Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clothing | 100 | |
| ||
Coat | 100 | |
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Formal Wear | 99.8 | |
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Sun Hat | 99.7 | |
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Adult | 99.2 | |
| ||
Male | 99.2 | |
| ||
Man | 99.2 | |
| ||
Person | 99.2 | |
| ||
Adult | 99.1 | |
| ||
Male | 99.1 | |
| ||
Man | 99.1 | |
| ||
Person | 99.1 | |
| ||
Adult | 98.7 | |
| ||
Male | 98.7 | |
| ||
Man | 98.7 | |
| ||
Person | 98.7 | |
| ||
Adult | 98.6 | |
| ||
Male | 98.6 | |
| ||
Man | 98.6 | |
| ||
Person | 98.6 | |
| ||
Jacket | 98.5 | |
| ||
Adult | 98.5 | |
| ||
Male | 98.5 | |
| ||
Man | 98.5 | |
| ||
Person | 98.5 | |
| ||
Adult | 97.6 | |
| ||
Male | 97.6 | |
| ||
Man | 97.6 | |
| ||
Person | 97.6 | |
| ||
Adult | 97.4 | |
| ||
Male | 97.4 | |
| ||
Man | 97.4 | |
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Person | 97.4 | |
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Face | 96.9 | |
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Head | 96.9 | |
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Adult | 96.5 | |
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Male | 96.5 | |
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Man | 96.5 | |
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Person | 96.5 | |
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Hat | 96.1 | |
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People | 95.5 | |
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Photography | 94.7 | |
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Portrait | 94.7 | |
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Suit | 85.5 | |
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Cap | 84.2 | |
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Hat | 82.7 | |
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Hat | 80.9 | |
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Accessories | 72.4 | |
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Tie | 72.4 | |
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Shirt | 67 | |
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Hat | 63 | |
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Jeans | 63 | |
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Pants | 63 | |
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Person | 62.7 | |
| ||
Suit | 62.3 | |
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Overcoat | 57.5 | |
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Hat | 57.1 | |
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Brick | 56.5 | |
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Blazer | 56.5 | |
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City | 55.9 | |
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Crowd | 55.3 | |
|
Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
Google
created on 2018-05-10
photograph | 96 | |
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black and white | 91.1 | |
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monochrome photography | 84 | |
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snapshot | 81.8 | |
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photography | 78.9 | |
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gentleman | 77.1 | |
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standing | 75.6 | |
| ||
monochrome | 72.9 | |
| ||
vintage clothing | 71.1 | |
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headgear | 68.5 | |
| ||
stock photography | 53.2 | |
| ||
history | 50.6 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
Imagga

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.9% |
Confused | 82.4% |
Angry | 16.5% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Calm | 0.9% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 54-64 |
Gender | Male, 99.9% |
Calm | 68.4% |
Angry | 15.5% |
Surprised | 7.3% |
Fear | 6.3% |
Confused | 4.3% |
Happy | 3.7% |
Sad | 3.1% |
Disgusted | 2.6% |

AWS Rekognition
Age | 6-14 |
Gender | Male, 100% |
Sad | 100% |
Angry | 6.6% |
Surprised | 6.4% |
Fear | 6.3% |
Calm | 4.8% |
Confused | 1.6% |
Happy | 0.4% |
Disgusted | 0.3% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.5% |
Calm | 99.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Angry | 0.1% |
Happy | 0.1% |
Disgusted | 0.1% |
Confused | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.9% |
Surprised | 97.1% |
Calm | 26.6% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0.4% |
Angry | 0.3% |
Disgusted | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.8% |
Angry | 57.8% |
Confused | 22.7% |
Calm | 10% |
Surprised | 7.8% |
Fear | 6.3% |
Sad | 3.9% |
Disgusted | 0.7% |
Happy | 0.4% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.8% |
Calm | 96.4% |
Surprised | 6.5% |
Fear | 5.9% |
Sad | 2.9% |
Angry | 0.3% |
Happy | 0.3% |
Confused | 0.2% |
Disgusted | 0.1% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 62.3% |
Calm | 92.6% |
Surprised | 6.5% |
Fear | 5.9% |
Sad | 3.1% |
Happy | 2.7% |
Confused | 0.8% |
Disgusted | 0.3% |
Angry | 0.3% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 70.9% |
Calm | 82.8% |
Surprised | 7.4% |
Fear | 7.2% |
Sad | 3.5% |
Confused | 2.8% |
Disgusted | 2.1% |
Happy | 1.7% |
Angry | 1.7% |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Microsoft Cognitive Services
Age | 14 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
Gender | Male |

Microsoft Cognitive Services
Age | 36 |
Gender | Male |

Microsoft Cognitive Services
Age | 22 |
Gender | Male |

Microsoft Cognitive Services
Age | 26 |
Gender | Male |

Microsoft Cognitive Services
Age | 34 |
Gender | Male |

Microsoft Cognitive Services
Age | 9 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | 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 |

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 likely |
Blurred | Very unlikely |

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 | Very likely |
Blurred | Very unlikely |

Imagga
Traits | no traits identified |

Imagga
Traits | no traits identified |

Imagga
Traits | no traits identified |

Imagga
Traits | no traits identified |

Imagga
Traits | no traits identified |

Imagga
Traits | no traits identified |

Imagga
Traits | no traits identified |

Imagga
Traits | no traits identified |

Imagga
Traits | no traits identified |
Feature analysis
Amazon

Adult | 99.2% | |
|

Adult | 99.1% | |
|

Adult | 98.7% | |
|

Adult | 98.6% | |
|

Adult | 98.5% | |
|

Adult | 97.6% | |
|

Adult | 97.4% | |
|

Adult | 96.5% | |
|

Male | 99.2% | |
|

Male | 99.1% | |
|

Male | 98.7% | |
|

Male | 98.6% | |
|

Male | 98.5% | |
|

Male | 97.6% | |
|

Male | 97.4% | |
|

Male | 96.5% | |
|

Man | 99.2% | |
|

Man | 99.1% | |
|

Man | 98.7% | |
|

Man | 98.6% | |
|

Man | 98.5% | |
|

Man | 97.6% | |
|

Man | 97.4% | |
|

Man | 96.5% | |
|

Person | 99.2% | |
|

Person | 99.1% | |
|

Person | 98.7% | |
|

Person | 98.6% | |
|

Person | 98.5% | |
|

Person | 97.6% | |
|

Person | 97.4% | |
|

Person | 96.5% | |
|

Person | 62.7% | |
|

Hat | 96.1% | |
|

Hat | 82.7% | |
|

Hat | 80.9% | |
|

Hat | 63% | |
|

Hat | 57.1% | |
|

Suit | 85.5% | |
|

Suit | 62.3% | |
|

Tie | 72.4% | |
|

Jeans | 63% | |
|
Categories
Imagga
people portraits | 72.9% | |
| ||
paintings art | 26% | |
|
Captions
Microsoft
created on 2018-05-10
a group of people posing for a photo | 97.2% | |
| ||
a group of people posing for the camera | 97.1% | |
| ||
an old photo of a group of people posing for the camera | 96.1% | |
|
Google Gemini
Created by gemini-2.0-flash-lite on 2025-04-28
Here's a description of the image:
Overall Impression: The image is a black and white photograph, likely from the early to mid-20th century, given the clothing and style. It shows a group of men, possibly a crowd of people, standing in front of a brick building. The focus of the photograph appears to be on their faces, and their expressions range from serious to stoic.
Key Features and Details:
- Men: The image features a diverse group of men, wearing a mix of suits, hats (including fedoras and a newsboy cap), and casual clothing. Their posture and expressions suggest a sense of caution or formality.
- Brick Building: The backdrop is a weathered brick building. This suggests an urban or industrial setting. There is a building with what appears to be "U-Tote-Em" text on the left side, and on the left there is a sign.
- Atmosphere: The photograph has a somber or serious tone. The lighting is even, casting the faces in a clear light.
Possible Context:
The image could depict a variety of situations, such as:
- A gathering of workers or members of a community during the Great Depression era.
- A protest, rally, or other type of public event.
- A group of individuals in a moment of public activity.
If you have more context, I could offer a more specific description.
Created by gemini-2.0-flash on 2025-04-28
Here is a description of the image:
This is a black and white medium shot of a crowd of men and boys. Most appear to be white, but a couple are Black. Most of the people are dressed in simple, working class clothes. Many are wearing hats. Some have more formal dress, such as a suit jacket or a tie. Some of the faces are serious, and some are looking directly at the camera. The crowd is gathered in front of a brick building. There are signs for businesses on the sides of the buildings.
Text analysis
Amazon
