Machine Generated Data
Tags
Amazon
created on 2023-10-25
Adult | 98.5 | |
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Bride | 98.5 | |
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Female | 98.5 | |
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Person | 98.5 | |
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Wedding | 98.5 | |
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Woman | 98.5 | |
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Adult | 98.3 | |
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Person | 98.3 | |
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Male | 98.3 | |
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Man | 98.3 | |
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Outdoors | 97.6 | |
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Nature | 96.9 | |
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Face | 95.3 | |
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Head | 95.3 | |
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Photography | 95.3 | |
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Portrait | 95.3 | |
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Person | 90.5 | |
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Light | 79.3 | |
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Window | 70.6 | |
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Accessories | 67.6 | |
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Goggles | 67.6 | |
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Computer Hardware | 57.1 | |
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Electronics | 57.1 | |
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Hardware | 57.1 | |
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Monitor | 57.1 | |
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Screen | 57.1 | |
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Snow | 56.7 | |
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Body Part | 56 | |
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Torso | 56 | |
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Alien | 56 | |
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Traffic Light | 55.9 | |
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Cross | 55.7 | |
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Symbol | 55.7 | |
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Night | 55.6 | |
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Back | 55.5 | |
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Cinema | 55.3 | |
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Smoke | 55.3 | |
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Lighting | 55.3 | |
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Glasses | 55 | |
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Clarifai
created on 2023-10-15
Imagga
created on 2019-02-01
negative | 72.7 | |
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film | 68.3 | |
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photographic paper | 49.8 | |
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photographic equipment | 33.2 | |
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vessel | 29.3 | |
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tub | 25.9 | |
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body | 25.6 | |
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bathtub | 20.6 | |
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man | 20.2 | |
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portrait | 19.4 | |
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adult | 19.4 | |
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person | 19.2 | |
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human | 18.7 | |
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black | 18 | |
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sexy | 17.7 | |
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lifestyle | 15.9 | |
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male | 15.6 | |
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people | 15.1 | |
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attractive | 14.7 | |
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hair | 14.3 | |
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face | 14.2 | |
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pretty | 14 | |
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healthy | 13.9 | |
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skin | 13.5 | |
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one | 13.4 | |
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bath | 13.3 | |
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health | 12.5 | |
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x-ray film | 12.2 | |
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relaxation | 11.7 | |
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model | 11.7 | |
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wet | 11.6 | |
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bathroom | 11.5 | |
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expression | 11.1 | |
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clean | 10.9 | |
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water | 10.7 | |
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hand | 10.6 | |
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looking | 10.4 | |
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love | 10.3 | |
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happy | 10 | |
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sensuality | 10 | |
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television | 9.8 | |
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bride | 9.6 | |
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eyes | 9.5 | |
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smile | 9.3 | |
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care | 9 | |
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dress | 9 | |
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bridal | 8.8 | |
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brunette | 8.7 | |
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smiling | 8.7 | |
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head | 8.4 | |
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fashion | 8.3 | |
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alone | 8.2 | |
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fitness | 8.1 | |
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spa | 8.1 | |
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light | 8 | |
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car mirror | 8 | |
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women | 7.9 | |
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shower | 7.8 | |
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sad | 7.7 | |
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youth | 7.7 | |
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grunge | 7.7 | |
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relax | 7.6 | |
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strong | 7.5 | |
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future | 7.4 | |
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sport | 7.4 | |
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slim | 7.4 | |
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wedding | 7.4 | |
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mirror | 7.1 | |
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Google
created on 2019-02-01
Photograph | 96.9 | |
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White | 96.3 | |
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Black | 94.5 | |
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Black-and-white | 90.7 | |
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Snapshot | 85.1 | |
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Monochrome photography | 80.4 | |
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Photography | 77 | |
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Room | 65.7 | |
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Monochrome | 60.1 | |
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Square | 59.7 | |
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Stock photography | 59.4 | |
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Style | 51 | |
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Rectangle | 50.5 | |
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Microsoft
created on 2019-02-01
window | 99 | |
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old | 93.2 | |
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monitor | 91 | |
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image | 43.9 | |
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painting | 29.6 | |
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staring | 19.5 | |
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picture frame | 7.7 | |
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television | 5.8 | |
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mirror | 3.3 | |
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black and white | 2.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-31 |
Gender | Female, 99.8% |
Sad | 99.2% |
Calm | 35.7% |
Surprised | 6.4% |
Fear | 6% |
Confused | 1.5% |
Angry | 0.7% |
Happy | 0.3% |
Disgusted | 0.3% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 98.1% |
Calm | 87.1% |
Happy | 10.5% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.4% |
Disgusted | 0.4% |
Confused | 0.3% |
Angry | 0.3% |

Microsoft Cognitive Services
Age | 66 |
Gender | Female |

Microsoft Cognitive Services
Age | 14 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
food drinks | 52.5% | |
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paintings art | 30.4% | |
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interior objects | 15.3% | |
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text visuals | 1.5% | |
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Captions
Microsoft
created on 2019-02-01
an old photo of a man | 76.5% | |
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old photo of a man | 74% | |
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a painting of a man | 67.6% | |
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