Machine Generated Data
Tags
Amazon
created on 2023-10-07
Clothing | 99.9 | |
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Face | 99.9 | |
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Head | 99.9 | |
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Photography | 99.9 | |
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Portrait | 99.9 | |
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Person | 99.4 | |
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Adult | 99.4 | |
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Female | 99.4 | |
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Woman | 99.4 | |
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Person | 98.6 | |
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Adult | 98.6 | |
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Male | 98.6 | |
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Man | 98.6 | |
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Machine | 98.4 | |
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Wheel | 98.4 | |
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Accessories | 96.4 | |
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Sunglasses | 96.4 | |
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Person | 93.1 | |
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Hat | 87.9 | |
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Cap | 85 | |
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Amusement Park | 84.6 | |
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Hat | 79.1 | |
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Art | 71.5 | |
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Painting | 67.9 | |
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Car | 59.8 | |
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Transportation | 59.8 | |
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Vehicle | 59.8 | |
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Carousel | 57.1 | |
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Play | 57.1 | |
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Baseball Cap | 57 | |
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Fun | 56.8 | |
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Theme Park | 56.8 | |
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T-Shirt | 56.3 | |
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Sun Hat | 56.2 | |
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Architecture | 55.5 | |
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Building | 55.5 | |
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Factory | 55.5 | |
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Manufacturing | 55.5 | |
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Drawing | 55.2 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-07
industry | 25.6 | |
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industrial | 23.6 | |
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machine | 22.5 | |
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metal | 20.9 | |
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vehicle | 20.6 | |
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work | 20.5 | |
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man | 19.5 | |
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steel | 18.5 | |
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worker | 16.9 | |
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old | 16 | |
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power | 15.1 | |
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factory | 15 | |
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building | 14.4 | |
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job | 14.1 | |
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working | 14.1 | |
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construction | 13.7 | |
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equipment | 13 | |
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male | 12.8 | |
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iron | 12.4 | |
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machinist | 12.3 | |
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transportation | 11.6 | |
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engineer | 11.6 | |
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car | 11.4 | |
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wheel | 11.4 | |
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device | 10.7 | |
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technology | 10.4 | |
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vessel | 10.1 | |
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person | 10.1 | |
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people | 10 | |
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boiler | 10 | |
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dirty | 9.9 | |
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engine | 9.6 | |
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architecture | 9.4 | |
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container | 9 | |
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manufacturing | 8.8 | |
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military | 8.7 | |
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concrete | 8.6 | |
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men | 8.6 | |
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engineering | 8.6 | |
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machinery | 8.4 | |
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safety | 8.3 | |
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transport | 8.2 | |
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light | 8 | |
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tank | 7.9 | |
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business | 7.9 | |
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helmet | 7.8 | |
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labor | 7.8 | |
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mechanical | 7.8 | |
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travel | 7.7 | |
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war | 7.7 | |
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repair | 7.7 | |
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grunge | 7.7 | |
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heavy | 7.6 | |
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gear | 7.6 | |
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energy | 7.6 | |
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fire | 7.5 | |
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tractor | 7.3 | |
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protection | 7.3 | |
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danger | 7.3 | |
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track | 7.2 | |
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wheeled vehicle | 7.1 | |
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Google
created on 2018-05-11
black and white | 90.9 | |
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monochrome photography | 78.6 | |
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monochrome | 64 | |
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vehicle | 55.9 | |
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history | 52.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 59-69 |
Gender | Male, 94.3% |
Happy | 94.9% |
Surprised | 7.6% |
Fear | 6.1% |
Sad | 2.2% |
Calm | 0.9% |
Disgusted | 0.4% |
Angry | 0.3% |
Confused | 0.2% |

AWS Rekognition
Age | 59-67 |
Gender | Male, 99.9% |
Happy | 73.6% |
Calm | 11.3% |
Confused | 8.3% |
Surprised | 7% |
Fear | 6.3% |
Sad | 2.7% |
Disgusted | 1.4% |
Angry | 1.3% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 98.7% |
Confused | 61.6% |
Fear | 17.3% |
Angry | 9.3% |
Surprised | 7.1% |
Sad | 3.5% |
Calm | 2.3% |
Disgusted | 2% |
Happy | 1.9% |

Microsoft Cognitive Services
Age | 88 |
Gender | Female |

Microsoft Cognitive Services
Age | 78 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 59.1% | |
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people portraits | 35.6% | |
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streetview architecture | 2.4% | |
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interior objects | 1% | |
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Captions
Microsoft
created on 2018-05-11
Francoise Dolto et al. sitting posing for the camera | 92.9% | |
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Francoise Dolto et al. sitting on a bus | 64.2% | |
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Francoise Dolto et al. sitting in front of a bus | 61.2% | |
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