Machine Generated Data
Tags
Amazon
created on 2022-03-19
Person | 99.5 | |
| ||
Human | 99.5 | |
| ||
Person | 99.5 | |
| ||
Person | 99.4 | |
| ||
Person | 99.3 | |
| ||
Person | 97.1 | |
| ||
Person | 96.9 | |
| ||
Person | 96.8 | |
| ||
Person | 95.3 | |
| ||
Pedestrian | 95.3 | |
| ||
Person | 92.2 | |
| ||
Transportation | 85.4 | |
| ||
Vehicle | 85 | |
| ||
Wheel | 82.5 | |
| ||
Machine | 82.5 | |
| ||
Wheel | 82.4 | |
| ||
Crowd | 81.8 | |
| ||
Motorcycle | 80.2 | |
| ||
Wheel | 73.2 | |
| ||
Road | 69.2 | |
| ||
Person | 68.8 | |
| ||
People | 68.8 | |
| ||
Person | 66.5 | |
| ||
Person | 65.9 | |
| ||
Person | 62 | |
| ||
Clothing | 61.9 | |
| ||
Apparel | 61.9 | |
| ||
Car | 61.4 | |
| ||
Automobile | 61.4 | |
| ||
Person | 55.1 | |
|
Clarifai
created on 2023-10-28
Imagga
created on 2022-03-19
street | 35.9 | |
| ||
city | 30.8 | |
| ||
wheelchair | 27 | |
| ||
people | 23.4 | |
| ||
transportation | 23.3 | |
| ||
pedestrian | 22.2 | |
| ||
road | 21.7 | |
| ||
man | 20.8 | |
| ||
bike | 17.6 | |
| ||
person | 17.3 | |
| ||
bicycle | 17.1 | |
| ||
adult | 16.8 | |
| ||
sidewalk | 16.7 | |
| ||
outdoors | 16.6 | |
| ||
urban | 16.6 | |
| ||
male | 16.5 | |
| ||
vehicle | 16 | |
| ||
chair | 15.8 | |
| ||
building | 14.7 | |
| ||
travel | 14.1 | |
| ||
architecture | 14.1 | |
| ||
wheeled vehicle | 13.5 | |
| ||
wheel | 13.2 | |
| ||
lifestyle | 12.3 | |
| ||
traffic | 11.4 | |
| ||
walking | 11.4 | |
| ||
senior | 11.3 | |
| ||
men | 11.2 | |
| ||
seat | 11.1 | |
| ||
transport | 11 | |
| ||
active | 10.9 | |
| ||
military | 10.6 | |
| ||
old | 10.5 | |
| ||
outside | 10.3 | |
| ||
help | 10.3 | |
| ||
support | 10 | |
| ||
outdoor | 9.9 | |
| ||
world | 9.9 | |
| ||
park | 9.9 | |
| ||
activity | 9.9 | |
| ||
tourist | 9.8 | |
| ||
cycle | 9.8 | |
| ||
riding | 9.8 | |
| ||
sport | 9.7 | |
| ||
ride | 9.7 | |
| ||
town | 9.3 | |
| ||
historic | 9.2 | |
| ||
danger | 9.1 | |
| ||
care | 9.1 | |
| ||
jinrikisha | 9 | |
| ||
disability | 8.9 | |
| ||
mobility | 8.8 | |
| ||
soldier | 8.8 | |
| ||
standing | 8.7 | |
| ||
seller | 8.7 | |
| ||
illness | 8.6 | |
| ||
uniform | 8.6 | |
| ||
clothing | 8.5 | |
| ||
buildings | 8.5 | |
| ||
health | 8.3 | |
| ||
safety | 8.3 | |
| ||
tourism | 8.3 | |
| ||
gun | 8.2 | |
| ||
family | 8 | |
| ||
women | 7.9 | |
| ||
handicapped | 7.9 | |
| ||
disabled | 7.9 | |
| ||
day | 7.8 | |
| ||
industry | 7.7 | |
| ||
walk | 7.6 | |
| ||
horse | 7.6 | |
| ||
adults | 7.6 | |
| ||
cart | 7.6 | |
| ||
intersection | 7.5 | |
| ||
motorcycle | 7.4 | |
| ||
exterior | 7.4 | |
| ||
industrial | 7.3 | |
| ||
square | 7.2 | |
| ||
to | 7.1 | |
| ||
summer | 7.1 | |
| ||
sky | 7 | |
|
Google
created on 2022-03-19
Tire | 96.2 | |
| ||
Vehicle | 94.7 | |
| ||
Wheel | 93.9 | |
| ||
Motor vehicle | 92.6 | |
| ||
Building | 90.1 | |
| ||
Black-and-white | 84 | |
| ||
Style | 83.8 | |
| ||
Car | 78.6 | |
| ||
Classic | 75.8 | |
| ||
Monochrome photography | 71.7 | |
| ||
Automotive tire | 71 | |
| ||
Automotive design | 70.3 | |
| ||
Motorcycle | 70 | |
| ||
Monochrome | 69.7 | |
| ||
Vintage clothing | 68.7 | |
| ||
Sky | 67.7 | |
| ||
Rickshaw | 67.6 | |
| ||
History | 67 | |
| ||
Street | 66.6 | |
| ||
Crowd | 66.3 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 25-35 |
Gender | Male, 98.9% |
Calm | 99.4% |
Surprised | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |
Confused | 0.1% |
Happy | 0% |
Sad | 0% |
Fear | 0% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 91.7% |
Sad | 59.3% |
Disgusted | 17.3% |
Happy | 11% |
Calm | 7.7% |
Fear | 1.5% |
Surprised | 1.3% |
Angry | 1.2% |
Confused | 0.6% |

AWS Rekognition
Age | 20-28 |
Gender | Female, 50.2% |
Calm | 82.4% |
Happy | 5.7% |
Confused | 5.3% |
Sad | 2.1% |
Surprised | 2% |
Fear | 1% |
Angry | 1% |
Disgusted | 0.7% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 89.9% |
Happy | 57.1% |
Calm | 21.7% |
Sad | 9.9% |
Confused | 4.2% |
Surprised | 2.8% |
Fear | 2.2% |
Disgusted | 1.1% |
Angry | 1% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 97.5% |
Sad | 38.3% |
Calm | 31.4% |
Disgusted | 11.2% |
Angry | 6.2% |
Happy | 5.4% |
Confused | 4.5% |
Surprised | 1.7% |
Fear | 1.3% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 76.6% |
Calm | 88.2% |
Sad | 7.1% |
Confused | 1.5% |
Happy | 0.8% |
Angry | 0.8% |
Fear | 0.7% |
Disgusted | 0.5% |
Surprised | 0.3% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 63.1% |
Sad | 78.2% |
Fear | 6.3% |
Calm | 5.6% |
Angry | 3.7% |
Confused | 2.2% |
Disgusted | 1.8% |
Happy | 1.5% |
Surprised | 0.7% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.9% |
Calm | 94.3% |
Happy | 3% |
Sad | 0.9% |
Angry | 0.6% |
Confused | 0.5% |
Fear | 0.3% |
Disgusted | 0.2% |
Surprised | 0.1% |

AWS Rekognition
Age | 18-24 |
Gender | Female, 88.6% |
Calm | 87.5% |
Sad | 6.6% |
Fear | 3.7% |
Angry | 1% |
Confused | 0.4% |
Disgusted | 0.4% |
Surprised | 0.2% |
Happy | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 97.5% |
Happy | 29% |
Sad | 25.5% |
Disgusted | 23.8% |
Calm | 9.3% |
Angry | 4.8% |
Confused | 3.4% |
Surprised | 3.1% |
Fear | 1.1% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 77% |
Happy | 79% |
Calm | 8.2% |
Sad | 4.2% |
Angry | 3.6% |
Disgusted | 2.5% |
Surprised | 1.2% |
Confused | 0.9% |
Fear | 0.5% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 67.8% |
Calm | 71% |
Sad | 24.9% |
Angry | 1.3% |
Disgusted | 0.9% |
Fear | 0.6% |
Happy | 0.5% |
Surprised | 0.4% |
Confused | 0.3% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 82.1% |
Calm | 76.5% |
Sad | 16.6% |
Angry | 2.1% |
Confused | 2.1% |
Happy | 1% |
Fear | 1% |
Surprised | 0.5% |
Disgusted | 0.3% |

AWS Rekognition
Age | 11-19 |
Gender | Male, 99.9% |
Surprised | 43.8% |
Angry | 16.4% |
Sad | 11.9% |
Calm | 10.8% |
Confused | 8.1% |
Happy | 4.4% |
Fear | 2.7% |
Disgusted | 1.9% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 85.3% |
Calm | 66.7% |
Fear | 17.2% |
Happy | 9.3% |
Sad | 3.1% |
Angry | 2% |
Disgusted | 0.7% |
Confused | 0.6% |
Surprised | 0.4% |

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

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

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 |
Feature analysis
Categories
Imagga
nature landscape | 53% | |
| ||
streetview architecture | 46% | |
|
Captions
Microsoft
created on 2022-03-19
a vintage photo of a group of people walking down a street | 96.3% | |
| ||
a vintage photo of a group of people walking down the street | 96.2% | |
| ||
a vintage photo of a group of people on a street | 95.1% | |
|
Text analysis
Amazon

80-309

GLOVERDALE

HALEYS

WALEYS

WALEYS