Machine Generated Data
Tags
Amazon
created on 2022-03-12
Person | 99.4 | |
| ||
Human | 99.4 | |
| ||
Person | 98.5 | |
| ||
Sunglasses | 97.9 | |
| ||
Accessories | 97.9 | |
| ||
Accessory | 97.9 | |
| ||
Person | 97.3 | |
| ||
Piano | 96.8 | |
| ||
Musical Instrument | 96.8 | |
| ||
Leisure Activities | 96.8 | |
| ||
Electronics | 96.4 | |
| ||
Person | 93.4 | |
| ||
Person | 91.6 | |
| ||
Keyboard | 89 | |
| ||
Person | 82.9 | |
| ||
Person | 81.1 | |
| ||
Person | 81.1 | |
| ||
Person | 78.8 | |
| ||
Person | 78.6 | |
| ||
Person | 77.9 | |
| ||
Sunglasses | 70 | |
| ||
Sunglasses | 65.4 | |
| ||
Person | 61.9 | |
| ||
Chess | 61.2 | |
| ||
Game | 61.2 | |
| ||
Person | 49 | |
|
Clarifai
created on 2025-01-10
music | 99.9 | |
| ||
instrument | 99.9 | |
| ||
people | 99.9 | |
| ||
musician | 99.9 | |
| ||
piano | 99.7 | |
| ||
jazz | 99.5 | |
| ||
group | 99 | |
| ||
adult | 98.7 | |
| ||
singer | 97.4 | |
| ||
man | 96.9 | |
| ||
two | 96.8 | |
| ||
pianist | 96.7 | |
| ||
wear | 96 | |
| ||
group together | 95.9 | |
| ||
one | 94.9 | |
| ||
many | 94.7 | |
| ||
actress | 94.6 | |
| ||
woman | 93.8 | |
| ||
performance | 93.3 | |
| ||
classical music | 93.2 | |
|
Imagga
created on 2022-03-12
electric organ | 100 | |
| ||
electronic instrument | 100 | |
| ||
musical instrument | 100 | |
| ||
device | 60.9 | |
| ||
synthesizer | 42.4 | |
| ||
keyboard | 31.9 | |
| ||
music | 31.8 | |
| ||
piano | 29.1 | |
| ||
keyboard instrument | 28.3 | |
| ||
playing | 22.8 | |
| ||
people | 21.8 | |
| ||
instrument | 19.5 | |
| ||
play | 19 | |
| ||
person | 16.9 | |
| ||
harmonium | 16.8 | |
| ||
man | 16.8 | |
| ||
male | 16.3 | |
| ||
happy | 16.3 | |
| ||
musical | 16.3 | |
| ||
adult | 16.2 | |
| ||
sound | 15.9 | |
| ||
hand | 14.4 | |
| ||
computer | 14.4 | |
| ||
free-reed instrument | 13.8 | |
| ||
equipment | 13.7 | |
| ||
musician | 13.6 | |
| ||
portrait | 13.6 | |
| ||
wind instrument | 13.1 | |
| ||
home | 12.8 | |
| ||
keys | 12.7 | |
| ||
technology | 12.6 | |
| ||
work | 12.6 | |
| ||
child | 12.5 | |
| ||
key | 12.2 | |
| ||
sitting | 12 | |
| ||
attractive | 11.9 | |
| ||
business | 11.5 | |
| ||
indoors | 11.4 | |
| ||
black | 11.4 | |
| ||
education | 11.3 | |
| ||
entertainment | 11 | |
| ||
smiling | 10.9 | |
| ||
performance | 10.5 | |
| ||
happiness | 10.2 | |
| ||
human | 9.8 | |
| ||
interior | 9.7 | |
| ||
together | 9.6 | |
| ||
boy | 9.6 | |
| ||
lifestyle | 9.4 | |
| ||
old | 9.1 | |
| ||
one | 9 | |
| ||
working | 8.8 | |
| ||
office | 8.8 | |
| ||
concert | 8.7 | |
| ||
practice | 8.7 | |
| ||
women | 8.7 | |
| ||
love | 8.7 | |
| ||
learn | 8.5 | |
| ||
finger | 8.3 | |
| ||
fun | 8.2 | |
| ||
handsome | 8 | |
| ||
job | 8 | |
| ||
song | 7.8 | |
| ||
pretty | 7.7 | |
| ||
classical | 7.6 | |
| ||
studio | 7.6 | |
| ||
professional | 7.6 | |
| ||
leisure | 7.5 | |
| ||
electronic | 7.5 | |
| ||
cheerful | 7.3 | |
| ||
children | 7.3 | |
| ||
laptop | 7.3 | |
| ||
student | 7.2 | |
| ||
family | 7.1 | |
| ||
face | 7.1 | |
| ||
life | 7 | |
| ||
modern | 7 | |
|
Google
created on 2022-03-12
Smile | 96.6 | |
| ||
Piano | 92.9 | |
| ||
Keyboard | 92.8 | |
| ||
Musical instrument | 91.9 | |
| ||
Musical keyboard | 91.2 | |
| ||
Black | 89.5 | |
| ||
Digital piano | 86.2 | |
| ||
Organist | 85.8 | |
| ||
Pianist | 84.9 | |
| ||
Style | 83.9 | |
| ||
Black-and-white | 83.2 | |
| ||
Electronic musical instrument | 83.2 | |
| ||
Musician | 83 | |
| ||
Electric piano | 81.5 | |
| ||
Electronic keyboard | 80.6 | |
| ||
Music | 80.2 | |
| ||
Entertainment | 79.9 | |
| ||
Keyboard player | 79.6 | |
| ||
Recital | 77 | |
| ||
Electronic instrument | 76.9 | |
|
Microsoft
created on 2022-03-12
person | 97.4 | |
| ||
black and white | 95.7 | |
| ||
text | 95.1 | |
| ||
piano | 94.8 | |
| ||
musical instrument | 90.6 | |
| ||
indoor | 88.3 | |
| ||
people | 63.3 | |
| ||
music | 62.8 | |
| ||
musical keyboard | 60.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-43 |
Gender | Female, 99.6% |
Happy | 98.8% |
Angry | 0.3% |
Surprised | 0.2% |
Confused | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |
Calm | 0.1% |
Sad | 0.1% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 84.9% |
Fear | 44.8% |
Happy | 34.1% |
Angry | 7.4% |
Calm | 5.3% |
Sad | 5.3% |
Confused | 2% |
Disgusted | 0.7% |
Surprised | 0.4% |

AWS Rekognition
Age | 13-21 |
Gender | Male, 98.3% |
Confused | 40.5% |
Happy | 22.2% |
Angry | 16.3% |
Calm | 11.5% |
Sad | 3.7% |
Surprised | 3.6% |
Fear | 1.3% |
Disgusted | 0.9% |

AWS Rekognition
Age | 0-3 |
Gender | Female, 99.9% |
Calm | 77.1% |
Confused | 10.2% |
Fear | 6.6% |
Happy | 2.1% |
Disgusted | 1.6% |
Surprised | 1.4% |
Sad | 0.5% |
Angry | 0.4% |

AWS Rekognition
Age | 34-42 |
Gender | Female, 99.9% |
Sad | 76.4% |
Angry | 5.5% |
Disgusted | 4.8% |
Happy | 4.6% |
Calm | 4% |
Surprised | 2.6% |
Fear | 1.6% |
Confused | 0.5% |

AWS Rekognition
Age | 43-51 |
Gender | Male, 87.3% |
Calm | 70.7% |
Surprised | 13.3% |
Confused | 5.2% |
Fear | 3.1% |
Sad | 2.3% |
Angry | 2.1% |
Happy | 1.8% |
Disgusted | 1.4% |

AWS Rekognition
Age | 48-54 |
Gender | Male, 99.7% |
Calm | 51% |
Happy | 35.8% |
Confused | 10% |
Surprised | 1.2% |
Disgusted | 0.6% |
Angry | 0.6% |
Sad | 0.6% |
Fear | 0.2% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 100% |
Happy | 86.6% |
Sad | 5.4% |
Fear | 2.2% |
Calm | 2.1% |
Disgusted | 1.7% |
Angry | 1.1% |
Confused | 0.4% |
Surprised | 0.3% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 96.6% |
Confused | 46.3% |
Calm | 34.7% |
Surprised | 6.5% |
Angry | 4.5% |
Disgusted | 3.4% |
Fear | 1.6% |
Sad | 1.5% |
Happy | 1.4% |

AWS Rekognition
Age | 1-7 |
Gender | Female, 99.7% |
Calm | 55.2% |
Sad | 21.1% |
Happy | 18% |
Fear | 2.7% |
Angry | 1.8% |
Surprised | 0.7% |
Disgusted | 0.4% |
Confused | 0.2% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 98.9% |
Happy | 80.5% |
Sad | 4.6% |
Fear | 3.8% |
Angry | 3.1% |
Calm | 2.7% |
Disgusted | 1.9% |
Surprised | 1.8% |
Confused | 1.7% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 52.3% |
Angry | 66.6% |
Fear | 19.9% |
Surprised | 5.3% |
Calm | 2.9% |
Sad | 1.6% |
Disgusted | 1.5% |
Happy | 1.4% |
Confused | 0.8% |

AWS Rekognition
Age | 45-51 |
Gender | Male, 98.7% |
Calm | 98.2% |
Surprised | 0.7% |
Angry | 0.3% |
Fear | 0.2% |
Disgusted | 0.2% |
Confused | 0.2% |
Sad | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 2-8 |
Gender | Female, 61% |
Calm | 86% |
Confused | 11.2% |
Surprised | 0.9% |
Angry | 0.7% |
Sad | 0.5% |
Fear | 0.3% |
Disgusted | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 81.4% |
Calm | 47.8% |
Sad | 21.5% |
Angry | 8.9% |
Happy | 7.7% |
Disgusted | 5.8% |
Surprised | 3.6% |
Fear | 3.3% |
Confused | 1.4% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 83.3% |
Calm | 99.9% |
Sad | 0% |
Surprised | 0% |
Angry | 0% |
Disgusted | 0% |
Fear | 0% |
Happy | 0% |
Confused | 0% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 92.7% |
Calm | 84.9% |
Happy | 5.7% |
Confused | 4.3% |
Sad | 1.5% |
Surprised | 1.2% |
Angry | 1.1% |
Disgusted | 0.7% |
Fear | 0.6% |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |

Microsoft Cognitive Services
Age | 3 |
Gender | Male |

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

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
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 likely |

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

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

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Very 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 | Very unlikely |

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

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 likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Possible |
Feature analysis
Categories
Imagga
people portraits | 93.2% | |
| ||
events parties | 3.2% | |
| ||
paintings art | 2.3% | |
|
Captions
Microsoft
created on 2022-03-12
a group of people standing in front of a store | 77% | |
| ||
a group of people around each other | 76.9% | |
| ||
a group of people in front of a store | 72.3% | |
|
Text analysis
Amazon

17244.

SE

NAUDA

and

17244.

17244.