Machine Generated Data
Tags
Amazon
created on 2022-01-29
Clarifai
created on 2023-10-27
Imagga
created on 2022-01-29
blackboard | 73.7 | |
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classroom | 47.8 | |
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room | 37.2 | |
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old | 28.6 | |
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vintage | 27.3 | |
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grunge | 26.4 | |
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aged | 23.5 | |
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texture | 21.5 | |
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antique | 19.9 | |
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retro | 19.7 | |
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structure | 19.4 | |
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city | 15.8 | |
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ancient | 15.6 | |
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dirty | 15.4 | |
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art | 15.3 | |
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grungy | 14.2 | |
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architecture | 14.1 | |
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rough | 13.7 | |
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dark | 13.4 | |
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damaged | 13.4 | |
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paper | 13.3 | |
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university | 13.2 | |
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black | 13.2 | |
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design | 12.9 | |
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building | 12.9 | |
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frame | 12.5 | |
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border | 11.8 | |
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pattern | 11.6 | |
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material | 11.6 | |
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urban | 11.4 | |
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text | 11.3 | |
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travel | 11.3 | |
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wall | 11.1 | |
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graphic | 10.9 | |
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board | 10.8 | |
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landscape | 10.4 | |
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brown | 10.3 | |
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sky | 10.2 | |
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card | 10.2 | |
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letter | 10.1 | |
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space | 10.1 | |
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color | 10 | |
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wallpaper | 10 | |
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memorial | 9.9 | |
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man | 9.4 | |
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tourism | 9.1 | |
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decoration | 9.1 | |
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night | 8.9 | |
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chalk | 8.8 | |
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textured | 8.8 | |
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stage | 8.8 | |
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messy | 8.7 | |
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rust | 8.7 | |
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worn | 8.6 | |
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old fashioned | 8.6 | |
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web site | 8.4 | |
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grain | 8.3 | |
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school | 8.2 | |
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paint | 8.1 | |
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film | 7.9 | |
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artistic | 7.8 | |
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empty | 7.7 | |
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stain | 7.7 | |
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downtown | 7.7 | |
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weathered | 7.6 | |
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billboard | 7.6 | |
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ocean | 7.5 | |
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backdrop | 7.4 | |
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historic | 7.3 | |
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landmark | 7.2 | |
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platform | 7.1 | |
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sea | 7 | |
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modern | 7 | |
|
Google
created on 2022-01-29
Font | 83.5 | |
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Poster | 76 | |
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Event | 71.8 | |
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Monochrome | 69.5 | |
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Crowd | 68.7 | |
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Rectangle | 68.6 | |
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Monochrome photography | 67.2 | |
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Art | 67.1 | |
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Advertising | 66.8 | |
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Paper product | 65.3 | |
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History | 65.2 | |
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Groundcover | 64.4 | |
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Illustration | 64 | |
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Stock photography | 63 | |
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Photo caption | 62.4 | |
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Plant | 62.2 | |
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Room | 57.8 | |
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Brand | 56.3 | |
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Pattern | 52.9 | |
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Paper | 51.2 | |
|
Microsoft
created on 2022-01-29
text | 99.9 | |
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black and white | 79.1 | |
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handwriting | 70.8 | |
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crowd | 0.9 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-26 |
Gender | Female, 82.3% |
Calm | 82.3% |
Confused | 9.1% |
Disgusted | 2.3% |
Surprised | 2.1% |
Happy | 1.6% |
Fear | 1.1% |
Angry | 0.8% |
Sad | 0.7% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 70.2% |
Sad | 46% |
Angry | 14.5% |
Calm | 11.5% |
Happy | 10.4% |
Disgusted | 7.1% |
Fear | 3.9% |
Confused | 3.4% |
Surprised | 3.2% |

AWS Rekognition
Age | 6-14 |
Gender | Male, 68% |
Confused | 64.9% |
Calm | 13.1% |
Surprised | 7.5% |
Disgusted | 5.9% |
Sad | 5.1% |
Angry | 1.9% |
Fear | 1.1% |
Happy | 0.5% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 91.3% |
Calm | 73.7% |
Sad | 16.8% |
Disgusted | 3.1% |
Angry | 2.1% |
Surprised | 2.1% |
Fear | 1.2% |
Confused | 0.8% |
Happy | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 91.6% |
Happy | 36.6% |
Calm | 30.4% |
Sad | 23% |
Confused | 5.8% |
Fear | 1.9% |
Disgusted | 1% |
Angry | 0.8% |
Surprised | 0.6% |

AWS Rekognition
Age | 11-19 |
Gender | Male, 92.4% |
Calm | 49.8% |
Sad | 34.3% |
Confused | 8.2% |
Angry | 2.4% |
Happy | 2.1% |
Fear | 1.2% |
Disgusted | 1.1% |
Surprised | 0.9% |

AWS Rekognition
Age | 12-20 |
Gender | Female, 69.8% |
Calm | 60% |
Sad | 34.2% |
Fear | 1.5% |
Confused | 1.4% |
Surprised | 1% |
Angry | 0.9% |
Disgusted | 0.6% |
Happy | 0.4% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 93.7% |
Sad | 32.7% |
Calm | 20.1% |
Disgusted | 16.2% |
Confused | 10.1% |
Surprised | 7.5% |
Angry | 7% |
Fear | 4.8% |
Happy | 1.6% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 78.9% |
Calm | 90.5% |
Sad | 6.3% |
Happy | 0.9% |
Angry | 0.8% |
Fear | 0.5% |
Confused | 0.4% |
Surprised | 0.3% |
Disgusted | 0.2% |
Feature analysis
Categories
Imagga
text visuals | 49.2% | |
| ||
events parties | 28.1% | |
| ||
streetview architecture | 17.1% | |
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people portraits | 1.7% | |
| ||
nature landscape | 1.5% | |
|
Captions
Microsoft
created on 2022-01-29
graphical user interface | 52.8% | |
|
Text analysis
Amazon

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