Machine Generated Data
Tags
Amazon
created on 2022-03-11
Clarifai
created on 2023-10-22
Imagga
created on 2022-03-11
man | 29.6 | |
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sky | 26.9 | |
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passenger | 23.1 | |
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people | 20.6 | |
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uniform | 19.9 | |
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stretcher | 18.6 | |
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military uniform | 18.4 | |
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male | 18.4 | |
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rifle | 17.8 | |
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travel | 17.6 | |
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vehicle | 17.6 | |
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car | 17.4 | |
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outdoors | 17.2 | |
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gun | 16.7 | |
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person | 16.4 | |
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clothing | 15.8 | |
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conveyance | 15.6 | |
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litter | 14.8 | |
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sitting | 14.6 | |
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city | 14.1 | |
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landscape | 14.1 | |
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sea | 14.1 | |
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transportation | 13.4 | |
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cloud | 12.9 | |
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firearm | 12.3 | |
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outdoor | 12.2 | |
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clouds | 11.8 | |
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adult | 11.6 | |
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weapon | 11.5 | |
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boat | 11.1 | |
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ocean | 10.8 | |
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park | 10.7 | |
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military | 10.6 | |
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vacations | 10.3 | |
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work | 10.2 | |
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lifestyle | 10.1 | |
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vacation | 9.8 | |
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working | 9.7 | |
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one | 9.7 | |
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couple | 9.6 | |
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tank | 9.6 | |
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outside | 9.4 | |
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covering | 9.4 | |
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water | 9.3 | |
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tourism | 9.1 | |
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old | 9.1 | |
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computer | 8.9 | |
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steel | 8.8 | |
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soldier | 8.8 | |
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hat | 8.8 | |
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day | 8.6 | |
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men | 8.6 | |
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laptop | 8.4 | |
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military vehicle | 8.4 | |
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hand | 8.4 | |
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sport | 8.3 | |
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road | 8.1 | |
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to | 8 | |
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smiling | 8 | |
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consumer goods | 7.9 | |
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business | 7.9 | |
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urban | 7.9 | |
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portrait | 7.8 | |
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summer | 7.7 | |
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automobile | 7.7 | |
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leisure | 7.5 | |
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technology | 7.4 | |
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street | 7.4 | |
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protection | 7.3 | |
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industrial | 7.3 | |
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engineer | 7.2 | |
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coast | 7.2 | |
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women | 7.1 | |
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tourist | 7.1 | |
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worker | 7.1 | |
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love | 7.1 | |
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windshield wiper | 7.1 | |
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job | 7.1 | |
|
Google
created on 2022-03-11
Aircraft | 90.7 | |
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Airplane | 88.1 | |
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Aviation | 84.5 | |
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Vehicle | 83.9 | |
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Aerospace manufacturer | 81 | |
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Sky | 77.8 | |
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Tints and shades | 76 | |
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Air travel | 75.1 | |
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Crew | 72.4 | |
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Flap | 68.1 | |
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Military aircraft | 67.4 | |
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Monoplane | 63.7 | |
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Aerospace engineering | 63.5 | |
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Stock photography | 63.3 | |
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Fighter pilot | 62.8 | |
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Motor vehicle | 62.4 | |
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Hat | 61.3 | |
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Airline | 59.6 | |
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Propeller-driven aircraft | 58.2 | |
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Airliner | 57.9 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 24-34 |
Gender | Male, 100% |
Happy | 94.8% |
Surprised | 2.4% |
Confused | 0.7% |
Angry | 0.6% |
Fear | 0.6% |
Disgusted | 0.4% |
Calm | 0.4% |
Sad | 0.1% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.2% |
Happy | 98.4% |
Confused | 0.9% |
Disgusted | 0.2% |
Calm | 0.2% |
Angry | 0.1% |
Sad | 0.1% |
Fear | 0.1% |
Surprised | 0% |

Microsoft Cognitive Services
Age | 49 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 59.2% | |
| ||
nature landscape | 20.7% | |
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food drinks | 6.5% | |
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beaches seaside | 5.2% | |
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cars vehicles | 3.3% | |
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paintings art | 2.5% | |
|
Captions
Microsoft
created on 2022-03-11
an old photo of a man | 91.4% | |
| ||
a man sitting in front of a plane | 64.5% | |
| ||
old photo of a man | 64.4% | |
|
Text analysis
Amazon

MJIR--YT3RA°--