Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clothing | 99.9 | |
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Hat | 99.9 | |
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Pants | 99.7 | |
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Coat | 99.7 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Adult | 99.4 | |
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Male | 99.4 | |
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Man | 99.4 | |
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Person | 99.3 | |
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Adult | 99.3 | |
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Male | 99.3 | |
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Man | 99.3 | |
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Indoors | 99 | |
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Restaurant | 99 | |
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Person | 98.2 | |
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Jacket | 93.7 | |
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Cap | 91.5 | |
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Shop | 89.1 | |
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Jeans | 79.1 | |
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Face | 74.9 | |
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Head | 74.9 | |
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Cafeteria | 71.3 | |
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Brick | 69.7 | |
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Cafe | 57.8 | |
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Urban | 56.9 | |
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Accessories | 56.7 | |
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Bag | 56.7 | |
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Handbag | 56.7 | |
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City | 56.3 | |
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Canopy | 56 | |
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Outdoors | 55.7 | |
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Sun Hat | 55.4 | |
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Baseball Cap | 55.3 | |
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Walking | 55.2 | |
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Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
shop | 97.8 | |
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barbershop | 82.8 | |
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mercantile establishment | 74.8 | |
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place of business | 49.7 | |
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building | 26.2 | |
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establishment | 24.6 | |
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city | 23.3 | |
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architecture | 18.7 | |
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bakery | 18.5 | |
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old | 18.1 | |
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street | 15.6 | |
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house | 15 | |
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sign | 14.3 | |
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tobacco shop | 14.1 | |
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urban | 13.1 | |
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travel | 12.7 | |
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door | 12.5 | |
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people | 12.3 | |
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town | 12.1 | |
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transportation | 11.7 | |
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antique | 11.2 | |
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salon | 11.2 | |
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historic | 11 | |
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vintage | 10.7 | |
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window | 10.5 | |
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ancient | 10.4 | |
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home | 10.4 | |
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tourism | 9.9 | |
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new | 9.7 | |
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man | 9.4 | |
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exterior | 9.2 | |
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transport | 9.1 | |
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road | 9 | |
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history | 8.9 | |
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entrance | 8.7 | |
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palace | 8.7 | |
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structure | 8.6 | |
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wall | 8.6 | |
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historical | 8.5 | |
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stone | 8.4 | |
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family | 8 | |
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restaurant | 7.9 | |
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male | 7.8 | |
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statue | 7.6 | |
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brick | 7.5 | |
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light | 7.3 | |
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aged | 7.2 | |
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color | 7.2 | |
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Google
created on 2018-05-10
photograph | 95.5 | |
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black and white | 86.5 | |
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snapshot | 81.8 | |
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standing | 75.1 | |
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monochrome photography | 70.7 | |
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street | 65.4 | |
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winter | 65 | |
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monochrome | 62.7 | |
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history | 61.4 | |
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house | 59.7 | |
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window | 58.1 | |
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vintage clothing | 55.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 52-60 |
Gender | Male, 99.6% |
Calm | 87.1% |
Surprised | 9.8% |
Fear | 6% |
Sad | 2.7% |
Confused | 2.7% |
Angry | 1.3% |
Disgusted | 0.8% |
Happy | 0.4% |

AWS Rekognition
Age | 7-17 |
Gender | Male, 99.9% |
Angry | 95% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 2.7% |
Calm | 2.1% |
Confused | 0.8% |
Disgusted | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 56-64 |
Gender | Male, 88.3% |
Calm | 97.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.6% |
Angry | 0.7% |
Confused | 0.2% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 84.2% |
Sad | 56.3% |
Fear | 32.8% |
Calm | 22.5% |
Surprised | 9.3% |
Disgusted | 3.8% |
Confused | 3.7% |
Angry | 3.5% |
Happy | 2.3% |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 15 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 81.9% | |
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paintings art | 16.4% | |
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Captions
Microsoft
created on 2018-05-10
a group of people standing in front of a store | 95.8% | |
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a group of people sitting in front of a store | 93% | |
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a group of people sitting and standing in front of a store | 92.9% | |
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Text analysis
Amazon

STORE

UNDERSELLING STORE

UNDERSELLING