Machine Generated Data
Tags
Amazon
created on 2022-01-23
Person | 99.9 | |
| ||
Human | 99.9 | |
| ||
Person | 99.6 | |
| ||
Person | 99.5 | |
| ||
Piano | 99.3 | |
| ||
Musical Instrument | 99.3 | |
| ||
Leisure Activities | 99.3 | |
| ||
Person | 98.7 | |
| ||
Clothing | 98.4 | |
| ||
Apparel | 98.4 | |
| ||
Helmet | 98.2 | |
| ||
Person | 98.1 | |
| ||
Furniture | 93.9 | |
| ||
Hardhat | 91.6 | |
| ||
Table | 90.3 | |
| ||
Person | 86.6 | |
| ||
Person | 84.6 | |
| ||
Workshop | 84.2 | |
| ||
Desk | 80.2 | |
| ||
Worker | 72.1 | |
| ||
Wood | 58.3 | |
| ||
LCD Screen | 58 | |
| ||
Electronics | 58 | |
| ||
Monitor | 58 | |
| ||
Display | 58 | |
| ||
Screen | 58 | |
| ||
Person | 44.3 | |
|
Clarifai
created on 2023-10-26
people | 99.9 | |
| ||
adult | 97.9 | |
| ||
man | 97.4 | |
| ||
furniture | 95.9 | |
| ||
group | 95.4 | |
| ||
group together | 94.7 | |
| ||
portrait | 94.1 | |
| ||
three | 93.2 | |
| ||
boy | 92.8 | |
| ||
two | 92.1 | |
| ||
room | 92.1 | |
| ||
desk | 91.8 | |
| ||
concentration | 91.2 | |
| ||
woman | 87.7 | |
| ||
indoors | 87 | |
| ||
sit | 86.4 | |
| ||
administration | 86.4 | |
| ||
monochrome | 86.2 | |
| ||
child | 85.7 | |
| ||
war | 84.7 | |
|
Imagga
created on 2022-01-23
Google
created on 2022-01-23
Table | 90 | |
| ||
Hat | 89.7 | |
| ||
Style | 83.9 | |
| ||
Desk | 83 | |
| ||
Black-and-white | 82.5 | |
| ||
Writing desk | 78.6 | |
| ||
Suit | 78.1 | |
| ||
Art | 77.2 | |
| ||
Chair | 73.1 | |
| ||
Monochrome photography | 71.9 | |
| ||
Monochrome | 71.5 | |
| ||
Vintage clothing | 69.6 | |
| ||
Room | 67.5 | |
| ||
Event | 67.4 | |
| ||
Conversation | 64.5 | |
| ||
Stock photography | 63.2 | |
| ||
History | 62 | |
| ||
Office equipment | 57.4 | |
| ||
Eyewear | 56.9 | |
| ||
Visual arts | 56.4 | |
|
Microsoft
created on 2022-01-23
person | 99.9 | |
| ||
wall | 97.4 | |
| ||
indoor | 97.2 | |
| ||
clothing | 86.3 | |
| ||
man | 82.2 | |
| ||
black and white | 82.1 | |
| ||
human face | 77.2 | |
| ||
text | 76.6 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 33-41 |
Gender | Male, 100% |
Calm | 98.8% |
Sad | 0.4% |
Angry | 0.4% |
Confused | 0.3% |
Surprised | 0.1% |
Disgusted | 0.1% |
Happy | 0% |
Fear | 0% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.8% |
Calm | 99.6% |
Sad | 0.2% |
Surprised | 0.1% |
Angry | 0% |
Confused | 0% |
Disgusted | 0% |
Fear | 0% |
Happy | 0% |

AWS Rekognition
Age | 41-49 |
Gender | Male, 100% |
Calm | 98.6% |
Confused | 0.7% |
Angry | 0.4% |
Sad | 0.2% |
Disgusted | 0% |
Surprised | 0% |
Fear | 0% |
Happy | 0% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 91.6% |
Angry | 40.7% |
Sad | 33.4% |
Surprised | 8.3% |
Calm | 5.6% |
Confused | 5.4% |
Disgusted | 3.2% |
Fear | 2.3% |
Happy | 1.2% |

Microsoft Cognitive Services
Age | 51 |
Gender | Male |

Microsoft Cognitive Services
Age | 46 |
Gender | Male |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
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 unlikely |
Feature analysis
Categories
Imagga
paintings art | 75% | |
| ||
interior objects | 15.1% | |
| ||
people portraits | 4.7% | |
| ||
food drinks | 4.1% | |
|
Captions
Microsoft
created on 2022-01-23
a group of people in a room | 95.9% | |
| ||
a group of people sitting at a table | 84.7% | |
| ||
a group of people sitting around a table | 83.8% | |
|
Text analysis

BIN

BIN