | 28.6 | |
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furniture | 28.3 | |
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classroom | 26.3 | |
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restaurant | 25.6 | |
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breathing device | 22.5 | |
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home | 22.3 | |
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house | 20.9 | |
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mercantile establishment | 20.4 | |
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modern | 20.3 | |
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design | 18.6 | |
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inside | 18.4 | |
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floor | 17.7 | |
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indoors | 17.6 | |
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man | 15.4 | |
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device | 15.1 | |
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decor | 15 | |
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indoor | 14.6 | |
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hospital | 14.6 | |
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decoration | 14.5 | |
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people | 13.9 | |
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place of business | 13.8 | |
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dinner | 13.5 | |
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light | 13.4 | |
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seat | 13.2 | |
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kitchen | 12.7 | |
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wood | 12.5 | |
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architecture | 12.5 | |
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dining | 12.4 | |
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building | 12 | |
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window | 11.9 | |
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style | 11.9 | |
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chairs | 11.7 | |
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food | 11.5 | |
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comfortable | 11.4 | |
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glass | 10.9 | |
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person | 10.9 | |
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male | 10.6 | |
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old | 10.4 | |
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empty | 10.3 | |
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wall | 10.3 | |
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tables | 9.8 | |
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lunch | 9.4 | |
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contemporary | 9.4 | |
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lifestyle | 9.4 | |
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life | 9.4 | |
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space | 9.3 | |
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equipment | 9.2 | |
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office | 9.1 | |
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desk | 8.9 | |
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work | 8.6 | |
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men | 8.6 | |
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lamp | 8.6 | |
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relax | 8.4 | |
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eat | 8.4 | |
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vintage | 8.3 | |
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retro | 8.2 | |
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wooden | 7.9 | |
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stool | 7.9 | |
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party | 7.7 | |
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lighting | 7.7 | |
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luxury | 7.7 | |
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hotel | 7.6 | |
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living | 7.6 | |
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elegance | 7.6 | |
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drink | 7.5 | |
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occupation | 7.3 | |
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surgeon | 7.1 | |
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night | 7.1 | |
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to | 7.1 | |
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Google
created on 2019-06-05
Classroom | 91.7 | |
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Room | 91.6 | |
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Class | 90 | |
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State school | 68.5 | |
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Building | 53.4 | |
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Microsoft
created on 2019-06-05
indoor | 98.2 | |
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wall | 98 | |
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clothing | 95.6 | |
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person | 93.5 | |
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floor | 91.2 | |
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human face | 75.7 | |
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group | 74.4 | |
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black | 69.3 | |
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old | 68.1 | |
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toddler | 60.2 | |
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boy | 59 | |
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furniture | 53.5 | |
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child | 50.6 | |
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restaurant | 33.8 | |
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family | 27.3 | |
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dining table | 9.8 | |
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dining room | 9.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 9-14 |
Gender | Male, 74% |
Confused | 2.2% |
Happy | 0.6% |
Angry | 30.9% |
Sad | 58.2% |
Calm | 3.3% |
Disgusted | 2.8% |
Surprised | 1.9% |

AWS Rekognition
Age | 4-7 |
Gender | Male, 72.5% |
Disgusted | 3.5% |
Calm | 55.4% |
Surprised | 7.1% |
Sad | 15.3% |
Confused | 7.6% |
Angry | 8.8% |
Happy | 2.3% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 53% |
Happy | 45.1% |
Angry | 45.2% |
Calm | 47.6% |
Confused | 45.2% |
Surprised | 45.1% |
Disgusted | 45.1% |
Sad | 51.7% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 53.1% |
Sad | 49.3% |
Confused | 45.3% |
Calm | 45.2% |
Disgusted | 45.1% |
Happy | 45.5% |
Angry | 45.3% |
Surprised | 49.4% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.2% |
Disgusted | 45.6% |
Confused | 45.4% |
Angry | 47.8% |
Sad | 50.1% |
Surprised | 45.5% |
Happy | 45.3% |
Calm | 45.2% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 54.4% |
Angry | 45.8% |
Calm | 51.2% |
Sad | 45.9% |
Confused | 46.3% |
Disgusted | 45.2% |
Happy | 45.2% |
Surprised | 45.4% |

AWS Rekognition
Age | 4-7 |
Gender | Male, 53.9% |
Calm | 50.4% |
Disgusted | 45.2% |
Confused | 46.2% |
Angry | 45.6% |
Happy | 45.2% |
Sad | 46.8% |
Surprised | 45.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.2% |
Calm | 45.2% |
Disgusted | 45.3% |
Confused | 45.1% |
Angry | 45.5% |
Sad | 53.6% |
Happy | 45.1% |
Surprised | 45.1% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 53.4% |
Disgusted | 45.3% |
Confused | 45.3% |
Surprised | 45.5% |
Calm | 49.1% |
Happy | 45.1% |
Angry | 45.5% |
Sad | 49.2% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 50.6% |
Disgusted | 45.5% |
Calm | 50.7% |
Angry | 45.5% |
Sad | 47.6% |
Happy | 45.2% |
Surprised | 45.3% |
Confused | 45.2% |

Microsoft Cognitive Services
Age | 1 |
Gender | Male |

Microsoft Cognitive Services
Age | 3 |
Gender | Female |

Microsoft Cognitive Services
Age | 5 |
Gender | Female |

Microsoft Cognitive Services
Age | 1 |
Gender | Female |

Microsoft Cognitive Services
Age | 6 |
Gender | Male |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |

Microsoft Cognitive Services
Age | 1 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 85.7% | |
| ||
people portraits | 13% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people sitting at a table | 92.7% | |
| ||
a group of people sitting in a chair | 92.6% | |
| ||
a group of people sitting around a table | 92.3% | |
|
Text analysis
Amazon

"fitur