Machine Generated Data
Tags
Amazon
created on 2022-02-26
Shorts | 99.9 | |
| ||
Clothing | 99.9 | |
| ||
Apparel | 99.9 | |
| ||
Person | 99.8 | |
| ||
Human | 99.8 | |
| ||
Person | 99.7 | |
| ||
Person | 99.7 | |
| ||
Person | 99.5 | |
| ||
Person | 98.9 | |
| ||
Tennis Racket | 93.3 | |
| ||
Racket | 93.3 | |
| ||
Tie | 91.4 | |
| ||
Accessories | 91.4 | |
| ||
Accessory | 91.4 | |
| ||
Person | 84.3 | |
| ||
People | 77.5 | |
| ||
Tennis Racket | 76.9 | |
| ||
Outdoors | 75.5 | |
| ||
Shoe | 74 | |
| ||
Footwear | 74 | |
| ||
Shoe | 71.3 | |
| ||
Face | 63.1 | |
| ||
Hat | 62.3 | |
| ||
Nature | 58.9 | |
| ||
Cap | 56.4 | |
|
Clarifai
created on 2023-10-29
people | 99.9 | |
| ||
group | 98.5 | |
| ||
group together | 97.8 | |
| ||
adult | 96.2 | |
| ||
man | 95.3 | |
| ||
wear | 94.6 | |
| ||
leader | 93.7 | |
| ||
many | 93.7 | |
| ||
several | 92.5 | |
| ||
woman | 89.7 | |
| ||
five | 88 | |
| ||
child | 85.6 | |
| ||
three | 82.1 | |
| ||
boxer | 80.4 | |
| ||
recreation | 80.2 | |
| ||
portrait | 79.3 | |
| ||
administration | 78.6 | |
| ||
athlete | 78.3 | |
| ||
four | 77.2 | |
| ||
monochrome | 75.9 | |
|
Imagga
created on 2022-02-26
musical instrument | 83.7 | |
| ||
percussion instrument | 51.2 | |
| ||
accordion | 39.7 | |
| ||
wind instrument | 33.6 | |
| ||
marimba | 32.7 | |
| ||
keyboard instrument | 31 | |
| ||
man | 28.2 | |
| ||
people | 24.5 | |
| ||
vibraphone | 22.9 | |
| ||
male | 21.3 | |
| ||
silhouette | 20.7 | |
| ||
adult | 18.8 | |
| ||
shopping cart | 18.8 | |
| ||
person | 17.4 | |
| ||
lifestyle | 17.3 | |
| ||
sax | 16.9 | |
| ||
device | 15.5 | |
| ||
handcart | 15 | |
| ||
men | 13.7 | |
| ||
wheeled vehicle | 13.2 | |
| ||
smiling | 13 | |
| ||
day | 12.5 | |
| ||
friends | 12.2 | |
| ||
outdoors | 11.9 | |
| ||
women | 11.9 | |
| ||
casual | 11.9 | |
| ||
leisure | 11.6 | |
| ||
business | 11.5 | |
| ||
sky | 10.8 | |
| ||
sunset | 10.8 | |
| ||
happy | 10.6 | |
| ||
group | 10.5 | |
| ||
black | 10.2 | |
| ||
happiness | 10.2 | |
| ||
sport | 10.2 | |
| ||
water | 10 | |
| ||
outdoor | 9.9 | |
| ||
fun | 9.7 | |
| ||
summer | 9.6 | |
| ||
couple | 9.6 | |
| ||
building | 9.5 | |
| ||
sitting | 9.4 | |
| ||
two | 9.3 | |
| ||
active | 9.3 | |
| ||
relaxation | 9.2 | |
| ||
city | 9.1 | |
| ||
together | 8.8 | |
| ||
boy | 8.7 | |
| ||
container | 8.4 | |
| ||
portrait | 8.4 | |
| ||
teen | 8.3 | |
| ||
holding | 8.3 | |
| ||
park | 8.2 | |
| ||
cheerful | 8.1 | |
| ||
concertina | 8 | |
| ||
job | 8 | |
| ||
full length | 7.8 | |
| ||
outside | 7.7 | |
| ||
youth | 7.7 | |
| ||
old | 7.7 | |
| ||
friendship | 7.5 | |
| ||
tourism | 7.4 | |
| ||
musician | 7.3 | |
| ||
skateboard | 7.2 | |
| ||
recreation | 7.2 | |
| ||
smile | 7.1 | |
| ||
businessman | 7.1 | |
| ||
travel | 7 | |
| ||
architecture | 7 | |
|
Google
created on 2022-02-26
Racketlon | 94.4 | |
| ||
Strings | 92.7 | |
| ||
Racket | 88.9 | |
| ||
Racquet sport | 88.3 | |
| ||
Tennis | 88.3 | |
| ||
Tennis player | 87.7 | |
| ||
Tennis Equipment | 82.5 | |
| ||
Player | 80.6 | |
| ||
Soft tennis | 80.2 | |
| ||
Tennis racket | 79.2 | |
| ||
Net | 75.3 | |
| ||
Sports equipment | 75 | |
| ||
Ball game | 72.2 | |
| ||
Monochrome | 71.3 | |
| ||
Net sports | 70.6 | |
| ||
Sports | 70.2 | |
| ||
Team | 68.5 | |
| ||
Symmetry | 67.9 | |
| ||
Vintage clothing | 66.1 | |
| ||
Real tennis | 65.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 31-41 |
Gender | Female, 52.7% |
Happy | 52.4% |
Calm | 45.4% |
Sad | 0.9% |
Surprised | 0.5% |
Confused | 0.4% |
Disgusted | 0.3% |
Fear | 0.1% |
Angry | 0.1% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 90.5% |
Calm | 95.9% |
Sad | 3.4% |
Happy | 0.2% |
Disgusted | 0.1% |
Angry | 0.1% |
Fear | 0.1% |
Confused | 0.1% |
Surprised | 0.1% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 96.9% |
Calm | 63.1% |
Happy | 34.3% |
Confused | 0.9% |
Sad | 0.7% |
Surprised | 0.4% |
Fear | 0.3% |
Disgusted | 0.2% |
Angry | 0.1% |

AWS Rekognition
Age | 47-53 |
Gender | Male, 97.6% |
Calm | 99.3% |
Sad | 0.4% |
Happy | 0.1% |
Confused | 0% |
Disgusted | 0% |
Surprised | 0% |
Angry | 0% |
Fear | 0% |

AWS Rekognition
Age | 40-48 |
Gender | Male, 98.6% |
Happy | 69.4% |
Sad | 14.3% |
Calm | 10.2% |
Confused | 4.3% |
Surprised | 0.7% |
Disgusted | 0.5% |
Angry | 0.4% |
Fear | 0.3% |

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 | Unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 55.7% | |
| ||
streetview architecture | 40.7% | |
| ||
paintings art | 1.7% | |
|
Captions
Microsoft
created on 2022-02-26
a group of people posing for a picture | 84.6% | |
| ||
a group of people posing for a photo | 78.2% | |
| ||
a group of people posing for the camera | 78.1% | |
|
Text analysis
Amazon

3

2

MJI7--YT 37A°2--XAC

MJI7--YT

37A°2--XAC