Machine Generated Data
Tags
Amazon
created on 2023-10-07
Adult | 98.3 | |
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Male | 98.3 | |
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Man | 98.3 | |
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Person | 98.3 | |
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Adult | 98.2 | |
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Male | 98.2 | |
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Man | 98.2 | |
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Person | 98.2 | |
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Adult | 98.1 | |
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Male | 98.1 | |
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Man | 98.1 | |
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Person | 98.1 | |
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Person | 94.9 | |
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Clothing | 92.2 | |
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Formal Wear | 92.2 | |
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Suit | 92.2 | |
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Coat | 90.4 | |
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Person | 86.6 | |
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Outdoors | 86.5 | |
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Terminal | 84.8 | |
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Face | 79.5 | |
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Head | 79.5 | |
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Person | 68.2 | |
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Nature | 65.2 | |
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Transportation | 63.4 | |
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Vehicle | 63.4 | |
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Person | 61.9 | |
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Railway | 57.7 | |
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Electrical Device | 56.6 | |
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Architecture | 56.3 | |
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Building | 56.3 | |
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Monastery | 56.3 | |
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Utility Pole | 56.2 | |
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Train | 56.1 | |
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Train Station | 56.1 | |
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Shelter | 55.9 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-07
structure | 43.5 | |
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wheeled vehicle | 38 | |
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mobile home | 30.3 | |
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vehicle | 26.1 | |
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housing | 25.8 | |
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trailer | 25.4 | |
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house | 25.1 | |
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sky | 24.2 | |
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grass | 22.2 | |
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building | 21.5 | |
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billboard | 20.5 | |
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architecture | 20.3 | |
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old | 20.2 | |
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landscape | 20.1 | |
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car | 18.7 | |
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field | 17.6 | |
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conveyance | 17.1 | |
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signboard | 15.9 | |
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freight car | 15.5 | |
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city | 14.1 | |
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home | 13.6 | |
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rural | 13.2 | |
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tree | 13.1 | |
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travel | 12.7 | |
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scenic | 11.4 | |
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outdoor | 10.7 | |
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trees | 10.7 | |
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urban | 10.5 | |
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outdoors | 10.5 | |
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street | 10.1 | |
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transport | 10 | |
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wood | 10 | |
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farm | 9.8 | |
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river | 9.8 | |
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dairy | 9.7 | |
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roof | 9.5 | |
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scene | 9.5 | |
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wall | 9.4 | |
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water | 9.3 | |
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clouds | 9.3 | |
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countryside | 9.1 | |
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tourism | 9.1 | |
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summer | 9 | |
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transportation | 9 | |
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country | 8.8 | |
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houses | 8.7 | |
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winter | 8.5 | |
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fence | 8.5 | |
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stone | 8.4 | |
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town | 8.4 | |
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mountains | 8.3 | |
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exterior | 8.3 | |
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container | 8.2 | |
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barn | 8.2 | |
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scenery | 8.1 | |
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sunset | 8.1 | |
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history | 8.1 | |
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sea | 7.8 | |
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construction | 7.7 | |
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buildings | 7.6 | |
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bridge | 7.5 | |
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weather | 7.5 | |
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environment | 7.4 | |
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shopping cart | 7.4 | |
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industrial | 7.3 | |
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sun | 7.2 | |
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wooden | 7 | |
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agriculture | 7 | |
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Google
created on 2018-05-11
photograph | 95 | |
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transport | 94.4 | |
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vehicle | 83.9 | |
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black and white | 80.9 | |
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history | 73.8 | |
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train | 73.1 | |
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railroad car | 71 | |
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car | 67.5 | |
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rolling stock | 58 | |
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locomotive | 55.7 | |
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monochrome | 54.4 | |
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monochrome photography | 53.7 | |
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tree | 52 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 27-37 |
Gender | Male, 99.8% |
Calm | 92.7% |
Surprised | 6.4% |
Fear | 6% |
Sad | 3.1% |
Angry | 2.7% |
Disgusted | 0.8% |
Confused | 0.5% |
Happy | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.9% |
Calm | 67.9% |
Sad | 37.7% |
Surprised | 7% |
Fear | 6% |
Angry | 3.3% |
Confused | 3% |
Happy | 0.4% |
Disgusted | 0.4% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 53.6% |
Sad | 100% |
Surprised | 6.3% |
Fear | 5.9% |
Calm | 4.4% |
Confused | 2.3% |
Happy | 0.5% |
Angry | 0.3% |
Disgusted | 0.2% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 81.4% |
Calm | 91.9% |
Surprised | 6.4% |
Fear | 6% |
Sad | 3.5% |
Confused | 2% |
Happy | 0.9% |
Angry | 0.6% |
Disgusted | 0.4% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 77.4% |
Calm | 91.7% |
Surprised | 6.6% |
Fear | 6.1% |
Happy | 3% |
Sad | 2.6% |
Confused | 1.2% |
Angry | 1% |
Disgusted | 0.4% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 53.9% |
Calm | 96% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 3.1% |
Disgusted | 0.3% |
Angry | 0.3% |
Confused | 0.2% |
Happy | 0.2% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 99.4% |
Calm | 79.6% |
Surprised | 7% |
Fear | 6.2% |
Disgusted | 4.6% |
Confused | 4.5% |
Sad | 4.3% |
Angry | 2.2% |
Happy | 1.8% |

Microsoft Cognitive Services
Age | 36 |
Gender | Male |

Microsoft Cognitive Services
Age | 24 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Unlikely |
Feature analysis
Categories
Imagga
nature landscape | 47.1% | |
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cars vehicles | 32.4% | |
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streetview architecture | 12.9% | |
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beaches seaside | 4.9% | |
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text visuals | 1% | |
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Captions
Microsoft
created on 2018-05-11
a group of people standing in front of a train | 89.6% | |
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a group of people standing next to a train | 89.5% | |
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a group of people standing by a train | 89.4% | |
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Text analysis
Amazon

CROSSING

ROAD

4290

RAIL

BÁLTIMOREX-OHO

ROSSING
10

ROSSING

10