Machine Generated Data
Tags
Amazon
created on 2022-03-05
Clarifai
created on 2023-10-29
Imagga
created on 2022-03-05
barbershop | 64.3 | |
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shop | 53.6 | |
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balcony | 48 | |
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mercantile establishment | 40.2 | |
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building | 29.5 | |
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structure | 28.8 | |
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architecture | 28.4 | |
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window | 28.2 | |
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place of business | 26.8 | |
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door | 24.6 | |
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old | 24.4 | |
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wall | 23.1 | |
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house | 20 | |
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exterior | 17.5 | |
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city | 17.5 | |
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wood | 14.2 | |
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interior | 14.1 | |
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blackboard | 14.1 | |
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travel | 14.1 | |
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grunge | 13.6 | |
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establishment | 13.6 | |
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vintage | 13.2 | |
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glass | 13.2 | |
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empty | 12.9 | |
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frame | 12.5 | |
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windows | 12.5 | |
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urban | 12.2 | |
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construction | 12 | |
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home | 12 | |
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texture | 11.8 | |
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entrance | 11.6 | |
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retro | 11.5 | |
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buildings | 11.3 | |
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room | 11 | |
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dirty | 10.8 | |
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light | 10.7 | |
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ancient | 10.4 | |
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sky | 10.2 | |
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design | 10.1 | |
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wooden | 9.7 | |
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style | 9.6 | |
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roof | 9.5 | |
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decoration | 9.4 | |
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outdoor | 9.2 | |
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aged | 9 | |
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pattern | 8.9 | |
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detail | 8.8 | |
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antique | 8.7 | |
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town | 8.3 | |
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street | 8.3 | |
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inside | 8.3 | |
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sign | 8.3 | |
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historic | 8.3 | |
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tourism | 8.2 | |
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history | 8 | |
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window shade | 8 | |
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doors | 7.9 | |
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exteriors | 7.8 | |
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black | 7.8 | |
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art | 7.8 | |
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screen | 7.8 | |
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architectural | 7.7 | |
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stone | 7.6 | |
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office | 7.6 | |
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brown | 7.4 | |
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facade | 7.2 | |
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metal | 7.2 | |
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border | 7.2 | |
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modern | 7 | |
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Google
created on 2022-03-05
Black-and-white | 84.4 | |
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Rectangle | 84.3 | |
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Building | 79.1 | |
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Art | 76.7 | |
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Monochrome photography | 76.2 | |
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Monochrome | 76 | |
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Facade | 74 | |
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Font | 69.4 | |
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Symmetry | 68.2 | |
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Room | 64.4 | |
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Visual arts | 63.4 | |
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Stock photography | 62.2 | |
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History | 53.6 | |
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Photographic paper | 53 | |
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Collection | 52.7 | |
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Daylighting | 51.6 | |
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Glass | 51.2 | |
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Urban design | 50.8 | |
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Microsoft
created on 2022-03-05
black and white | 98.3 | |
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text | 97.7 | |
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building | 78.6 | |
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white | 68.5 | |
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monochrome | 66.5 | |
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street | 59 | |
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person | 55.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-28 |
Gender | Female, 50.3% |
Calm | 72.9% |
Sad | 21.7% |
Happy | 1.8% |
Angry | 0.9% |
Surprised | 0.9% |
Disgusted | 0.9% |
Fear | 0.5% |
Confused | 0.5% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 95.4% |
Surprised | 72.8% |
Calm | 6.5% |
Sad | 6.4% |
Happy | 6.3% |
Confused | 3% |
Angry | 2.6% |
Disgusted | 1.3% |
Fear | 1.1% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 68.6% |
Calm | 95.8% |
Disgusted | 1% |
Sad | 0.9% |
Happy | 0.7% |
Angry | 0.7% |
Confused | 0.6% |
Surprised | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 83% |
Calm | 90.3% |
Sad | 3.7% |
Happy | 2.1% |
Angry | 1.6% |
Surprised | 0.9% |
Confused | 0.7% |
Disgusted | 0.4% |
Fear | 0.3% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 80.8% |
Calm | 66.1% |
Happy | 22% |
Sad | 5.5% |
Confused | 2.2% |
Fear | 1.9% |
Surprised | 0.8% |
Disgusted | 0.7% |
Angry | 0.7% |
Feature analysis
Categories
Imagga
streetview architecture | 99.5% | |
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Captions
Microsoft
created on 2022-03-05
a close up of a store window | 82.9% | |
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a portrait of a store window | 82.8% | |
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a store inside of a building | 82.7% | |
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Text analysis
Amazon

FILM

KODAN S-AFEIT FILM

can

KODAN

S-AFEIT

RODAR