Machine Generated Data
Tags
Amazon
created on 2023-10-23
Photography | 100 | |
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Adult | 99.4 | |
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Male | 99.4 | |
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Man | 99.4 | |
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Person | 99.4 | |
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Adult | 98.5 | |
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Male | 98.5 | |
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Man | 98.5 | |
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Person | 98.5 | |
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Face | 97.9 | |
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Head | 97.9 | |
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Portrait | 97.9 | |
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Adult | 97.8 | |
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Person | 97.8 | |
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Bride | 97.8 | |
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Female | 97.8 | |
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Wedding | 97.8 | |
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Woman | 97.8 | |
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Cup | 95.1 | |
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Accessories | 92.7 | |
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Jewelry | 92.7 | |
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Necklace | 92.7 | |
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Wristwatch | 90.5 | |
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Indoors | 84.8 | |
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Smoke | 82.4 | |
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Body Part | 76.9 | |
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Finger | 76.9 | |
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Hand | 76.9 | |
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Restaurant | 76 | |
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Computer Hardware | 74.5 | |
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Electronics | 74.5 | |
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Hardware | 74.5 | |
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Monitor | 74.5 | |
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Screen | 74.5 | |
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Furniture | 60.8 | |
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Couch | 60.4 | |
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Art | 60.3 | |
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Collage | 60.3 | |
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Architecture | 57.7 | |
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Building | 57.7 | |
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Dining Room | 57.7 | |
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Dining Table | 57.7 | |
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Room | 57.7 | |
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Table | 57.7 | |
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Living Room | 56.3 | |
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Food | 56.2 | |
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Cafe | 55.8 | |
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Sitting | 55.7 | |
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Meal | 55.2 | |
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Clarifai
created on 2023-10-15
negative | 100 | |
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movie | 100 | |
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filmstrip | 100 | |
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cinematography | 100 | |
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exposed | 99.9 | |
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bobbin | 99.8 | |
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slide | 99.8 | |
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photograph | 99.7 | |
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video | 98.9 | |
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emulsion | 98.9 | |
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monochrome | 98.6 | |
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noisy | 97.5 | |
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projection | 97.1 | |
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retro | 97 | |
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people | 96.7 | |
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film director | 96.3 | |
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video recording | 95.5 | |
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tape | 95.4 | |
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man | 95.2 | |
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woman | 95.2 | |
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Imagga
created on 2019-01-30
Google
created on 2019-01-30
Photographic film | 97.5 | |
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Photograph | 97.5 | |
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Negative | 87.2 | |
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Snapshot | 86.4 | |
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Photography | 80.2 | |
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Photographic paper | 74.1 | |
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Camera accessory | 67.7 | |
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Stock photography | 59.4 | |
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Black-and-white | 56.4 | |
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Picture frame | 51.3 | |
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Microsoft
created on 2019-01-30
person | 91.2 | |
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man | 91 | |
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black and white | 29.3 | |
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music | 15 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 40-48 |
Gender | Female, 99.9% |
Happy | 62.4% |
Calm | 17.8% |
Sad | 8.6% |
Surprised | 7.9% |
Fear | 6.6% |
Confused | 1.7% |
Angry | 1.7% |
Disgusted | 1.4% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 99.9% |
Calm | 98.1% |
Surprised | 6.7% |
Fear | 5.9% |
Sad | 2.2% |
Happy | 0.7% |
Disgusted | 0.1% |
Confused | 0.1% |
Angry | 0% |

AWS Rekognition
Age | 12-20 |
Gender | Female, 83.8% |
Sad | 99.6% |
Calm | 22.2% |
Surprised | 8.9% |
Fear | 6.1% |
Happy | 4.2% |
Confused | 1% |
Disgusted | 0.7% |
Angry | 0.7% |

Microsoft Cognitive Services
Age | 50 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 76.5% | |
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paintings art | 22.9% | |
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Captions
Microsoft
created on 2019-01-30
a man sitting in front of a window | 75% | |
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a man sitting at a train station | 63.4% | |
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a man sitting on a train | 48.2% | |
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Text analysis
Amazon

SI