Machine Generated Data
Tags
Amazon
created on 2019-06-04
Human | 99.3 | |
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Person | 99.3 | |
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Person | 99 | |
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Person | 98.4 | |
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Person | 97.9 | |
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Person | 96.3 | |
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Person | 95.2 | |
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Person | 86.3 | |
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Person | 86.2 | |
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Person | 84.9 | |
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Crowd | 78.1 | |
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Apparel | 75.7 | |
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Clothing | 75.7 | |
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Building | 73 | |
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Fireman | 64.8 | |
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Person | 64.3 | |
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Nature | 61.9 | |
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People | 61.5 | |
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Officer | 57.9 | |
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Military | 57.9 | |
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Military Uniform | 57.9 | |
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Street | 57 | |
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City | 57 | |
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Town | 57 | |
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Road | 57 | |
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Urban | 57 | |
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Symbol | 56.2 | |
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Trademark | 56.2 | |
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Logo | 56.2 | |
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Person | 55.2 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
earthenware | 28.8 | |
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old | 23.7 | |
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sculpture | 23.1 | |
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ceramic ware | 21.7 | |
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statue | 21.3 | |
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ancient | 20.7 | |
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culture | 19.6 | |
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travel | 19 | |
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art | 18.3 | |
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religion | 17.9 | |
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architecture | 17.4 | |
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tourism | 17.3 | |
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history | 16.1 | |
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stone | 15.2 | |
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utensil | 14.1 | |
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traditional | 14.1 | |
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monument | 13.1 | |
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temple | 12.6 | |
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hut | 12.2 | |
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people | 11.7 | |
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shelter | 11.2 | |
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building | 11.1 | |
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structure | 10.9 | |
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city | 10.8 | |
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clothing | 10.7 | |
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scene | 10.4 | |
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ruler | 10.2 | |
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industrial | 10 | |
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landmark | 9.9 | |
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human | 9.7 | |
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black | 9.6 | |
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man | 9.4 | |
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wall | 9.4 | |
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decoration | 9.1 | |
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antique | 8.9 | |
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military uniform | 8.9 | |
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earth | 8.7 | |
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god | 8.6 | |
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east | 8.4 | |
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column | 8.1 | |
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transportation | 8.1 | |
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person | 8 | |
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water | 8 | |
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face | 7.8 | |
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portrait | 7.8 | |
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religious | 7.5 | |
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famous | 7.4 | |
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vintage | 7.4 | |
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detail | 7.2 | |
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sexy | 7.2 | |
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dirty | 7.2 | |
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body | 7.2 | |
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Google
created on 2019-06-04
Photograph | 97.2 | |
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Snapshot | 86.8 | |
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Standing | 84.2 | |
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Gentleman | 70.1 | |
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Photography | 67.8 | |
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Vintage clothing | 66.6 | |
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Stock photography | 59.4 | |
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Monochrome | 54.4 | |
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Family | 51 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.9% |
Calm | 54.3% |
Surprised | 45.2% |
Disgusted | 45% |
Confused | 45.1% |
Sad | 45.2% |
Happy | 45% |
Angry | 45.1% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 53.3% |
Calm | 45% |
Disgusted | 45.1% |
Angry | 45.1% |
Sad | 54% |
Happy | 45.7% |
Confused | 45.1% |
Surprised | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Calm | 49.5% |
Happy | 49.6% |
Sad | 49.5% |
Surprised | 49.5% |
Disgusted | 49.7% |
Angry | 50.2% |
Confused | 49.5% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 50.5% |
Angry | 49.8% |
Happy | 49.6% |
Disgusted | 49.7% |
Surprised | 49.6% |
Calm | 49.6% |
Confused | 49.5% |
Sad | 49.7% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 52.6% |
Angry | 45.3% |
Disgusted | 45.1% |
Confused | 45.1% |
Calm | 53.2% |
Happy | 45.3% |
Surprised | 45.2% |
Sad | 45.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Angry | 49.5% |
Disgusted | 49.6% |
Happy | 49.6% |
Sad | 50.3% |

Microsoft Cognitive Services
Age | 4 |
Gender | Female |
Feature analysis
Categories
Imagga
people portraits | 59.4% | |
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pets animals | 30.7% | |
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interior objects | 8.6% | |
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Captions
Microsoft
created on 2019-06-04
a group of people standing in front of a building | 93.5% | |
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a group of people standing next to a building | 93.1% | |
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a group of people standing outside of a building | 93% | |
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