Machine Generated Data
Tags
Amazon
created on 2019-06-01
Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
liner | 82 | |
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ship | 75.3 | |
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passenger ship | 64.5 | |
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vessel | 46.1 | |
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city | 25.8 | |
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sky | 25.5 | |
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craft | 21.6 | |
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landscape | 21.6 | |
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architecture | 21.1 | |
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sea | 19.6 | |
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boat | 19.6 | |
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travel | 19 | |
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snow | 17.2 | |
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urban | 16.6 | |
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aircraft carrier | 15.6 | |
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water | 15.4 | |
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building | 15.2 | |
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warship | 14.7 | |
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port | 14.5 | |
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transportation | 14.4 | |
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ocean | 14.1 | |
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town | 13.9 | |
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house | 13.5 | |
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industry | 12.8 | |
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ski slope | 12.7 | |
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industrial | 12.7 | |
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station | 12.4 | |
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tourism | 12.4 | |
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cityscape | 12.3 | |
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slope | 12.1 | |
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construction | 12 | |
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dock | 11.7 | |
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tower | 11.6 | |
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panorama | 11.4 | |
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structure | 11.4 | |
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vehicle | 11.3 | |
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winter | 11.1 | |
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transport | 11 | |
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river | 10.7 | |
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shipping | 10.4 | |
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military vehicle | 9.9 | |
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vacation | 9.8 | |
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cold | 9.5 | |
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car | 9.5 | |
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center | 9.2 | |
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power | 9.2 | |
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business | 9.1 | |
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old | 9.1 | |
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road | 9 | |
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landmark | 9 | |
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outdoors | 9 | |
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steel | 8.8 | |
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cruise | 8.8 | |
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cargo | 8.7 | |
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light | 8.7 | |
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factory | 8.7 | |
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harbor | 8.7 | |
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pier | 8.7 | |
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scene | 8.7 | |
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pollution | 8.7 | |
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bridge | 8.6 | |
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facility | 8.5 | |
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street | 8.3 | |
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tourist | 8.3 | |
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plant | 8.2 | |
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coast | 8.1 | |
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maritime | 7.9 | |
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outside | 7.7 | |
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geological formation | 7.6 | |
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clouds | 7.6 | |
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skyline | 7.6 | |
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energy | 7.6 | |
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buildings | 7.6 | |
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historical | 7.5 | |
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famous | 7.4 | |
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environment | 7.4 | |
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exterior | 7.4 | |
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history | 7.2 | |
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day | 7.1 | |
|
Google
created on 2019-06-01
Architecture | 65.5 | |
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Building | 63.7 | |
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Black-and-white | 56.4 | |
|
Microsoft
created on 2019-06-01
black and white | 92.7 | |
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black | 79.4 | |
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white | 69 | |
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sky | 51.5 | |
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old | 41.9 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Sad | 49.7% |
Angry | 49.6% |
Disgusted | 49.6% |
Surprised | 49.5% |
Happy | 49.6% |
Calm | 50% |
Confused | 49.6% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 50.2% |
Disgusted | 49.8% |
Sad | 49.9% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Calm | 49.6% |
Confused | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.7% |
Calm | 45.3% |
Surprised | 45.7% |
Sad | 46.8% |
Confused | 45.3% |
Disgusted | 45.9% |
Happy | 50.4% |
Angry | 45.6% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.1% |
Disgusted | 49.6% |
Happy | 49.6% |
Sad | 49.7% |
Calm | 49.7% |
Angry | 49.6% |
Surprised | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 50.3% |
Disgusted | 49.6% |
Surprised | 49.5% |
Angry | 49.7% |
Confused | 49.5% |
Sad | 49.6% |
Calm | 50% |
Happy | 49.6% |
Feature analysis
Categories
Imagga
cars vehicles | 99.7% | |
|
Captions
Microsoft
created on 2019-06-01
a vintage photo of a street | 76.9% | |
| ||
a vintage photo of a ship | 47.6% | |
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a black and white photo of a ship | 47.5% | |
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Text analysis
Amazon

B5-223