Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clothing | 100 | |
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Hat | 100 | |
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Face | 99.9 | |
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Head | 99.9 | |
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Photography | 99.9 | |
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Portrait | 99.9 | |
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Person | 99.4 | |
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Boy | 99.4 | |
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Child | 99.4 | |
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Male | 99.4 | |
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Person | 98.9 | |
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Baby | 98.9 | |
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Cap | 97.8 | |
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Outdoors | 93.3 | |
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Bonnet | 84.3 | |
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Sun Hat | 80.1 | |
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Wood | 77 | |
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Countryside | 75.6 | |
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Nature | 75.6 | |
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Door | 74.7 | |
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People | 67.6 | |
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Baseball Cap | 63.4 | |
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Architecture | 57.7 | |
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Building | 57.7 | |
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Hut | 57.7 | |
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Rural | 57.7 | |
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Body Part | 55.2 | |
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Neck | 55.2 | |
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Dress | 55.1 | |
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Lady | 55.1 | |
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Housing | 55 | |
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Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
cowboy hat | 72.9 | |
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hat | 62.1 | |
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headdress | 44.6 | |
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clothing | 30.4 | |
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old | 19.5 | |
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building | 19.1 | |
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man | 17.5 | |
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person | 17.3 | |
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covering | 17 | |
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wall | 16.2 | |
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door | 15.9 | |
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people | 15.6 | |
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adult | 15.5 | |
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consumer goods | 15.3 | |
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portrait | 14.2 | |
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house | 14.2 | |
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window | 14.2 | |
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male | 13.7 | |
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fashion | 13.6 | |
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attractive | 12.6 | |
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ancient | 12.1 | |
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sexy | 12 | |
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happy | 11.9 | |
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architecture | 11.7 | |
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wood | 11.7 | |
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posing | 11.5 | |
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home | 11.2 | |
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model | 10.9 | |
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one | 10.4 | |
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men | 10.3 | |
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lifestyle | 10.1 | |
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face | 9.9 | |
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dirty | 9.9 | |
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pretty | 9.8 | |
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lady | 9.7 | |
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hair | 9.5 | |
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construction | 9.4 | |
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city | 9.1 | |
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alone | 9.1 | |
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human | 9 | |
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body | 8.8 | |
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wooden | 8.8 | |
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brick | 8.8 | |
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urban | 8.7 | |
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stone | 8.4 | |
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black | 8.4 | |
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outdoor | 8.4 | |
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emotion | 8.3 | |
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street | 8.3 | |
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occupation | 8.2 | |
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looking | 8 | |
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entrance | 7.7 | |
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elegant | 7.7 | |
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dark | 7.5 | |
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vintage | 7.4 | |
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exterior | 7.4 | |
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water | 7.3 | |
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sensuality | 7.3 | |
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industrial | 7.3 | |
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metal | 7.2 | |
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job | 7.1 | |
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Google
created on 2018-05-10
photograph | 96.2 | |
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black and white | 90.4 | |
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standing | 87.9 | |
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snapshot | 81.8 | |
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photography | 80.1 | |
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male | 80.1 | |
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monochrome photography | 78.6 | |
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monochrome | 65.7 | |
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vintage clothing | 65.5 | |
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window | 52.8 | |
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girl | 51.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 6-12 |
Gender | Male, 88.5% |
Calm | 95.3% |
Surprised | 6.5% |
Fear | 6.1% |
Sad | 2.9% |
Confused | 0.6% |
Disgusted | 0.3% |
Angry | 0.2% |
Happy | 0.2% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 90.3% |
Confused | 59.1% |
Calm | 22.4% |
Fear | 9.4% |
Surprised | 8.3% |
Sad | 4.2% |
Angry | 0.9% |
Happy | 0.8% |
Disgusted | 0.7% |

Microsoft Cognitive Services
Age | 30 |
Gender | Female |

Microsoft Cognitive Services
Age | 36 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | 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 likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 83.8% | |
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paintings art | 8.7% | |
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streetview architecture | 3.3% | |
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pets animals | 2.5% | |
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Captions
Microsoft
created on 2018-05-10
a man and a woman posing for a photo | 45.6% | |
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a person posing for a photo | 45.5% | |
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a person posing for the camera | 45.4% | |
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