Machine Generated Data
Tags
Amazon
created on 2022-01-23
Person | 97.1 | |
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Human | 97.1 | |
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Water | 96.6 | |
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Person | 93.6 | |
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Person | 89.7 | |
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Person | 88.9 | |
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Waterfront | 88.1 | |
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Person | 83.8 | |
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Tent | 83.3 | |
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Vehicle | 81.9 | |
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Transportation | 81.9 | |
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Pier | 78.3 | |
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Port | 78.3 | |
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Dock | 78.3 | |
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Tent | 78 | |
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Military | 73.5 | |
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Tent | 70.6 | |
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Person | 69 | |
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Canopy | 68.3 | |
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Tent | 66.4 | |
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Person | 65.4 | |
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Ship | 63.3 | |
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Person | 60.4 | |
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People | 58.8 | |
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Person | 57.8 | |
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Harbor | 55.9 | |
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Person | 54.7 | |
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Clarifai
created on 2023-10-27
Imagga
created on 2022-01-23
radio telescope | 100 | |
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astronomical telescope | 88.1 | |
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telescope | 65.9 | |
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magnifier | 43.8 | |
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sky | 23 | |
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scientific instrument | 22 | |
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travel | 21.8 | |
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city | 21.6 | |
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architecture | 20.3 | |
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water | 20 | |
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building | 18.3 | |
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wreckage | 15.7 | |
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ship | 15.6 | |
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warship | 14.3 | |
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aircraft carrier | 14.2 | |
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sea | 13.4 | |
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river | 13.3 | |
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clouds | 12.7 | |
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part | 12.7 | |
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landscape | 12.6 | |
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aerial | 11.6 | |
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tower | 11.6 | |
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vacation | 11.4 | |
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technology | 11.1 | |
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town | 11.1 | |
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tourism | 10.7 | |
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structure | 10.5 | |
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cityscape | 10.4 | |
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military vehicle | 10.3 | |
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above | 9.7 | |
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cloud | 9.5 | |
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ocean | 9.1 | |
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boat | 9.1 | |
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old | 9.1 | |
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world | 8.9 | |
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urban | 8.7 | |
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boats | 8.7 | |
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scene | 8.6 | |
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construction | 8.6 | |
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aircraft | 8.4 | |
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solar dish | 8.4 | |
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house | 8.4 | |
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exterior | 8.3 | |
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air | 8.3 | |
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street | 8.3 | |
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earth | 8.2 | |
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global | 8.2 | |
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industrial | 8.2 | |
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holiday | 7.9 | |
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harbor | 7.7 | |
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winter | 7.7 | |
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roof | 7.6 | |
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power | 7.5 | |
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equipment | 7.5 | |
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digital | 7.3 | |
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business | 7.3 | |
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vehicle | 7.3 | |
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landmark | 7.2 | |
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summer | 7.1 | |
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work | 7.1 | |
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Google
created on 2022-01-23
Motor vehicle | 92.3 | |
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Black | 89.8 | |
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Black-and-white | 86.4 | |
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Style | 84 | |
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Line | 81.6 | |
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Tree | 81.1 | |
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Adaptation | 79.2 | |
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Monochrome photography | 78.3 | |
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Tints and shades | 77.1 | |
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Monochrome | 76.6 | |
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Shade | 75.8 | |
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Watercraft | 74.8 | |
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Urban design | 74.4 | |
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Naval architecture | 73.4 | |
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Font | 73.3 | |
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Umbrella | 71.7 | |
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Landscape | 71.6 | |
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Boat | 69.9 | |
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Rectangle | 69.1 | |
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Event | 66.7 | |
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Microsoft
created on 2022-01-23
text | 96.6 | |
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black and white | 93 | |
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water | 81.2 | |
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monochrome | 57.1 | |
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ship | 51.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-27 |
Gender | Female, 72.6% |
Sad | 31.5% |
Calm | 30.6% |
Happy | 18.2% |
Fear | 5.4% |
Disgusted | 4.9% |
Surprised | 3.5% |
Angry | 3.4% |
Confused | 2.5% |

AWS Rekognition
Age | 27-37 |
Gender | Female, 60.7% |
Calm | 97.7% |
Happy | 1% |
Sad | 0.3% |
Angry | 0.2% |
Surprised | 0.2% |
Disgusted | 0.2% |
Confused | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 54.8% |
Calm | 68.8% |
Sad | 19.7% |
Happy | 3.3% |
Confused | 2.5% |
Angry | 1.8% |
Disgusted | 1.4% |
Surprised | 1.4% |
Fear | 1.2% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 95% |
Calm | 80.2% |
Sad | 6.7% |
Angry | 5.3% |
Surprised | 2.8% |
Confused | 1.6% |
Disgusted | 1.6% |
Happy | 1.1% |
Fear | 0.7% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 74.8% |
Calm | 96.9% |
Sad | 1.1% |
Angry | 0.6% |
Fear | 0.5% |
Happy | 0.5% |
Surprised | 0.2% |
Disgusted | 0.2% |
Confused | 0.1% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 88.6% |
Calm | 53.8% |
Happy | 20% |
Fear | 9.7% |
Surprised | 8% |
Angry | 3.5% |
Disgusted | 1.8% |
Sad | 1.8% |
Confused | 1.4% |
Feature analysis
Categories
Imagga
streetview architecture | 24.3% | |
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cars vehicles | 23.7% | |
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nature landscape | 21.4% | |
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beaches seaside | 15.3% | |
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paintings art | 9.6% | |
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food drinks | 3.3% | |
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Captions
Microsoft
created on 2022-01-23
calendar | 10.3% | |
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Text analysis
Amazon

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