Machine Generated Data
Tags
Amazon
created on 2022-03-12
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.6 | |
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Person | 98 | |
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Musician | 96.3 | |
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Musical Instrument | 96.3 | |
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Helicopter | 94.6 | |
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Transportation | 94.6 | |
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Vehicle | 94.6 | |
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Aircraft | 94.6 | |
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Drum | 75.1 | |
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Percussion | 75.1 | |
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Road | 66.5 | |
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Leisure Activities | 64.1 | |
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Drummer | 62.3 | |
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Guitarist | 59.1 | |
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Guitar | 59.1 | |
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Performer | 59.1 | |
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Street | 56.2 | |
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Building | 56.2 | |
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Urban | 56.2 | |
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City | 56.2 | |
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Town | 56.2 | |
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Pier | 55.9 | |
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Water | 55.9 | |
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Waterfront | 55.9 | |
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Port | 55.9 | |
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Dock | 55.9 | |
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Clarifai
created on 2025-01-09
people | 99.9 | |
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monochrome | 99.4 | |
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group together | 98.5 | |
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many | 98.4 | |
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street | 97.6 | |
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group | 97.1 | |
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adult | 93.7 | |
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vehicle | 92.4 | |
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man | 91.9 | |
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child | 91.1 | |
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three | 88.7 | |
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transportation system | 88.3 | |
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woman | 88 | |
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several | 87.8 | |
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aircraft | 85.8 | |
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war | 84.1 | |
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black and white | 82.2 | |
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two | 81 | |
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mono | 80.4 | |
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the press | 79.6 | |
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Imagga
created on 2022-03-12
silhouette | 22.3 | |
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sky | 21 | |
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travel | 19 | |
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transportation | 18.8 | |
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transport | 18.3 | |
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industrial | 17.2 | |
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sunset | 17.1 | |
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industry | 16.2 | |
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station | 15.9 | |
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sea | 15.6 | |
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equipment | 15.4 | |
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landscape | 14.9 | |
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urban | 14.8 | |
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sun | 14.1 | |
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structure | 13.3 | |
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water | 13.3 | |
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building | 13.3 | |
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train | 13.1 | |
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pole | 12.9 | |
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vehicle | 12.9 | |
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railway | 12.7 | |
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cable | 12.6 | |
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dark | 12.5 | |
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city | 12.5 | |
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television camera | 12.3 | |
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man | 12.1 | |
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metal | 12.1 | |
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ocean | 11.7 | |
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summer | 11.6 | |
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photographer | 11.3 | |
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electric | 11.2 | |
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power | 10.9 | |
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railroad | 10.8 | |
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rail | 10.8 | |
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outdoor | 10.7 | |
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wire | 10.5 | |
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old | 10.4 | |
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semaphore | 10.4 | |
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car | 10.4 | |
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construction | 10.3 | |
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clouds | 10.1 | |
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television equipment | 9.9 | |
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vacation | 9.8 | |
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factory | 9.6 | |
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people | 9.5 | |
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punching bag | 9.5 | |
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light | 9.4 | |
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sunrise | 9.4 | |
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architecture | 9.4 | |
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line | 9.4 | |
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electronic equipment | 9.1 | |
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business | 9.1 | |
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environment | 9 | |
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track | 8.9 | |
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rod | 8.8 | |
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nuclear | 8.7 | |
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chemical | 8.7 | |
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person | 8.7 | |
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high | 8.7 | |
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bridge | 8.6 | |
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device | 8.6 | |
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electricity | 8.5 | |
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beach | 8.4 | |
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ship | 8.3 | |
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street | 8.3 | |
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technology | 8.2 | |
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dirty | 8.1 | |
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road | 8.1 | |
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shadow | 8.1 | |
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color | 7.8 | |
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passenger | 7.8 | |
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empty | 7.7 | |
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gas | 7.7 | |
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traffic | 7.6 | |
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tourism | 7.4 | |
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symbol | 7.4 | |
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horizon | 7.2 | |
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coast | 7.2 | |
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steel | 7.1 | |
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rural | 7 | |
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Google
created on 2022-03-12
Sky | 94.1 | |
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Motor vehicle | 83.1 | |
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Black-and-white | 83 | |
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Hat | 78.4 | |
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Automotive tire | 74.3 | |
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Monochrome photography | 73.3 | |
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Monochrome | 73 | |
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Personal protective equipment | 64.4 | |
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Vintage clothing | 62.1 | |
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Stock photography | 61.7 | |
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Landscape | 59.8 | |
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Aircraft | 55.9 | |
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Air travel | 55.8 | |
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History | 54.6 | |
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Crew | 54.4 | |
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Transport | 53.1 | |
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Photographic paper | 52.4 | |
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Microsoft
created on 2022-03-12
sky | 99.8 | |
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black and white | 98.5 | |
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outdoor | 96.1 | |
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monochrome | 81.9 | |
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text | 77.7 | |
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aircraft | 71.7 | |
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person | 57.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-28 |
Gender | Female, 99.3% |
Happy | 99.5% |
Confused | 0.2% |
Angry | 0.1% |
Disgusted | 0.1% |
Surprised | 0.1% |
Sad | 0% |
Calm | 0% |
Fear | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 98.6% |
Calm | 99% |
Sad | 0.5% |
Confused | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |
Disgusted | 0.1% |
Happy | 0.1% |
Angry | 0% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 100% |
Calm | 97.2% |
Confused | 1.9% |
Sad | 0.4% |
Surprised | 0.2% |
Happy | 0.1% |
Angry | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 9-17 |
Gender | Female, 99.9% |
Surprised | 30.7% |
Fear | 30.4% |
Happy | 15.9% |
Calm | 13% |
Angry | 4.3% |
Sad | 2.3% |
Disgusted | 1.9% |
Confused | 1.6% |

AWS Rekognition
Age | 6-12 |
Gender | Female, 100% |
Happy | 93.6% |
Calm | 2.2% |
Angry | 2.2% |
Surprised | 0.5% |
Sad | 0.4% |
Fear | 0.4% |
Disgusted | 0.3% |
Confused | 0.3% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person
Helicopter
Categories
Imagga
streetview architecture | 99.8% | |
|
Captions
Microsoft
created on 2022-03-12
a group of people around a track | 51.2% | |
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a group of people in a field | 51.1% | |
| ||
a group of people standing next to a train | 38.3% | |
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Text analysis
Amazon

50

ANIMALS

CAGES

22581

EDUCATIONAL

ALIVE

RTM

ANIMALS A

IS

EXHIR

A

ANIMALSA
22581

ANIMALSA

22581