Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-22
Imagga
created on 2021-12-14
screw | 29.8 | |
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propeller | 23.5 | |
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black | 21.9 | |
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man | 18.8 | |
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mechanical device | 18.6 | |
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fountain | 18.1 | |
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smoke | 16.7 | |
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structure | 16.3 | |
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portrait | 16.2 | |
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light | 16 | |
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person | 15.2 | |
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umbrella | 14 | |
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sunglass | 14 | |
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car mirror | 13.9 | |
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mechanism | 13.9 | |
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hair | 13.5 | |
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dark | 13.4 | |
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people | 12.3 | |
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face | 12.1 | |
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mirror | 11.6 | |
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adult | 11.6 | |
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pretty | 11.2 | |
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protection | 10.9 | |
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industrial | 10.9 | |
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mask | 10.9 | |
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factory | 10.7 | |
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hand | 10.6 | |
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sexy | 10.4 | |
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rock | 10.4 | |
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sunglasses | 10.4 | |
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negative | 10 | |
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attractive | 9.8 | |
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worker | 9.8 | |
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art | 9.8 | |
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human | 9.7 | |
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one | 9.7 | |
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construction | 9.4 | |
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industry | 9.4 | |
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power | 9.2 | |
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safety | 9.2 | |
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canopy | 9 | |
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steel | 8.8 | |
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protective covering | 8.8 | |
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women | 8.7 | |
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water | 8.7 | |
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device | 8.6 | |
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flame | 8.4 | |
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modern | 8.4 | |
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hot | 8.4 | |
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reflector | 8.3 | |
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occupation | 8.2 | |
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music | 8.1 | |
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metal | 8 | |
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night | 8 | |
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job | 8 | |
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manufacturing | 7.8 | |
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male | 7.8 | |
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film | 7.7 | |
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motion | 7.7 | |
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expression | 7.7 | |
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outdoor | 7.6 | |
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workplace | 7.6 | |
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studio | 7.6 | |
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happy | 7.5 | |
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danger | 7.3 | |
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sun | 7.2 | |
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eye | 7.1 | |
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work | 7.1 | |
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sea | 7 | |
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hat | 7 | |
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sky | 7 | |
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Google
created on 2021-12-14
Black | 89.7 | |
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Human | 89.1 | |
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Organism | 87.3 | |
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Black-and-white | 85.6 | |
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Gesture | 85.3 | |
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Style | 83.8 | |
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Font | 82.1 | |
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Adaptation | 79.4 | |
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Monochrome photography | 75.8 | |
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Monochrome | 73.2 | |
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Rectangle | 71.1 | |
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Hat | 69.4 | |
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Event | 67.5 | |
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Visual arts | 66.6 | |
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Art | 63.9 | |
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Stock photography | 62.4 | |
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Smile | 61.8 | |
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Still life photography | 60.9 | |
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Photographic paper | 60.2 | |
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Glass | 59.7 | |
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Microsoft
created on 2021-12-14
person | 97.2 | |
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text | 95.6 | |
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black and white | 92.2 | |
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human face | 84.4 | |
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monochrome | 79.7 | |
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wedding dress | 77.9 | |
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bride | 57.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 36-54 |
Gender | Female, 92% |
Calm | 41.1% |
Fear | 35.3% |
Sad | 12% |
Surprised | 5.8% |
Happy | 2.7% |
Angry | 1.6% |
Confused | 0.9% |
Disgusted | 0.7% |

AWS Rekognition
Age | 40-58 |
Gender | Female, 60.7% |
Calm | 91.4% |
Sad | 6.7% |
Happy | 0.9% |
Confused | 0.6% |
Angry | 0.3% |
Surprised | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 38-56 |
Gender | Male, 55.4% |
Calm | 75.6% |
Happy | 9.2% |
Sad | 7.6% |
Angry | 3% |
Confused | 1.5% |
Surprised | 1.2% |
Fear | 1.1% |
Disgusted | 0.8% |

AWS Rekognition
Age | 21-33 |
Gender | Male, 87.3% |
Calm | 78.5% |
Happy | 15.7% |
Sad | 3.7% |
Angry | 0.9% |
Fear | 0.9% |
Disgusted | 0.1% |
Surprised | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 28-44 |
Gender | Female, 95.2% |
Calm | 65.5% |
Confused | 17.1% |
Happy | 11.2% |
Sad | 2.6% |
Angry | 1.3% |
Surprised | 1.2% |
Fear | 0.7% |
Disgusted | 0.5% |
Feature analysis
Categories
Imagga
pets animals | 99.4% | |
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Captions
Microsoft
created on 2021-12-14
an old photo of a person | 60.5% | |
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an old photo of a person | 59.6% | |
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old photo of a person | 54.5% | |
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Text analysis
Amazon

V2

C