Machine Generated Data
Tags
Amazon
created on 2019-06-01
Nature | 99.6 | |
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Human | 99.1 | |
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Person | 99.1 | |
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Outdoors | 99 | |
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Person | 98.9 | |
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Person | 97.3 | |
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Person | 97 | |
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Person | 93.9 | |
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Person | 93.5 | |
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Person | 89.8 | |
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Snow | 87 | |
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Apparel | 84.4 | |
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Clothing | 84.4 | |
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Weather | 79.1 | |
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Winter | 77.2 | |
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People | 76.1 | |
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Person | 75.3 | |
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Ice | 71.7 | |
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Sand | 61.7 | |
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Water | 59 | |
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Beach | 59 | |
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Sea | 59 | |
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Coast | 59 | |
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Ocean | 59 | |
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Shoreline | 59 | |
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Storm | 56.5 | |
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Shorts | 56.1 | |
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Person | 44.1 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
negative | 76.7 | |
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film | 60.5 | |
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photographic paper | 40.8 | |
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graffito | 31.1 | |
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decoration | 29.2 | |
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grunge | 27.3 | |
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photographic equipment | 27.2 | |
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old | 22.3 | |
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art | 20.2 | |
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texture | 19.5 | |
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antique | 19 | |
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vintage | 19 | |
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grungy | 19 | |
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dirty | 18.1 | |
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structure | 17 | |
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pattern | 16.4 | |
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retro | 15.6 | |
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black | 15 | |
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rough | 14.6 | |
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frame | 14.2 | |
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wall | 14 | |
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paint | 13.6 | |
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aged | 13.6 | |
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space | 13.2 | |
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design | 12.9 | |
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border | 12.7 | |
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material | 12.5 | |
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cool | 11.5 | |
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weathered | 11.4 | |
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text | 11.4 | |
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color | 11.1 | |
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decorative | 10.9 | |
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paper | 10.8 | |
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dirt | 10.5 | |
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detail | 10.5 | |
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ancient | 10.4 | |
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snow | 10 | |
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water | 10 | |
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textured | 9.6 | |
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edge | 9.6 | |
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mask | 9.6 | |
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damaged | 9.5 | |
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old fashioned | 9.5 | |
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graphic | 9.5 | |
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dress | 9 | |
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memorial | 9 | |
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cemetery | 8.9 | |
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scratch | 8.8 | |
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canvas | 8.5 | |
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outdoor | 8.4 | |
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outdoors | 8.2 | |
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stone | 8.2 | |
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river | 8 | |
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building | 7.9 | |
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noisy | 7.9 | |
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noise | 7.8 | |
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rock | 7.8 | |
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people | 7.8 | |
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movie | 7.8 | |
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cold | 7.7 | |
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collage | 7.7 | |
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aging | 7.7 | |
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screen | 7.6 | |
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landscape | 7.4 | |
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man | 7.4 | |
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fountain | 7.3 | |
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fence | 7.2 | |
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history | 7.2 | |
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Google
created on 2019-06-01
Photograph | 97.5 | |
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Snapshot | 87.5 | |
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Photography | 70.6 | |
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Stock photography | 59.4 | |
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Team | 59.4 | |
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Black-and-white | 56.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 51.9% |
Surprised | 45.9% |
Sad | 47.8% |
Happy | 45.1% |
Angry | 45.6% |
Disgusted | 45.2% |
Confused | 45.6% |
Calm | 49.9% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 54.1% |
Sad | 45.9% |
Confused | 45.5% |
Disgusted | 45.9% |
Surprised | 45.4% |
Angry | 45.3% |
Happy | 47.3% |
Calm | 49.8% |

AWS Rekognition
Age | 45-63 |
Gender | Female, 52.5% |
Angry | 45.5% |
Surprised | 45.5% |
Calm | 49.6% |
Sad | 47.7% |
Confused | 45.4% |
Disgusted | 45.3% |
Happy | 46.1% |

AWS Rekognition
Age | 14-25 |
Gender | Male, 52.6% |
Confused | 45.5% |
Happy | 46% |
Calm | 50.7% |
Disgusted | 45.4% |
Sad | 46.8% |
Angry | 45.4% |
Surprised | 45.3% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.1% |
Happy | 45.6% |
Surprised | 46.4% |
Calm | 48.3% |
Sad | 47.9% |
Disgusted | 45.4% |
Angry | 45.6% |
Confused | 45.8% |
Feature analysis
Categories
Imagga
paintings art | 96.3% | |
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streetview architecture | 2.1% | |
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Captions
Microsoft
created on 2019-06-01
a vintage photo of a group of people posing for the camera | 84.5% | |
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a vintage photo of a group of people posing for a picture | 84.4% | |
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a vintage photo of a group of people posing for a photo | 82.6% | |
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