Machine Generated Data
Tags
Amazon
created on 2023-10-07
Architecture | 98.5 | |
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Building | 98.5 | |
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Outdoors | 98.5 | |
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Shelter | 98.5 | |
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Adult | 98.2 | |
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Male | 98.2 | |
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Man | 98.2 | |
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Person | 98.2 | |
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Person | 98.1 | |
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Person | 98.1 | |
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Adult | 97.9 | |
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Person | 97.9 | |
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Female | 97.9 | |
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Woman | 97.9 | |
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Person | 97.9 | |
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Person | 97.8 | |
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Adult | 96.8 | |
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Male | 96.8 | |
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Man | 96.8 | |
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Person | 96.8 | |
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Person | 96.6 | |
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People | 96 | |
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Person | 95.6 | |
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Person | 94.2 | |
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Person | 92.9 | |
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Person | 87 | |
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Person | 80 | |
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Bus Stop | 69.6 | |
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Boarding | 67.6 | |
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Head | 67.4 | |
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Person | 64.4 | |
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Nature | 60.2 | |
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Machine | 55.8 | |
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Wheel | 55.8 | |
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Hospital | 55.2 | |
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Urban | 55.2 | |
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Back | 55.1 | |
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Body Part | 55.1 | |
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Clothing | 55 | |
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Coat | 55 | |
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Monastery | 55 | |
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Clarifai
created on 2018-05-10
Imagga
created on 2023-10-07
stretcher | 46.9 | |
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litter | 37.4 | |
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uniform | 35 | |
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military uniform | 29.5 | |
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conveyance | 28.9 | |
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clothing | 24.7 | |
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man | 20.1 | |
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danger | 20 | |
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people | 19.5 | |
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male | 18.4 | |
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military | 17.4 | |
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street | 16.6 | |
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war | 16.4 | |
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person | 15.1 | |
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soldier | 14.7 | |
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helmet | 14.4 | |
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city | 13.3 | |
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gun | 12.9 | |
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army | 12.7 | |
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consumer goods | 12.2 | |
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covering | 12.1 | |
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weapon | 11.7 | |
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urban | 11.4 | |
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building | 11.4 | |
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men | 11.2 | |
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safety | 11 | |
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industrial | 10.9 | |
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transportation | 10.8 | |
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destruction | 10.7 | |
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adult | 10.6 | |
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protection | 10 | |
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camouflage | 9.8 | |
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disaster | 9.8 | |
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old | 9.7 | |
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work | 9.4 | |
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fire | 9.4 | |
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vehicle | 9.2 | |
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dirty | 9 | |
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road | 9 | |
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scene | 8.7 | |
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architecture | 8.6 | |
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dangerous | 8.6 | |
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business | 8.5 | |
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travel | 8.4 | |
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room | 8.3 | |
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sport | 8.1 | |
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activity | 8.1 | |
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car | 7.9 | |
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black | 7.8 | |
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accident | 7.8 | |
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protective | 7.8 | |
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emergency | 7.7 | |
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power | 7.6 | |
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smoke | 7.4 | |
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equipment | 7.4 | |
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group | 7.3 | |
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day | 7.1 | |
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Google
created on 2018-05-10
photograph | 95.7 | |
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black | 95 | |
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black and white | 88.8 | |
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snapshot | 81.8 | |
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monochrome photography | 75.8 | |
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standing | 74.8 | |
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monochrome | 63.7 | |
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vintage clothing | 56.2 | |
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vehicle | 52.6 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 27-37 |
Gender | Male, 68.6% |
Sad | 100% |
Surprised | 6.3% |
Fear | 5.9% |
Calm | 5.8% |
Confused | 2.9% |
Angry | 0.1% |
Happy | 0.1% |
Disgusted | 0% |

AWS Rekognition
Age | 10-18 |
Gender | Male, 86.1% |
Calm | 65.4% |
Sad | 17.3% |
Confused | 11.3% |
Surprised | 7.6% |
Fear | 6% |
Disgusted | 2.1% |
Angry | 1.5% |
Happy | 1.2% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 68% |
Sad | 99.8% |
Calm | 21% |
Fear | 7.2% |
Surprised | 6.6% |
Angry | 2.2% |
Confused | 2% |
Happy | 1.1% |
Disgusted | 0.7% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 95.8% |
Fear | 52.2% |
Calm | 27.7% |
Sad | 18.5% |
Surprised | 10.5% |
Happy | 3% |
Disgusted | 1.7% |
Angry | 1.6% |
Confused | 0.5% |

AWS Rekognition
Age | 6-12 |
Gender | Female, 50.9% |
Calm | 67.4% |
Confused | 12.6% |
Fear | 10.8% |
Surprised | 7% |
Sad | 3.2% |
Happy | 2.3% |
Disgusted | 2% |
Angry | 1.5% |
Feature analysis
Amazon
Adult
Male
Man
Person
Female
Woman
Wheel
Categories
Imagga
pets animals | 69.9% | |
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interior objects | 13.8% | |
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paintings art | 9.7% | |
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people portraits | 2.9% | |
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food drinks | 1.3% | |
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Captions
Microsoft
created on 2018-05-10
a group of people posing for a photo | 96.9% | |
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a group of people posing for the camera | 96.8% | |
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a group of people posing for a picture | 96.7% | |
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