Machine Generated Data
Tags
Amazon
created on 2023-10-06
Play | 99.9 | |
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Boy | 99.2 | |
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Child | 99.2 | |
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Male | 99.2 | |
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Person | 99.2 | |
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Male | 99.1 | |
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Person | 99.1 | |
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Adult | 99.1 | |
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Man | 99.1 | |
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Male | 98.6 | |
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Person | 98.6 | |
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Adult | 98.6 | |
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Man | 98.6 | |
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Amusement Park | 96.7 | |
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Person | 95.7 | |
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Adult | 95.7 | |
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Bride | 95.7 | |
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Female | 95.7 | |
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Wedding | 95.7 | |
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Woman | 95.7 | |
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Clothing | 93.2 | |
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Footwear | 93.2 | |
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Shoe | 93.2 | |
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Carousel | 93.1 | |
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Person | 90.4 | |
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Person | 87.1 | |
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Shorts | 82.7 | |
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Hat | 80.1 | |
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Person | 78.4 | |
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Face | 77.7 | |
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Head | 77.7 | |
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Person | 74.8 | |
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Fun | 70.3 | |
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Theme Park | 70.3 | |
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Person | 62.5 | |
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Pants | 61.3 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-06
passenger | 36.8 | |
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industry | 22.2 | |
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people | 19.5 | |
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man | 18.8 | |
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industrial | 18.1 | |
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transportation | 16.1 | |
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city | 15.8 | |
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work | 15.7 | |
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equipment | 15.2 | |
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men | 14.6 | |
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business | 14.6 | |
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transport | 13.7 | |
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adult | 13.6 | |
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gate | 12.9 | |
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construction | 12.8 | |
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vehicle | 12.5 | |
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train | 12.4 | |
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steel | 12.4 | |
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factory | 12 | |
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building | 11.6 | |
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male | 11.4 | |
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urban | 11.4 | |
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conveyance | 11.3 | |
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travel | 11.3 | |
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worker | 10.8 | |
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interior | 10.6 | |
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turnstile | 10.2 | |
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wheeled vehicle | 10.2 | |
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station | 10.2 | |
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street | 10.1 | |
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power | 10.1 | |
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window | 9.5 | |
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architecture | 9.4 | |
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person | 9.4 | |
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safety | 9.2 | |
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indoor | 9.1 | |
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metal | 8.8 | |
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office | 8.8 | |
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helmet | 8.8 | |
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occupation | 8.2 | |
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shop | 8.2 | |
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activity | 8.1 | |
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machine | 8 | |
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job | 8 | |
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indoors | 7.9 | |
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fuel | 7.7 | |
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modern | 7.7 | |
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old | 7.7 | |
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two | 7.6 | |
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inside | 7.4 | |
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light | 7.3 | |
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life | 7.3 | |
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color | 7.2 | |
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Google
created on 2018-05-11
photograph | 95.4 | |
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black and white | 88 | |
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snapshot | 81.8 | |
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photography | 78.8 | |
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monochrome photography | 74.1 | |
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vehicle | 70.7 | |
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monochrome | 66.7 | |
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car | 66.7 | |
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street | 59.4 | |
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recreation | 57.9 | |
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vintage clothing | 57 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 19-27 |
Gender | Male, 99.6% |
Calm | 93.3% |
Surprised | 6.4% |
Fear | 6% |
Sad | 3.5% |
Confused | 2% |
Angry | 0.2% |
Disgusted | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 54-62 |
Gender | Male, 100% |
Angry | 59.6% |
Calm | 37.6% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 1.9% |
Disgusted | 0.2% |
Happy | 0.2% |

Microsoft Cognitive Services
Age | 21 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Boy
Child
Male
Person
Adult
Man
Bride
Female
Woman
Shoe
Categories
Imagga
people portraits | 78.4% | |
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paintings art | 18.5% | |
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pets animals | 1.6% | |
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Captions
Microsoft
created on 2018-05-11
a group of people standing in front of a store | 96.1% | |
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a group of people standing in front of a building | 96% | |
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a group of people standing outside of a store | 95.9% | |
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