Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-15
architecture | 27.9 | |
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city | 25.8 | |
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building | 25.4 | |
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structure | 23.7 | |
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sky | 22.3 | |
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house | 16.7 | |
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urban | 14.9 | |
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travel | 14.8 | |
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street | 14.7 | |
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old | 14.6 | |
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industry | 14.5 | |
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office | 14.1 | |
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construction | 13.7 | |
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exterior | 12.9 | |
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water | 12.7 | |
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stall | 10.9 | |
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power | 10.9 | |
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landmark | 10.8 | |
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night | 10.7 | |
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landscape | 10.4 | |
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business | 10.3 | |
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industrial | 10 | |
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transportation | 9.9 | |
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tower | 9.8 | |
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equipment | 9.8 | |
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new | 9.7 | |
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skyline | 9.5 | |
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buildings | 9.5 | |
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sea | 9.4 | |
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transport | 9.1 | |
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ocean | 9.1 | |
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modern | 9.1 | |
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facade | 9 | |
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bridge | 8.7 | |
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houses | 8.7 | |
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light | 8.7 | |
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downtown | 8.6 | |
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cityscape | 8.5 | |
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energy | 8.4 | |
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place | 8.4 | |
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town | 8.3 | |
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frame | 8.3 | |
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vintage | 8.3 | |
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billboard | 8.2 | |
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river | 8 | |
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steel | 8 | |
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high | 7.8 | |
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factory | 7.7 | |
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fuel | 7.7 | |
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panorama | 7.6 | |
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clouds | 7.6 | |
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station | 7.5 | |
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outdoors | 7.5 | |
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plant | 7.5 | |
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smoke | 7.4 | |
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tourism | 7.4 | |
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environment | 7.4 | |
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metal | 7.2 | |
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road | 7.2 | |
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black | 7.2 | |
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home | 7.2 | |
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negative | 7.1 | |
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container | 7.1 | |
|
Google
created on 2022-01-15
Black | 89.7 | |
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Plant | 87.8 | |
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Rectangle | 87.6 | |
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Black-and-white | 83.1 | |
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Building | 81.7 | |
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Adaptation | 79.3 | |
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Tints and shades | 77 | |
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Monochrome | 74.6 | |
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Monochrome photography | 74.5 | |
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Facade | 74 | |
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Art | 66.9 | |
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History | 65.6 | |
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Window | 65.5 | |
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Room | 65.1 | |
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Urban design | 61.9 | |
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Landscape | 60.4 | |
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Visual arts | 57.4 | |
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Photographic paper | 56.1 | |
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House | 51 | |
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Shade | 50.9 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-31 |
Gender | Male, 79.9% |
Happy | 81.3% |
Confused | 12.4% |
Calm | 5.3% |
Surprised | 0.3% |
Fear | 0.3% |
Disgusted | 0.2% |
Sad | 0.2% |
Angry | 0.1% |

AWS Rekognition
Age | 35-43 |
Gender | Female, 64.8% |
Calm | 47.8% |
Happy | 20.2% |
Fear | 16.5% |
Surprised | 7.1% |
Angry | 3.2% |
Disgusted | 2.8% |
Sad | 1.6% |
Confused | 1% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 97.4% |
Calm | 93.4% |
Fear | 1.9% |
Sad | 1.9% |
Surprised | 1.2% |
Happy | 0.7% |
Angry | 0.3% |
Confused | 0.3% |
Disgusted | 0.3% |

AWS Rekognition
Age | 9-17 |
Gender | Female, 50.5% |
Calm | 75.6% |
Sad | 21.3% |
Angry | 1.1% |
Fear | 0.5% |
Happy | 0.5% |
Disgusted | 0.4% |
Confused | 0.4% |
Surprised | 0.2% |

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 | Unlikely |
Headwear | Very unlikely |
Blurred | Unlikely |
Feature analysis
Categories
Imagga
interior objects | 99.4% | |
|
Captions
Microsoft
created on 2022-01-15
Text analysis
Amazon

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