Machine Generated Data
Tags
Amazon
created on 2022-03-05
Clarifai
created on 2023-10-22
Imagga
created on 2022-03-05
musical instrument | 61.3 | |
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accordion | 48.8 | |
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keyboard instrument | 39 | |
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wind instrument | 37.6 | |
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person | 31.9 | |
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dancer | 30.7 | |
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performer | 28.8 | |
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adult | 23.9 | |
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man | 21.5 | |
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people | 20.6 | |
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male | 18.5 | |
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silhouette | 17.4 | |
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entertainer | 17.3 | |
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sport | 17.1 | |
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posing | 15.1 | |
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fashion | 15.1 | |
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black | 15 | |
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model | 14.8 | |
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dark | 14.2 | |
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exercise | 13.6 | |
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fitness | 13.6 | |
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couple | 13.1 | |
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lifestyle | 13 | |
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action | 13 | |
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sexy | 12.8 | |
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one | 12.7 | |
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attractive | 12.6 | |
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city | 12.5 | |
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leisure | 12.5 | |
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urban | 12.2 | |
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boy | 12.2 | |
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lady | 12.2 | |
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body | 12 | |
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pretty | 11.9 | |
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active | 11.7 | |
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motion | 11.1 | |
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portrait | 11 | |
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dress | 10.8 | |
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sunset | 10.8 | |
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happy | 10.7 | |
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run | 10.6 | |
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style | 10.4 | |
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hair | 10.3 | |
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outside | 10.3 | |
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pose | 10 | |
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outdoor | 9.9 | |
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dance | 9.9 | |
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modern | 9.8 | |
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performance | 9.6 | |
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athlete | 9.5 | |
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sensual | 9.1 | |
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cool | 8.9 | |
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dancing | 8.7 | |
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sitting | 8.6 | |
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men | 8.6 | |
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guy | 8.5 | |
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elegance | 8.4 | |
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health | 8.3 | |
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human | 8.2 | |
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teenager | 8.2 | |
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dirty | 8.1 | |
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activity | 8.1 | |
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sun | 8 | |
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water | 8 | |
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women | 7.9 | |
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youth | 7.7 | |
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moving | 7.6 | |
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casual | 7.6 | |
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walk | 7.6 | |
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walking | 7.6 | |
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legs | 7.5 | |
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fun | 7.5 | |
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outdoors | 7.5 | |
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training | 7.4 | |
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competition | 7.3 | |
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equipment | 7.3 | |
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sensuality | 7.3 | |
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summer | 7.1 | |
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day | 7.1 | |
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clothing | 7 | |
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together | 7 | |
|
Google
created on 2022-03-05
Black | 89.6 | |
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Dance | 87.8 | |
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Window | 86.7 | |
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Picture frame | 85.9 | |
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Entertainment | 84.7 | |
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Black-and-white | 84.1 | |
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Style | 83.9 | |
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Art | 82.1 | |
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Performing arts | 81.7 | |
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Monochrome photography | 75.5 | |
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Monochrome | 74.7 | |
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Event | 73.5 | |
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Choreography | 70.1 | |
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Illustration | 67.4 | |
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Painting | 67.1 | |
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Happy | 66.5 | |
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Vintage clothing | 64.3 | |
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Stock photography | 64.2 | |
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Visual arts | 64.1 | |
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Room | 64 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 34-42 |
Gender | Male, 83.3% |
Calm | 95% |
Sad | 3.2% |
Confused | 1% |
Surprised | 0.2% |
Happy | 0.2% |
Disgusted | 0.2% |
Fear | 0.2% |
Angry | 0.1% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 94.8% | |
| ||
streetview architecture | 1.9% | |
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paintings art | 1.8% | |
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Captions
Microsoft
created on 2022-03-05
a group of people standing in front of a window | 64.1% | |
| ||
a group of people standing in front of a building | 64% | |
| ||
a group of people in front of a window | 60.2% | |
|
Text analysis
Amazon

2

YT37A°2-XAGON

YT37A°2-XAGON