Machine Generated Data
Tags
Amazon
created on 2023-10-25
Person | 98.7 | |
| ||
Person | 97.9 | |
| ||
Person | 97.9 | |
| ||
Person | 97.8 | |
| ||
Person | 97.4 | |
| ||
Person | 97.1 | |
| ||
Person | 96.6 | |
| ||
Outdoors | 96.5 | |
| ||
Person | 96.5 | |
| ||
Person | 96.3 | |
| ||
Person | 95.1 | |
| ||
City | 93.1 | |
| ||
Person | 92.7 | |
| ||
Person | 92.2 | |
| ||
People | 91.7 | |
| ||
Person | 90.5 | |
| ||
Person | 89.7 | |
| ||
Person | 88.2 | |
| ||
Person | 88.1 | |
| ||
Person | 71.9 | |
| ||
Person | 63.8 | |
| ||
Motorcycle | 62.7 | |
| ||
Transportation | 62.7 | |
| ||
Vehicle | 62.7 | |
| ||
Play Area | 62.3 | |
| ||
Road | 57.6 | |
| ||
Walking | 57.5 | |
| ||
Terminal | 57.1 | |
| ||
Outdoor Play Area | 56.9 | |
| ||
Path | 56.5 | |
| ||
Urban | 55.9 | |
| ||
Person | 55.9 | |
| ||
Bicycle | 55.7 | |
| ||
Sidewalk | 55.6 | |
| ||
Airport | 55.6 | |
| ||
Face | 55.1 | |
| ||
Head | 55.1 | |
|
Clarifai
created on 2023-10-15
people | 99.9 | |
| ||
group together | 99.8 | |
| ||
group | 98.6 | |
| ||
many | 98.4 | |
| ||
transportation system | 97.8 | |
| ||
adult | 97.7 | |
| ||
watercraft | 97.3 | |
| ||
man | 97.2 | |
| ||
one | 96.9 | |
| ||
two | 96.2 | |
| ||
vehicle | 96.1 | |
| ||
three | 95.8 | |
| ||
recreation | 95.1 | |
| ||
several | 92.9 | |
| ||
competition | 91 | |
| ||
outfit | 90.2 | |
| ||
military | 89.8 | |
| ||
four | 88.1 | |
| ||
sports equipment | 88.1 | |
| ||
war | 86.7 | |
|
Imagga
created on 2019-01-31
city | 18.3 | |
| ||
device | 17.2 | |
| ||
building | 16.9 | |
| ||
equipment | 16.6 | |
| ||
silhouette | 16.5 | |
| ||
structure | 15.8 | |
| ||
musical instrument | 15.4 | |
| ||
sky | 15.3 | |
| ||
urban | 14.8 | |
| ||
water | 14 | |
| ||
accordion | 13.9 | |
| ||
architecture | 12.8 | |
| ||
black | 12.6 | |
| ||
keyboard instrument | 11.6 | |
| ||
outdoor | 11.5 | |
| ||
radio | 11.4 | |
| ||
fence | 11.3 | |
| ||
travel | 11.3 | |
| ||
construction | 11.1 | |
| ||
industrial | 10.9 | |
| ||
metal | 10.5 | |
| ||
technology | 10.4 | |
| ||
business | 10.3 | |
| ||
industry | 10.2 | |
| ||
winter | 10.2 | |
| ||
man | 10.2 | |
| ||
barrier | 9.7 | |
| ||
wheeled vehicle | 9.6 | |
| ||
light | 9.3 | |
| ||
transport | 9.1 | |
| ||
landmark | 9 | |
| ||
transportation | 9 | |
| ||
ride | 8.9 | |
| ||
tower | 8.9 | |
| ||
park | 8.9 | |
| ||
wind instrument | 8.6 | |
| ||
window | 8.5 | |
| ||
modern | 8.4 | |
| ||
people | 8.4 | |
| ||
broadcasting | 8.4 | |
| ||
car mirror | 8 | |
| ||
steel | 7.9 | |
| ||
sea | 7.8 | |
| ||
ferris wheel | 7.7 | |
| ||
outside | 7.7 | |
| ||
ship | 7.7 | |
| ||
old | 7.7 | |
| ||
cityscape | 7.6 | |
| ||
power | 7.5 | |
| ||
iron | 7.5 | |
| ||
landscape | 7.4 | |
| ||
street | 7.4 | |
| ||
shopping cart | 7.2 | |
| ||
passenger | 7.2 | |
| ||
team | 7.2 | |
| ||
mirror | 7.1 | |
| ||
river | 7.1 | |
| ||
bridge | 7.1 | |
| ||
wall | 7 | |
|
Google
created on 2019-01-31
Photograph | 95.9 | |
| ||
Black-and-white | 86.3 | |
| ||
Snapshot | 85.8 | |
| ||
Text | 85.2 | |
| ||
Monochrome photography | 80.4 | |
| ||
Photography | 78 | |
| ||
Net | 74.9 | |
| ||
Monochrome | 64.3 | |
| ||
Square | 54.2 | |
| ||
Style | 51 | |
|
Microsoft
created on 2019-01-31
window | 99.3 | |
| ||
indoor | 91.1 | |
| ||
black and white | 91.1 | |
| ||
street | 61.6 | |
| ||
monochrome | 26.9 | |
| ||
shadow | 25.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 37-45 |
Gender | Male, 100% |
Disgusted | 61.5% |
Happy | 29.9% |
Surprised | 6.6% |
Fear | 6.1% |
Sad | 3.2% |
Confused | 2% |
Calm | 1.4% |
Angry | 1.3% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 94.5% |
Happy | 43.9% |
Calm | 32.7% |
Surprised | 8.2% |
Fear | 7% |
Confused | 6.6% |
Disgusted | 4.9% |
Sad | 3.5% |
Angry | 2.4% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.8% |
Calm | 85.5% |
Happy | 10.7% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.4% |
Confused | 1.4% |
Angry | 0.5% |
Disgusted | 0.5% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 98% |
Calm | 92.5% |
Surprised | 7.1% |
Fear | 6% |
Sad | 3.4% |
Angry | 1.5% |
Disgusted | 0.3% |
Happy | 0.3% |
Confused | 0.2% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 62.3% |
Happy | 81.3% |
Calm | 10.4% |
Surprised | 8% |
Fear | 6% |
Sad | 2.4% |
Disgusted | 2.3% |
Angry | 1.2% |
Confused | 0.5% |

AWS Rekognition
Age | 31-41 |
Gender | Male, 99.3% |
Happy | 51.5% |
Calm | 30.6% |
Surprised | 6.9% |
Fear | 6.3% |
Sad | 5.5% |
Disgusted | 5.4% |
Angry | 2.3% |
Confused | 1.2% |

AWS Rekognition
Age | 16-22 |
Gender | Male, 98.4% |
Happy | 58.1% |
Sad | 18.7% |
Surprised | 13.1% |
Calm | 9.7% |
Fear | 6.5% |
Angry | 2.3% |
Disgusted | 1.9% |
Confused | 0.4% |

AWS Rekognition
Age | 6-16 |
Gender | Male, 81% |
Calm | 95.8% |
Surprised | 6.3% |
Fear | 5.9% |
Happy | 2.4% |
Sad | 2.2% |
Angry | 0.5% |
Disgusted | 0.3% |
Confused | 0.3% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 61.9% |
Sad | 96.1% |
Calm | 27.2% |
Surprised | 8.7% |
Fear | 8.1% |
Happy | 5.7% |
Angry | 4.5% |
Confused | 2.3% |
Disgusted | 1.9% |
Feature analysis
Categories
Imagga
paintings art | 93.5% | |
| ||
food drinks | 4.4% | |
| ||
interior objects | 1.5% | |
|
Captions
Microsoft
created on 2019-01-31
a group of people standing in front of a window | 89% | |
| ||
a group of people standing next to a window | 88.9% | |
| ||
a group of people in front of a window | 87.6% | |
|