Machine Generated Data
Tags
Amazon
created on 2023-10-06
Reading | 100 | |
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Photography | 100 | |
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Sitting | 99.5 | |
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Person | 99.2 | |
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Adult | 99.2 | |
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Male | 99.2 | |
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Man | 99.2 | |
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Person | 99.1 | |
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Male | 99.1 | |
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Boy | 99.1 | |
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Child | 99.1 | |
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Clothing | 93 | |
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Footwear | 93 | |
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Shoe | 93 | |
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Shoe | 90.4 | |
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Shoe | 89.6 | |
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Coat | 85.1 | |
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Photographer | 83 | |
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Face | 81.1 | |
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Head | 81.1 | |
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Portrait | 81.1 | |
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City | 61.5 | |
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Shoe | 59.3 | |
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Hat | 59 | |
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Bus Stop | 57.1 | |
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Outdoors | 57.1 | |
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Electronics | 57 | |
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Phone | 57 | |
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Bench | 56.7 | |
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Furniture | 56.7 | |
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Road | 56.2 | |
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Street | 56.2 | |
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Urban | 56.2 | |
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Hairdresser | 56 | |
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Formal Wear | 55.8 | |
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Suit | 55.8 | |
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Transportation | 55.2 | |
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Vehicle | 55.2 | |
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Pants | 55.1 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-06
wall | 19.7 | |
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child | 18.9 | |
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man | 18.8 | |
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building | 18.7 | |
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city | 18.3 | |
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old | 18.1 | |
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people | 17.3 | |
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adult | 16.2 | |
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person | 16.1 | |
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street | 15.6 | |
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world | 14.1 | |
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door | 14 | |
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sill | 12.9 | |
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male | 12.3 | |
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tricycle | 11.8 | |
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architecture | 11.7 | |
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portrait | 11.6 | |
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support | 11.4 | |
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urban | 11.4 | |
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lifestyle | 10.8 | |
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wheeled vehicle | 10.6 | |
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black | 10.2 | |
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structural member | 10 | |
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outdoor | 9.9 | |
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boy | 9.6 | |
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school | 9.5 | |
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brick | 9.5 | |
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youth | 9.4 | |
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human | 9 | |
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couple | 8.7 | |
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prison | 8.6 | |
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travel | 8.4 | |
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house | 8.4 | |
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vehicle | 8.2 | |
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outdoors | 8.2 | |
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teenager | 8.2 | |
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stairs | 7.9 | |
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parent | 7.9 | |
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structure | 7.9 | |
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ancient | 7.8 | |
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device | 7.7 | |
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statue | 7.6 | |
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stone | 7.6 | |
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mother | 7.6 | |
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one | 7.5 | |
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teen | 7.3 | |
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shop | 7.3 | |
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hair | 7.1 | |
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face | 7.1 | |
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love | 7.1 | |
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newspaper | 7.1 | |
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day | 7.1 | |
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Google
created on 2018-05-11
photograph | 95.9 | |
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black and white | 90.8 | |
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sitting | 87.8 | |
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snapshot | 81.8 | |
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standing | 81.7 | |
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monochrome photography | 80.2 | |
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photography | 79.3 | |
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human behavior | 69.5 | |
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monochrome | 69 | |
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vintage clothing | 66.5 | |
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stock photography | 50.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 49-57 |
Gender | Male, 100% |
Sad | 100% |
Surprised | 6.3% |
Fear | 5.9% |
Confused | 1.3% |
Calm | 0.9% |
Disgusted | 0.1% |
Angry | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 48-56 |
Gender | Male, 100% |
Sad | 100% |
Surprised | 6.3% |
Fear | 6% |
Confused | 1.4% |
Calm | 0.4% |
Disgusted | 0.3% |
Angry | 0.2% |
Happy | 0.1% |

Microsoft Cognitive Services
Age | 63 |
Gender | Male |
Feature analysis
Categories
Imagga
interior objects | 94% | |
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pets animals | 4.3% | |
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paintings art | 1.1% | |
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Captions
Microsoft
created on 2018-05-11
a person sitting on a bench in front of a building | 85% | |
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a person sitting on a bench in front of a door | 84.9% | |
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a person sitting on a bench | 84.8% | |
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Text analysis
Amazon

COIL