Machine Generated Data
Tags
Amazon
created on 2023-10-05
Clarifai
created on 2018-05-11
people | 99.9 | |
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adult | 98.2 | |
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group | 97.6 | |
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one | 95.6 | |
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home | 93.5 | |
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two | 93.1 | |
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vehicle | 92.4 | |
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man | 91.6 | |
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wear | 91.6 | |
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woman | 90.7 | |
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group together | 89.5 | |
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furniture | 88.4 | |
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street | 86.2 | |
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transportation system | 84.2 | |
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many | 83.8 | |
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administration | 82.6 | |
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music | 81.6 | |
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facial expression | 81.6 | |
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train | 80.7 | |
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no person | 79.5 | |
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Imagga
created on 2023-10-05
shop | 34.2 | |
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mercantile establishment | 24.9 | |
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grunge | 19.6 | |
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old | 19.5 | |
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vintage | 17.5 | |
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architecture | 17.3 | |
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place of business | 16.6 | |
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bakery | 16.6 | |
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building | 16.2 | |
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art | 15.4 | |
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dirty | 15.3 | |
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antique | 15.1 | |
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barbershop | 14.9 | |
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design | 14.7 | |
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retro | 13.9 | |
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black | 13.8 | |
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structure | 13.2 | |
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window | 12.9 | |
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frame | 11.7 | |
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pattern | 11.6 | |
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musical instrument | 11.4 | |
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decoration | 11.1 | |
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digital | 10.5 | |
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film | 10.2 | |
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rough | 10 | |
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city | 10 | |
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texture | 9.7 | |
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ancient | 9.5 | |
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glass | 9.4 | |
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man | 9.4 | |
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percussion instrument | 9.3 | |
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exterior | 9.2 | |
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marimba | 9 | |
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border | 9 | |
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people | 8.9 | |
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graphic | 8.7 | |
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urban | 8.7 | |
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rust | 8.7 | |
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balcony | 8.6 | |
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dirt | 8.6 | |
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damaged | 8.6 | |
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wall | 8.5 | |
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business | 8.5 | |
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camera | 8.4 | |
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establishment | 8.3 | |
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paint | 8.1 | |
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aged | 8.1 | |
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negative | 8.1 | |
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blackboard | 8.1 | |
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freight car | 8.1 | |
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history | 8 | |
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interior | 8 | |
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designed | 7.9 | |
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noise | 7.8 | |
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slide | 7.8 | |
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scratch | 7.8 | |
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color | 7.8 | |
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movie | 7.7 | |
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collage | 7.7 | |
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edge | 7.7 | |
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grungy | 7.6 | |
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horizontal | 7.5 | |
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entertainment | 7.4 | |
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room | 7.3 | |
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computer | 7.3 | |
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car | 7.2 | |
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male | 7.1 | |
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paper | 7 | |
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travel | 7 | |
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Google
created on 2018-05-11
photograph | 95.5 | |
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black and white | 91.2 | |
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snapshot | 81.8 | |
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photography | 78.5 | |
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monochrome photography | 75.4 | |
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window | 72.8 | |
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monochrome | 64.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-33 |
Gender | Female, 99.9% |
Calm | 67.7% |
Sad | 36.5% |
Surprised | 6.6% |
Fear | 6.4% |
Confused | 4.9% |
Angry | 1.4% |
Disgusted | 0.8% |
Happy | 0.2% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 53.4% |
Calm | 90.6% |
Surprised | 7.1% |
Fear | 6% |
Sad | 3.9% |
Confused | 2.2% |
Disgusted | 0.3% |
Angry | 0.3% |
Happy | 0.2% |

AWS Rekognition
Age | 38-46 |
Gender | Male, 99.1% |
Happy | 41.1% |
Calm | 31.8% |
Fear | 17.4% |
Surprised | 8% |
Sad | 3.2% |
Angry | 1.3% |
Disgusted | 1.2% |
Confused | 0.5% |

Microsoft Cognitive Services
Age | 34 |
Gender | Female |

Microsoft Cognitive Services
Age | 43 |
Gender | Female |
Feature analysis
Categories
Imagga
interior objects | 94.4% | |
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cars vehicles | 2.5% | |
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paintings art | 1.5% | |
|
Captions
Microsoft
created on 2018-05-11
a man standing in front of a window | 92.9% | |
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a black and white photo of a man | 91.8% | |
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a man that is standing in front of a window | 91.7% | |
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Text analysis
Amazon

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