Machine Generated Data
Tags
Amazon
created on 2023-06-15
Indoors | 100 | |
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Restaurant | 100 | |
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Cafeteria | 99.8 | |
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Cafe | 99.6 | |
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Clothing | 99.6 | |
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Footwear | 99.6 | |
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Shoe | 99.6 | |
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Shoe | 99.4 | |
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Shoe | 99.4 | |
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Person | 99.2 | |
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Accessories | 99.2 | |
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Bag | 99.2 | |
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Handbag | 99.2 | |
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Person | 99 | |
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Adult | 99 | |
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Male | 99 | |
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Man | 99 | |
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Shoe | 98.8 | |
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Handbag | 98.7 | |
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Person | 98.7 | |
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Adult | 98.7 | |
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Male | 98.7 | |
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Man | 98.7 | |
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Person | 98.6 | |
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Person | 98.6 | |
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Person | 98.6 | |
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Person | 98.5 | |
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Person | 98.4 | |
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Adult | 98.4 | |
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Male | 98.4 | |
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Man | 98.4 | |
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Person | 98.4 | |
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Person | 98.3 | |
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Shoe | 98.3 | |
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Shoe | 98.3 | |
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Person | 97.9 | |
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Person | 97.8 | |
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Person | 97.6 | |
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Hat | 97.4 | |
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Person | 97.4 | |
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Person | 97.2 | |
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Shoe | 97.2 | |
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Person | 97 | |
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Shoe | 96.8 | |
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Person | 96.7 | |
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Architecture | 96.6 | |
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Outdoors | 96.6 | |
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Shelter | 96.6 | |
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Hat | 96.3 | |
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Shoe | 95.4 | |
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Hat | 93.6 | |
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Glasses | 93.2 | |
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Neighborhood | 93 | |
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Shoe | 92.3 | |
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Person | 92.3 | |
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Glasses | 92.1 | |
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Shoe | 89.8 | |
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Hat | 89.7 | |
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Shoe | 89.5 | |
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Coat | 89.2 | |
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Person | 89.1 | |
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Shoe | 88.4 | |
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High Heel | 88.4 | |
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Person | 88 | |
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Handbag | 87.6 | |
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Person | 87.6 | |
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Shoe | 87.5 | |
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Formal Wear | 86.9 | |
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Tie | 86.9 | |
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Person | 86.4 | |
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Handbag | 85.1 | |
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Hat | 84.5 | |
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Glasses | 82.9 | |
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Shoe | 82.8 | |
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Hat | 81.5 | |
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Shoe | 80.7 | |
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Building | 80.4 | |
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Shoe | 78.5 | |
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Furniture | 77.9 | |
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Shoe | 76.7 | |
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Tie | 75.9 | |
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Person | 70.2 | |
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Suit | 68.9 | |
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Urban | 68.9 | |
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Shoe | 64.8 | |
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City | 63.1 | |
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Handbag | 60.6 | |
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Bench | 57.8 | |
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People | 57.6 | |
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Pants | 57.5 | |
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Hat | 56.8 | |
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Bus Stop | 56.1 | |
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Overcoat | 55.6 | |
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Canopy | 55.4 | |
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Food | 55.3 | |
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Path | 55.3 | |
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Sidewalk | 55.3 | |
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Diner | 55.3 | |
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Kiosk | 55.2 | |
|
Clarifai
created on 2023-10-13
people | 99.9 | |
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street | 98.9 | |
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monochrome | 98.7 | |
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group together | 98.5 | |
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group | 98.5 | |
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adult | 97.8 | |
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many | 97.5 | |
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woman | 96.5 | |
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man | 95.3 | |
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child | 88.9 | |
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wear | 88.4 | |
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vehicle | 86.9 | |
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recreation | 86.6 | |
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several | 86 | |
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music | 85.1 | |
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commerce | 84.5 | |
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city | 75.1 | |
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transportation system | 74.2 | |
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crowd | 73.9 | |
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administration | 70.8 | |
|
Imagga
created on 2023-06-15
city | 26.6 | |
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building | 22.6 | |
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architecture | 18.2 | |
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old | 18.1 | |
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people | 17.8 | |
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street | 17.5 | |
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statue | 15.3 | |
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man | 14.8 | |
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pedestrian | 12.2 | |
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urban | 12.2 | |
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monument | 12.1 | |
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person | 11.9 | |
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sculpture | 11.5 | |
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black | 11.4 | |
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travel | 11.3 | |
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men | 11.2 | |
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landmark | 10.8 | |
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tourism | 10.7 | |
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musical instrument | 9.9 | |
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adult | 9.8 | |
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shop | 9.8 | |
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world | 9.7 | |
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window | 9.4 | |
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stone | 9.3 | |
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male | 9.3 | |
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outdoor | 9.2 | |
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tourist | 9 | |
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religion | 9 | |
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walking | 8.5 | |
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famous | 8.4 | |
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art | 8.4 | |
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vintage | 8.3 | |
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historic | 8.2 | |
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road | 8.1 | |
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women | 7.9 | |
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day | 7.8 | |
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scene | 7.8 | |
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sepia | 7.8 | |
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portrait | 7.8 | |
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winter | 7.7 | |
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kin | 7.6 | |
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decoration | 7.6 | |
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barbershop | 7.6 | |
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house | 7.5 | |
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town | 7.4 | |
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transportation | 7.2 | |
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facade | 7 | |
|
Google
created on 2023-06-15
Photograph | 94.2 | |
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White | 92.2 | |
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Black | 89.9 | |
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Infrastructure | 89.3 | |
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Window | 87.4 | |
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Black-and-white | 86.5 | |
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Standing | 86.4 | |
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Neighbourhood | 84.1 | |
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Style | 83.9 | |
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Building | 82.3 | |
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Road | 78.6 | |
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Monochrome photography | 78.1 | |
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City | 77.8 | |
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Monochrome | 77.4 | |
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Urban area | 73.5 | |
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Crowd | 72.5 | |
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Motor vehicle | 71.5 | |
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Pedestrian | 71.1 | |
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Street | 69.7 | |
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House | 68.9 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 36-44 |
Gender | Male, 99.9% |
Angry | 99.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0.1% |
Calm | 0% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 43-51 |
Gender | Male, 100% |
Happy | 93.2% |
Surprised | 6.5% |
Fear | 6% |
Calm | 2.9% |
Sad | 2.6% |
Confused | 0.7% |
Angry | 0.7% |
Disgusted | 0.5% |

AWS Rekognition
Age | 38-46 |
Gender | Male, 100% |
Confused | 99.3% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Calm | 0.3% |
Angry | 0.2% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.8% |
Disgusted | 51.6% |
Angry | 38% |
Surprised | 6.6% |
Fear | 6% |
Confused | 6% |
Sad | 2.3% |
Calm | 2.3% |
Happy | 0.4% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 99.7% |
Calm | 98.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.3% |
Confused | 0.4% |
Angry | 0.2% |
Disgusted | 0.1% |
Happy | 0% |

AWS Rekognition
Age | 66-76 |
Gender | Male, 100% |
Calm | 86.5% |
Surprised | 6.6% |
Fear | 6% |
Disgusted | 4.3% |
Confused | 4.3% |
Sad | 2.5% |
Happy | 1.5% |
Angry | 1.3% |

AWS Rekognition
Age | 43-51 |
Gender | Female, 99.9% |
Happy | 37% |
Fear | 28% |
Calm | 25.6% |
Surprised | 7.3% |
Disgusted | 2.8% |
Sad | 2.8% |
Angry | 2.6% |
Confused | 1% |

AWS Rekognition
Age | 57-65 |
Gender | Male, 99.6% |
Calm | 73.7% |
Angry | 8.7% |
Disgusted | 8.2% |
Surprised | 7% |
Fear | 6.3% |
Confused | 3.5% |
Sad | 3% |
Happy | 0.8% |

AWS Rekognition
Age | 56-64 |
Gender | Female, 99.8% |
Angry | 51.1% |
Confused | 39.9% |
Surprised | 6.5% |
Fear | 6.2% |
Sad | 3.3% |
Disgusted | 2% |
Calm | 2% |
Happy | 0.6% |

AWS Rekognition
Age | 53-61 |
Gender | Male, 84.8% |
Fear | 36.7% |
Surprised | 17.9% |
Confused | 13.3% |
Calm | 12.1% |
Disgusted | 10.9% |
Sad | 8.4% |
Angry | 5.6% |
Happy | 1.2% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 93.3% |
Angry | 97% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.2% |
Calm | 1.1% |
Disgusted | 0.6% |
Happy | 0.2% |
Confused | 0.2% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 98.5% |
Calm | 98.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.4% |
Angry | 0.2% |
Confused | 0.1% |
Disgusted | 0.1% |
Happy | 0% |

AWS Rekognition
Age | 49-57 |
Gender | Male, 99.8% |
Calm | 75.6% |
Confused | 13.4% |
Surprised | 6.6% |
Fear | 6.3% |
Happy | 3.1% |
Sad | 2.8% |
Angry | 2.1% |
Disgusted | 2% |

AWS Rekognition
Age | 48-56 |
Gender | Male, 100% |
Calm | 97.2% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 1.3% |
Angry | 1.2% |
Disgusted | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 100% |
Sad | 100% |
Fear | 7.3% |
Surprised | 6.4% |
Disgusted | 4.3% |
Confused | 2.6% |
Calm | 1% |
Angry | 0.9% |
Happy | 0.3% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.8% |
Calm | 97.7% |
Surprised | 6.8% |
Fear | 5.9% |
Sad | 2.3% |
Angry | 0.3% |
Disgusted | 0.2% |
Happy | 0.2% |
Confused | 0.1% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 50.1% |
Sad | 98.1% |
Calm | 34.5% |
Surprised | 7.4% |
Fear | 6.5% |
Angry | 3.4% |
Happy | 3% |
Disgusted | 0.7% |
Confused | 0.6% |

AWS Rekognition
Age | 6-16 |
Gender | Male, 95% |
Fear | 97.2% |
Surprised | 6.3% |
Calm | 4.2% |
Sad | 2.3% |
Happy | 0.5% |
Disgusted | 0.1% |
Angry | 0.1% |
Confused | 0% |

AWS Rekognition
Age | 4-12 |
Gender | Male, 65% |
Calm | 62% |
Sad | 14% |
Surprised | 13.4% |
Fear | 7.1% |
Disgusted | 5.1% |
Angry | 3.7% |
Confused | 1.6% |
Happy | 0.8% |

Microsoft Cognitive Services
Age | 39 |
Gender | Male |

Microsoft Cognitive Services
Age | 38 |
Gender | Male |

Microsoft Cognitive Services
Age | 60 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
Gender | Female |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
Gender | Male |

Microsoft Cognitive Services
Age | 40 |
Gender | Female |

Microsoft Cognitive Services
Age | 32 |
Gender | Female |

Microsoft Cognitive Services
Age | 23 |
Gender | Male |

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon

Shoe | 99.6% | |
|

Shoe | 99.4% | |
|

Shoe | 99.4% | |
|

Shoe | 98.8% | |
|

Shoe | 98.3% | |
|

Shoe | 98.3% | |
|

Shoe | 97.2% | |
|

Shoe | 96.8% | |
|

Shoe | 95.4% | |
|

Shoe | 92.3% | |
|

Shoe | 89.8% | |
|

Shoe | 89.5% | |
|

Shoe | 88.4% | |
|

Shoe | 87.5% | |
|

Shoe | 82.8% | |
|

Shoe | 80.7% | |
|

Shoe | 78.5% | |
|

Shoe | 76.7% | |
|

Shoe | 64.8% | |
|

Person | 99.2% | |
|

Person | 99% | |
|

Person | 98.7% | |
|

Person | 98.6% | |
|

Person | 98.6% | |
|

Person | 98.6% | |
|

Person | 98.5% | |
|

Person | 98.4% | |
|

Person | 98.4% | |
|

Person | 98.3% | |
|

Person | 97.9% | |
|

Person | 97.8% | |
|

Person | 97.6% | |
|

Person | 97.4% | |
|

Person | 97.2% | |
|

Person | 97% | |
|

Person | 96.7% | |
|

Person | 92.3% | |
|

Person | 89.1% | |
|

Person | 88% | |
|

Person | 87.6% | |
|

Person | 86.4% | |
|

Person | 70.2% | |
|

Handbag | 99.2% | |
|

Handbag | 98.7% | |
|

Handbag | 87.6% | |
|

Handbag | 85.1% | |
|

Handbag | 60.6% | |
|

Adult | 99% | |
|

Adult | 98.7% | |
|

Adult | 98.4% | |
|

Male | 99% | |
|

Male | 98.7% | |
|

Male | 98.4% | |
|

Man | 99% | |
|

Man | 98.7% | |
|

Man | 98.4% | |
|

Hat | 97.4% | |
|

Hat | 96.3% | |
|

Hat | 93.6% | |
|

Hat | 89.7% | |
|

Hat | 84.5% | |
|

Hat | 81.5% | |
|

Hat | 56.8% | |
|

Glasses | 93.2% | |
|

Glasses | 92.1% | |
|

Glasses | 82.9% | |
|

High Heel | 88.4% | |
|

Tie | 86.9% | |
|

Tie | 75.9% | |
|

Building | 80.4% | |
|

Suit | 68.9% | |
|
Categories
Imagga
paintings art | 99.2% | |
|
Captions
Microsoft
created on 2023-06-15
a group of people standing in front of a building | 96.7% | |
| ||
a group of people walking in front of a building | 96.6% | |
| ||
a group of people in front of a building | 96.5% | |
|
Anthropic Claude
Created by claude-3-haiku-20240307 on 2025-01-01
The image appears to be a black and white photograph of a busy street scene from the past. It shows a group of people gathered outside a cafe called "Khoury's Cafe" which has a sign advertising "Drink Coca-Cola" and "Frosty Cup". There are several men and women sitting on benches or chairs on the sidewalk, some standing, and some walking by. The building facades and signage suggest this is an older urban setting, likely from the mid-20th century. The image captures a lively community scene with people of various ages and attire.
Created by claude-3-opus-20240229 on 2025-01-01
The black and white photograph depicts a street scene from the past, likely in the 1940s or 1950s based on the clothing styles and advertisement for Coca-Cola. A group of men and women are sitting on benches outside what appears to be a cafe or diner called "Khoury's Cafe". The storefront has signs advertising "Drink Coca-Cola" and "Frosty Cup". To the right, there is a business called "Leo's Speedy Curtain Service". The people sitting are dressed formally in suits, dresses and hats typical of the era. Some are conversing while others look toward the camera. The scene provides a glimpse into a gathering spot in a town or city neighborhood from that time period in America.
Created by claude-3-5-sonnet-20241022 on 2025-01-01
This is a black and white photograph that appears to be from the 1950s, showing a street scene outside Khoury's Cafe and a "Frosty Cup" establishment. There's a Coca-Cola sign prominently displayed, and a sign advertising "Jumbo Malts 25¢". Several people are sitting on what appears to be a public bench or seating area outside these establishments, dressed in typical 1950s attire including suits, dresses, and hats. The architecture shows buildings with awnings and brick facades characteristic of mid-century American storefronts. The image captures a slice of everyday American life during this era, with people seemingly gathering or waiting in a casual street setting. The overall composition gives a strong sense of community and the social atmosphere of the time period.
Text analysis
Amazon




























































