Machine Generated Data
Tags
Amazon
created on 2022-01-22
Person | 99.7 | |
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Human | 99.7 | |
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Clothing | 99.5 | |
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Apparel | 99.5 | |
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Person | 99.3 | |
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Face | 91 | |
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Sleeve | 78.5 | |
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Shorts | 68.6 | |
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Person | 68 | |
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Beard | 66 | |
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Portrait | 65.5 | |
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Photography | 65.5 | |
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Photo | 65.5 | |
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Cat | 63.9 | |
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Animal | 63.9 | |
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Mammal | 63.9 | |
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Pet | 63.9 | |
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Long Sleeve | 63.9 | |
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Shoe | 60.9 | |
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Footwear | 60.9 | |
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Shirt | 57.9 | |
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Home Decor | 57.6 | |
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Pants | 56.4 | |
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Hat | 56.1 | |
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Urban | 55.4 | |
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Person | 49.3 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
ashcan | 24.6 | |
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bin | 24.5 | |
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container | 23.7 | |
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man | 20.8 | |
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device | 17.8 | |
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cleaner | 16 | |
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old | 14.6 | |
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people | 14.5 | |
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male | 14.2 | |
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hand | 13.7 | |
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person | 13.5 | |
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adult | 13.1 | |
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men | 12 | |
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building | 10.9 | |
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work | 10.8 | |
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worker | 10.6 | |
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crutch | 10.5 | |
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home | 10.4 | |
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industry | 10.2 | |
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window | 10.1 | |
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staff | 10 | |
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equipment | 9.8 | |
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city | 9.1 | |
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business | 9.1 | |
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industrial | 9.1 | |
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metal | 8.8 | |
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fire extinguisher | 8.8 | |
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urban | 8.7 | |
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house | 8.3 | |
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fashion | 8.3 | |
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safety | 8.3 | |
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protection | 8.2 | |
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job | 8 | |
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interior | 8 | |
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tool | 7.9 | |
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indoors | 7.9 | |
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black | 7.8 | |
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statue | 7.8 | |
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travel | 7.7 | |
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washboard | 7.7 | |
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holding | 7.4 | |
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style | 7.4 | |
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stick | 7.2 | |
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suit | 7.2 | |
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religion | 7.2 | |
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bag | 7.1 | |
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to | 7.1 | |
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happiness | 7 | |
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Google
created on 2022-01-22
Hat | 87.5 | |
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Standing | 86.4 | |
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Black-and-white | 84.4 | |
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Style | 84 | |
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Monochrome | 77.9 | |
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Monochrome photography | 76.7 | |
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Art | 71.1 | |
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Sleeve | 70.8 | |
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Fedora | 69.4 | |
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Sun hat | 67.3 | |
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Stock photography | 66.4 | |
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Vintage clothing | 65.5 | |
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Blue-collar worker | 62.5 | |
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Waste container | 59.7 | |
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Cooking | 58.8 | |
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Pattern | 58.4 | |
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Crew | 58.2 | |
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Room | 57.8 | |
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Sunglasses | 55.8 | |
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Personal protective equipment | 55.3 | |
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Microsoft
created on 2022-01-22
text | 98.8 | |
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person | 94.4 | |
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man | 93.3 | |
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clothing | 89.1 | |
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black and white | 83.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-33 |
Gender | Male, 91.2% |
Calm | 84.6% |
Happy | 7.8% |
Surprised | 4.8% |
Sad | 0.9% |
Disgusted | 0.6% |
Angry | 0.5% |
Fear | 0.4% |
Confused | 0.4% |

AWS Rekognition
Age | 38-46 |
Gender | Male, 99.9% |
Sad | 91.1% |
Angry | 2.2% |
Confused | 1.9% |
Calm | 1.5% |
Disgusted | 1.3% |
Happy | 0.9% |
Surprised | 0.6% |
Fear | 0.5% |

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 | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 89.2% | |
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paintings art | 6.9% | |
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interior objects | 3.7% | |
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Captions
Microsoft
created on 2022-01-22
a man holding a dog | 45.6% | |
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a man standing next to a dog | 45.5% | |
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a man holding a gun | 45.4% | |
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Text analysis
Amazon

ISS

ISI
YT37A2-

ISI

YT37A2-