Machine Generated Data
Tags
Amazon
created on 2021-12-14
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.6 | |
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Person | 99.6 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Person | 98.9 | |
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Person | 98.8 | |
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Person | 98.8 | |
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Person | 98.8 | |
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Person | 98.6 | |
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Person | 98.1 | |
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Clothing | 96.4 | |
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Apparel | 96.4 | |
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Clinic | 87.5 | |
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Person | 85 | |
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Shorts | 78.8 | |
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People | 73.2 | |
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Female | 69.1 | |
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Suit | 67.2 | |
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Overcoat | 67.2 | |
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Coat | 67.2 | |
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Hospital | 57.4 | |
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Operating Theatre | 56 | |
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Woman | 55.6 | |
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Person | 52 | |
|
Clarifai
created on 2023-10-15
Imagga
created on 2021-12-14
boutique | 52.9 | |
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people | 24 | |
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building | 23.2 | |
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business | 23.1 | |
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restaurant | 22.5 | |
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window | 20.9 | |
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interior | 20.3 | |
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counter | 19.5 | |
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cafeteria | 19.3 | |
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shop | 19.3 | |
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hall | 18.3 | |
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urban | 17.5 | |
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architecture | 17.2 | |
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case | 17 | |
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light | 16.7 | |
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table | 16.4 | |
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crowd | 16.3 | |
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structure | 16.1 | |
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chair | 15.1 | |
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city | 15 | |
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office | 14.8 | |
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man | 14.8 | |
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modern | 14.7 | |
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silhouette | 14.1 | |
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indoors | 14 | |
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room | 13.3 | |
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glass | 13.2 | |
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men | 12.9 | |
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indoor | 12.8 | |
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design | 12.4 | |
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group | 12.1 | |
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women | 11.9 | |
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floor | 11.2 | |
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occupation | 11 | |
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work | 11 | |
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house | 10.9 | |
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party | 10.3 | |
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center | 10.3 | |
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shopping | 10.1 | |
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person | 9.9 | |
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transportation | 9.9 | |
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travel | 9.9 | |
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decor | 9.7 | |
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furniture | 9.5 | |
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luxury | 9.4 | |
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motion | 9.4 | |
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mercantile establishment | 9.3 | |
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life | 9.3 | |
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place | 9.3 | |
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inside | 9.2 | |
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station | 9.1 | |
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businessman | 8.8 | |
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mall | 8.8 | |
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corporate | 8.6 | |
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3d | 8.5 | |
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buy | 8.5 | |
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businesswoman | 8.2 | |
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activity | 8.1 | |
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night | 8 | |
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working | 8 | |
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adult | 7.9 | |
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male | 7.8 | |
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public | 7.8 | |
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empty | 7.7 | |
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lamp | 7.6 | |
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dining | 7.6 | |
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retail | 7.6 | |
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walking | 7.6 | |
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store | 7.6 | |
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elegance | 7.6 | |
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wood | 7.5 | |
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human | 7.5 | |
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blur | 7.4 | |
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lights | 7.4 | |
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speed | 7.3 | |
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stylish | 7.2 | |
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passenger | 7.2 | |
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Google
created on 2021-12-14
Dress | 90.5 | |
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Coat | 89.5 | |
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Black-and-white | 84.7 | |
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Style | 83.8 | |
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Suit | 78.6 | |
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Monochrome | 75.6 | |
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Monochrome photography | 75.6 | |
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Event | 73.6 | |
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Vintage clothing | 68.9 | |
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Room | 67.2 | |
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Rectangle | 65.8 | |
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Window | 65.7 | |
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History | 64.9 | |
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Chair | 64.4 | |
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Uniform | 60.5 | |
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Formal wear | 60.4 | |
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Art | 57.5 | |
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Font | 56.9 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 30-46 |
Gender | Male, 51.2% |
Calm | 79.8% |
Happy | 9.7% |
Sad | 3.7% |
Surprised | 3.1% |
Angry | 1.6% |
Fear | 1% |
Confused | 0.8% |
Disgusted | 0.2% |

AWS Rekognition
Age | 23-35 |
Gender | Female, 84.7% |
Calm | 87% |
Happy | 8.1% |
Surprised | 2.7% |
Sad | 0.9% |
Fear | 0.5% |
Angry | 0.4% |
Confused | 0.3% |
Disgusted | 0.1% |

AWS Rekognition
Age | 32-48 |
Gender | Female, 76% |
Calm | 60.4% |
Happy | 30.8% |
Sad | 3.6% |
Surprised | 3.3% |
Confused | 1.3% |
Disgusted | 0.3% |
Fear | 0.2% |
Angry | 0.2% |

AWS Rekognition
Age | 26-40 |
Gender | Male, 76.1% |
Calm | 52.4% |
Sad | 41.1% |
Happy | 3.3% |
Confused | 1.4% |
Surprised | 0.8% |
Angry | 0.6% |
Fear | 0.3% |
Disgusted | 0.2% |

AWS Rekognition
Age | 19-31 |
Gender | Female, 85.6% |
Happy | 73.4% |
Calm | 23.1% |
Sad | 2.9% |
Confused | 0.2% |
Angry | 0.2% |
Surprised | 0.1% |
Fear | 0.1% |
Disgusted | 0% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 75% |
Happy | 66.1% |
Calm | 15.9% |
Sad | 10.4% |
Confused | 3.5% |
Fear | 1.5% |
Angry | 1.2% |
Surprised | 1% |
Disgusted | 0.4% |

AWS Rekognition
Age | 23-37 |
Gender | Female, 52.2% |
Happy | 60.3% |
Sad | 27.6% |
Calm | 7.5% |
Confused | 1.2% |
Angry | 1.1% |
Fear | 1.1% |
Surprised | 1% |
Disgusted | 0.3% |

AWS Rekognition
Age | 27-43 |
Gender | Female, 58.1% |
Sad | 48.5% |
Happy | 34.8% |
Calm | 10% |
Angry | 5.5% |
Fear | 0.6% |
Confused | 0.3% |
Disgusted | 0.2% |
Surprised | 0.2% |

AWS Rekognition
Age | 23-37 |
Gender | Female, 80% |
Happy | 84.5% |
Sad | 7.7% |
Calm | 5.9% |
Fear | 0.6% |
Surprised | 0.5% |
Angry | 0.5% |
Confused | 0.2% |
Disgusted | 0.1% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 87.7% |
Happy | 69.8% |
Sad | 16% |
Calm | 9.1% |
Confused | 1.6% |
Angry | 1.6% |
Surprised | 1.3% |
Fear | 0.4% |
Disgusted | 0.3% |

AWS Rekognition
Age | 26-40 |
Gender | Male, 86.9% |
Calm | 60.4% |
Happy | 31.1% |
Sad | 3.7% |
Angry | 3.2% |
Confused | 0.7% |
Disgusted | 0.4% |
Surprised | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 48-66 |
Gender | Male, 56.6% |
Calm | 72.2% |
Sad | 17.4% |
Happy | 8.6% |
Confused | 1.1% |
Angry | 0.3% |
Surprised | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 24-38 |
Gender | Female, 65.5% |
Calm | 73.1% |
Happy | 20.6% |
Sad | 3.3% |
Surprised | 1.6% |
Confused | 0.7% |
Angry | 0.4% |
Disgusted | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 97% |
Happy | 67.7% |
Calm | 24.6% |
Surprised | 3% |
Sad | 2.9% |
Fear | 0.7% |
Confused | 0.6% |
Angry | 0.3% |
Disgusted | 0.2% |

AWS Rekognition
Age | 23-35 |
Gender | Female, 79.4% |
Happy | 97.7% |
Sad | 1.4% |
Calm | 0.7% |
Fear | 0.1% |
Surprised | 0% |
Confused | 0% |
Angry | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 36-54 |
Gender | Female, 53.2% |
Calm | 58.2% |
Happy | 26.5% |
Sad | 11.1% |
Angry | 1.8% |
Confused | 1.7% |
Surprised | 0.3% |
Disgusted | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 42-60 |
Gender | Male, 67.6% |
Sad | 44.1% |
Calm | 33.4% |
Happy | 21% |
Confused | 0.5% |
Angry | 0.4% |
Fear | 0.2% |
Surprised | 0.2% |
Disgusted | 0.1% |

AWS Rekognition
Age | 23-37 |
Gender | Female, 87.5% |
Happy | 58.2% |
Calm | 38% |
Sad | 3% |
Surprised | 0.2% |
Fear | 0.2% |
Confused | 0.1% |
Angry | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 50.7% |
Calm | 71.9% |
Sad | 13.5% |
Happy | 12.5% |
Angry | 1% |
Fear | 0.3% |
Confused | 0.3% |
Surprised | 0.3% |
Disgusted | 0.1% |

AWS Rekognition
Age | 0-4 |
Gender | Female, 93.5% |
Sad | 71.4% |
Calm | 17.4% |
Happy | 6.6% |
Confused | 1.5% |
Fear | 1.4% |
Surprised | 0.7% |
Angry | 0.7% |
Disgusted | 0.3% |

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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Possible |

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 | Possible |

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 | Unlikely |
Blurred | Very unlikely |

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

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 | 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 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 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 | Possible |

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 | 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 | 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 | Likely |
Feature analysis
Categories
Imagga
streetview architecture | 64.1% | |
| ||
interior objects | 19.6% | |
| ||
text visuals | 14.9% | |
|
Captions
Microsoft
created on 2021-12-14
a group of people standing in a room | 97% | |
| ||
a group of people posing for a photo | 92.3% | |
| ||
a group of people standing in a room posing for a photo | 92.2% | |
|
Text analysis
Amazon

OUR

WAR

GOAL

OUR GOAL FOR JULY

FOR

JULY

THE

10,000.

HIT

TOP

us

KEEP us HIT THE TOP

WAR STAMPS BONDS

STAMPS BONDS

KEEP

10,000.
OUR COAL FOR JULY
WAR STAMPS BONDS *

10,000.

OUR

COAL

FOR

JULY

WAR

STAMPS

BONDS

*