Machine Generated Data
Tags
Amazon
created on 2019-06-05
Person | 99.7 | |
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Human | 99.7 | |
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Person | 93.7 | |
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Path | 89.8 | |
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Road | 85.3 | |
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Pedestrian | 76.8 | |
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Urban | 74.3 | |
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Bag | 74.1 | |
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Vehicle | 70.3 | |
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Transportation | 70.3 | |
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Sidewalk | 69.9 | |
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Pavement | 69.9 | |
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Town | 68.8 | |
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Building | 68.8 | |
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City | 68.8 | |
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Street | 68.8 | |
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Walkway | 56.8 | |
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Accessories | 56.5 | |
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Accessory | 56.5 | |
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Handbag | 56.5 | |
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Clothing | 56.1 | |
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Coat | 56.1 | |
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Apparel | 56.1 | |
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Overcoat | 56.1 | |
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Person | 43.9 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
harp | 28.7 | |
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child | 25.1 | |
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musical instrument | 22.2 | |
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stringed instrument | 17.9 | |
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man | 17.5 | |
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ancient | 17.3 | |
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travel | 16.9 | |
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person | 15.7 | |
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architecture | 15.6 | |
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beach | 15.3 | |
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old | 15.3 | |
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sea | 14.9 | |
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pedestrian | 14.8 | |
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vacation | 14.7 | |
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pipe | 14 | |
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people | 13.9 | |
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sand | 13.6 | |
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wind instrument | 13.6 | |
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summer | 13.5 | |
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outdoors | 13.4 | |
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tourist | 12.4 | |
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tourism | 12.4 | |
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couple | 12.2 | |
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building | 12.1 | |
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history | 11.6 | |
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outdoor | 11.5 | |
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adult | 11.1 | |
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stone | 11 | |
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sculpture | 10.5 | |
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swing | 10.5 | |
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holiday | 10 | |
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water | 10 | |
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statue | 9.7 | |
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weapon | 9.6 | |
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sky | 9.6 | |
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wall | 9.4 | |
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lifestyle | 9.4 | |
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snow | 9.4 | |
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two | 9.3 | |
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male | 9.3 | |
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street | 9.2 | |
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city | 9.1 | |
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leisure | 9.1 | |
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dress | 9 | |
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happy | 8.8 | |
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walk | 8.6 | |
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outside | 8.6 | |
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walking | 8.5 | |
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attractive | 8.4 | |
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historic | 8.2 | |
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bow and arrow | 8.2 | |
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sun | 8 | |
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tropical | 7.7 | |
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fashion | 7.5 | |
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relaxation | 7.5 | |
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historical | 7.5 | |
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juvenile | 7.3 | |
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monk | 7.1 | |
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romantic | 7.1 | |
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sunlight | 7.1 | |
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happiness | 7.1 | |
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Google
created on 2019-06-05
Photograph | 97.3 | |
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People | 94.3 | |
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Snapshot | 89.3 | |
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Vintage clothing | 86.5 | |
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Standing | 79.6 | |
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Photography | 62.4 | |
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Stock photography | 62.1 | |
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Retro style | 57 | |
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Black-and-white | 56.4 | |
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Monochrome | 54.4 | |
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Vehicle | 54.4 | |
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Family | 51.8 | |
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Street | 51.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 4-9 |
Gender | Female, 97.2% |
Sad | 90.8% |
Disgusted | 0.6% |
Surprised | 1.5% |
Angry | 2.4% |
Happy | 2% |
Calm | 1.9% |
Confused | 0.9% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 98.2% |
Happy | 0.1% |
Disgusted | 0% |
Sad | 99.2% |
Confused | 0.2% |
Angry | 0.3% |
Surprised | 0.1% |
Calm | 0.2% |

Microsoft Cognitive Services
Age | 4 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 55.6% | |
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streetview architecture | 23.5% | |
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paintings art | 5.6% | |
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events parties | 5% | |
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interior objects | 2.8% | |
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pets animals | 2.6% | |
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beaches seaside | 2.2% | |
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nature landscape | 2.1% | |
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Captions
Microsoft
created on 2019-06-05
Text analysis
Amazon

S s

940

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