Machine Generated Data
Tags
Amazon
created on 2019-03-22
Clarifai
created on 2019-03-22
people | 99.7 | |
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group together | 98.4 | |
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group | 97.3 | |
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adult | 96.9 | |
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man | 96 | |
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monochrome | 95.9 | |
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street | 94.1 | |
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many | 92.1 | |
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woman | 91.8 | |
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child | 89.9 | |
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two | 87.6 | |
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war | 87.1 | |
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vehicle | 86.7 | |
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one | 85.1 | |
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fence | 85 | |
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military | 84.3 | |
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transportation system | 80.7 | |
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black and white | 77.7 | |
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three | 77.5 | |
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several | 77 | |
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Imagga
created on 2019-03-22
picket fence | 100 | |
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fence | 100 | |
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barrier | 78.4 | |
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obstruction | 51.8 | |
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structure | 34.2 | |
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sky | 22.3 | |
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building | 19.1 | |
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pier | 19 | |
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water | 18.7 | |
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city | 16.6 | |
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architecture | 16.4 | |
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ocean | 14.1 | |
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travel | 14.1 | |
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night | 13.3 | |
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sea | 13.3 | |
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industrial | 12.7 | |
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beach | 12.6 | |
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landscape | 12.6 | |
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bridge | 12.3 | |
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support | 11.8 | |
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house | 11.7 | |
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ship | 11.5 | |
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urban | 11.4 | |
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tourism | 10.7 | |
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vacation | 10.6 | |
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pollution | 10.6 | |
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sand | 10.5 | |
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industry | 10.2 | |
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clouds | 10.1 | |
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street | 10.1 | |
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liner | 10.1 | |
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tower | 9.9 | |
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factory | 9.7 | |
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device | 9.6 | |
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grass | 9.5 | |
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winter | 9.4 | |
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light | 9.4 | |
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power | 9.2 | |
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passenger ship | 9.1 | |
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road | 9 | |
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landmark | 9 | |
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vessel | 9 | |
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plant | 9 | |
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reflection | 8.9 | |
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river | 8.9 | |
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outdoor | 8.4 | |
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energy | 8.4 | |
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summer | 8.4 | |
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town | 8.3 | |
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scenery | 8.1 | |
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steel | 8.1 | |
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chimney | 7.8 | |
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station | 7.7 | |
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railing | 7.7 | |
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construction | 7.7 | |
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tree | 7.7 | |
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old | 7.7 | |
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electricity | 7.6 | |
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wood | 7.5 | |
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boat | 7.4 | |
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tourist | 7.3 | |
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home | 7.2 | |
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Google
created on 2019-03-22
Photograph | 96.9 | |
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Motor vehicle | 96.3 | |
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Snapshot | 85.6 | |
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Vehicle | 80.1 | |
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Classic | 76.7 | |
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Stock photography | 75.8 | |
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Photography | 72.5 | |
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Black-and-white | 68.3 | |
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Vintage car | 67.5 | |
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Car | 67.1 | |
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Classic car | 57.1 | |
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Microsoft
created on 2019-03-22
outdoor | 89.5 | |
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black | 73 | |
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white | 68.3 | |
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black and white | 68.3 | |
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monochrome | 32.3 | |
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street | 18.6 | |
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infrared | 12.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.2% |
Angry | 49.6% |
Surprised | 49.6% |
Happy | 49.5% |
Disgusted | 49.5% |
Sad | 50.1% |
Confused | 49.5% |
Calm | 49.7% |

AWS Rekognition
Age | 57-77 |
Gender | Male, 52.4% |
Calm | 46.2% |
Confused | 45.1% |
Angry | 45.1% |
Sad | 53.3% |
Surprised | 45.1% |
Disgusted | 45.1% |
Happy | 45.1% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 50.3% |
Calm | 50.3% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 50.4% |
Calm | 46.6% |
Surprised | 45.8% |
Happy | 46.5% |
Sad | 45.9% |
Disgusted | 48% |
Angry | 46.3% |
Confused | 45.9% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 50.2% |
Disgusted | 49.5% |
Calm | 49.7% |
Angry | 49.6% |
Sad | 50.1% |
Happy | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 54.6% |
Surprised | 45.1% |
Sad | 47.3% |
Confused | 45.4% |
Disgusted | 45.1% |
Calm | 51.7% |
Happy | 45% |
Angry | 45.3% |
Feature analysis
Categories
Imagga
cars vehicles | 99.6% | |
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Captions
Microsoft
created on 2019-03-22
a vintage photo of a white fence | 74.5% | |
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a vintage photo of a building | 74.4% | |
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a black and white photo of a bench | 74.3% | |
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Text analysis
Amazon

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