Machine Generated Data
Tags
Amazon
created on 2022-03-05
Person | 99.8 | |
| ||
Human | 99.8 | |
| ||
Person | 99.8 | |
| ||
Person | 99.4 | |
| ||
Person | 98.9 | |
| ||
Person | 98.8 | |
| ||
Person | 98.7 | |
| ||
Clothing | 92.8 | |
| ||
Apparel | 92.8 | |
| ||
Shorts | 91.4 | |
| ||
Bus | 90.6 | |
| ||
Transportation | 90.6 | |
| ||
Vehicle | 90.6 | |
| ||
Person | 90.1 | |
| ||
Person | 89.6 | |
| ||
Wheel | 89.2 | |
| ||
Machine | 89.2 | |
| ||
Person | 88 | |
| ||
People | 84.2 | |
| ||
Person | 81.7 | |
| ||
Military | 73.1 | |
| ||
Person | 71.7 | |
| ||
Outdoors | 70.4 | |
| ||
Military Uniform | 70.4 | |
| ||
Pants | 67.1 | |
| ||
Van | 64.8 | |
| ||
Army | 64.8 | |
| ||
Armored | 64.8 | |
| ||
Person | 64.1 | |
| ||
Kid | 61.4 | |
| ||
Child | 61.4 | |
| ||
Meal | 60.7 | |
| ||
Food | 60.7 | |
| ||
Soldier | 55.4 | |
| ||
Train | 52.3 | |
|
Clarifai
created on 2023-10-22
people | 99.9 | |
| ||
child | 99.4 | |
| ||
group together | 98.6 | |
| ||
group | 98 | |
| ||
adult | 97.5 | |
| ||
woman | 97.3 | |
| ||
man | 95.7 | |
| ||
family | 95.2 | |
| ||
many | 94.9 | |
| ||
vehicle | 92.8 | |
| ||
uniform | 92.3 | |
| ||
boy | 91.3 | |
| ||
street | 90.3 | |
| ||
transportation system | 89.8 | |
| ||
wait | 87.7 | |
| ||
school | 87.3 | |
| ||
recreation | 86.3 | |
| ||
education | 86 | |
| ||
several | 84.3 | |
| ||
elementary school | 83.9 | |
|
Imagga
created on 2022-03-05
wheeled vehicle | 34.9 | |
| ||
streetcar | 28.1 | |
| ||
vehicle | 26.1 | |
| ||
conveyance | 22.9 | |
| ||
architecture | 21.3 | |
| ||
building | 20.9 | |
| ||
city | 20.8 | |
| ||
street | 20.2 | |
| ||
house | 20.1 | |
| ||
car | 19.1 | |
| ||
transportation | 17.9 | |
| ||
road | 17.2 | |
| ||
wagon | 17 | |
| ||
passenger | 16.4 | |
| ||
travel | 16.2 | |
| ||
urban | 15.7 | |
| ||
tramway | 14.8 | |
| ||
transport | 14.6 | |
| ||
sky | 14 | |
| ||
structure | 13.1 | |
| ||
bus | 12.6 | |
| ||
stall | 12.1 | |
| ||
trees | 11.6 | |
| ||
night | 11.5 | |
| ||
scene | 11.2 | |
| ||
old | 11.1 | |
| ||
station | 11.1 | |
| ||
tree | 10 | |
| ||
business | 9.7 | |
| ||
home | 9.6 | |
| ||
traffic | 9.5 | |
| ||
destination | 9.3 | |
| ||
dark | 9.2 | |
| ||
tourist | 9.2 | |
| ||
train | 9 | |
| ||
landscape | 8.9 | |
| ||
rural | 8.8 | |
| ||
shuttle bus | 8.8 | |
| ||
park | 8.7 | |
| ||
public transport | 8.7 | |
| ||
track | 8.6 | |
| ||
day | 8.6 | |
| ||
passenger car | 8.6 | |
| ||
window | 8.5 | |
| ||
people | 8.4 | |
| ||
historic | 8.2 | |
| ||
container | 8.1 | |
| ||
light | 8 | |
| ||
facility | 7.8 | |
| ||
public transit | 7.7 | |
| ||
culture | 7.7 | |
| ||
power | 7.6 | |
| ||
tourism | 7.4 | |
| ||
exterior | 7.4 | |
| ||
office | 7.2 | |
| ||
history | 7.1 | |
| ||
shuttle | 7 | |
| ||
scenic | 7 | |
|
Google
created on 2022-03-05
Vehicle | 92.1 | |
| ||
Motor vehicle | 88.8 | |
| ||
Car | 84 | |
| ||
People | 77.8 | |
| ||
Wheel | 77.7 | |
| ||
Tints and shades | 76.5 | |
| ||
Tire | 75.2 | |
| ||
Tree | 73.6 | |
| ||
Suit | 71.9 | |
| ||
Monochrome | 67.3 | |
| ||
Automotive lighting | 67.3 | |
| ||
History | 67 | |
| ||
Vintage clothing | 66.9 | |
| ||
Classic | 65.6 | |
| ||
Monochrome photography | 64.5 | |
| ||
Pole | 63.4 | |
| ||
Family car | 60.4 | |
| ||
Rolling stock | 59.5 | |
| ||
Vehicle door | 58.6 | |
| ||
Classic car | 58 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 30-40 |
Gender | Male, 99.6% |
Calm | 66.1% |
Happy | 27.7% |
Sad | 2.8% |
Fear | 2% |
Angry | 0.4% |
Disgusted | 0.3% |
Surprised | 0.3% |
Confused | 0.3% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 52.9% |
Happy | 50.6% |
Calm | 40.2% |
Sad | 2.6% |
Surprised | 2.3% |
Disgusted | 2.2% |
Fear | 0.8% |
Angry | 0.8% |
Confused | 0.4% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 62.2% |
Calm | 70.2% |
Sad | 12.4% |
Fear | 5.2% |
Happy | 3.7% |
Surprised | 3.1% |
Confused | 2.3% |
Disgusted | 1.9% |
Angry | 1.3% |

AWS Rekognition
Age | 42-50 |
Gender | Male, 99.7% |
Calm | 75.1% |
Fear | 11.4% |
Happy | 9.7% |
Sad | 2.8% |
Confused | 0.4% |
Disgusted | 0.3% |
Surprised | 0.2% |
Angry | 0.2% |

AWS Rekognition
Age | 51-59 |
Gender | Female, 99.4% |
Happy | 92.2% |
Calm | 6.7% |
Confused | 0.3% |
Surprised | 0.3% |
Sad | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |
Angry | 0.1% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 96.6% |
Calm | 35.9% |
Happy | 34.4% |
Confused | 16% |
Sad | 5.9% |
Disgusted | 3.3% |
Angry | 3% |
Surprised | 1% |
Fear | 0.6% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 77.2% |
Calm | 70.4% |
Happy | 10.7% |
Confused | 8% |
Sad | 5.4% |
Angry | 2.4% |
Disgusted | 1.4% |
Surprised | 1.3% |
Fear | 0.3% |

AWS Rekognition
Age | 20-28 |
Gender | Female, 85.1% |
Calm | 99.8% |
Happy | 0.1% |
Surprised | 0% |
Disgusted | 0% |
Sad | 0% |
Angry | 0% |
Fear | 0% |
Confused | 0% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 98.1% |
Calm | 96.3% |
Happy | 2% |
Sad | 0.8% |
Confused | 0.4% |
Disgusted | 0.2% |
Angry | 0.1% |
Surprised | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 76.2% |
Happy | 91.5% |
Calm | 3.3% |
Sad | 2.9% |
Fear | 1% |
Confused | 0.5% |
Disgusted | 0.3% |
Angry | 0.3% |
Surprised | 0.2% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 99.7% |
Sad | 58.4% |
Confused | 24.8% |
Calm | 14% |
Happy | 0.9% |
Disgusted | 0.7% |
Fear | 0.5% |
Surprised | 0.5% |
Angry | 0.2% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 70.5% |
Calm | 88.4% |
Happy | 3.4% |
Confused | 2.1% |
Fear | 1.6% |
Surprised | 1.3% |
Sad | 1.2% |
Angry | 1% |
Disgusted | 0.9% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 51.8% |
Happy | 75.8% |
Calm | 19.1% |
Sad | 1.8% |
Disgusted | 1% |
Confused | 0.7% |
Fear | 0.7% |
Surprised | 0.5% |
Angry | 0.4% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 98.3% |
Calm | 40.6% |
Happy | 32.4% |
Sad | 8.1% |
Confused | 5.5% |
Surprised | 4.7% |
Disgusted | 3.6% |
Fear | 3.3% |
Angry | 1.9% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 81.2% |
Calm | 85.2% |
Happy | 13.8% |
Disgusted | 0.3% |
Confused | 0.2% |
Surprised | 0.2% |
Sad | 0.2% |
Angry | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 79.5% |
Calm | 84.2% |
Sad | 5.3% |
Happy | 3.3% |
Disgusted | 2% |
Surprised | 1.8% |
Confused | 1.7% |
Angry | 1.3% |
Fear | 0.4% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 52.7% |
Happy | 97.4% |
Calm | 1.3% |
Confused | 0.9% |
Sad | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.7% |
Calm | 66% |
Happy | 21.2% |
Sad | 6.8% |
Confused | 3.1% |
Surprised | 1.4% |
Disgusted | 0.6% |
Angry | 0.5% |
Fear | 0.4% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 81.6% |
Calm | 95.6% |
Sad | 4.1% |
Confused | 0.1% |
Happy | 0.1% |
Disgusted | 0.1% |
Surprised | 0% |
Angry | 0% |
Fear | 0% |

AWS Rekognition
Age | 41-49 |
Gender | Male, 95.9% |
Happy | 79.7% |
Calm | 13.3% |
Surprised | 2.2% |
Disgusted | 1.5% |
Sad | 1.2% |
Angry | 0.9% |
Fear | 0.7% |
Confused | 0.5% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 94.5% |
Calm | 87.3% |
Happy | 6.4% |
Sad | 5% |
Fear | 0.7% |
Disgusted | 0.2% |
Angry | 0.2% |
Surprised | 0.1% |
Confused | 0.1% |

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 | 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 | Unlikely |

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

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

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

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

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 | Unlikely |
Blurred | Unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 86.8% | |
| ||
paintings art | 6.2% | |
| ||
cars vehicles | 5.1% | |
|
Captions
Microsoft
created on 2022-03-05
Text analysis
Amazon

SCHOOL

MAIMONIDES

51988.

ROBOR--COVEEIX

MAIMONIRES

MAIMONIRES