Machine Generated Data
Tags
Amazon
created on 2022-01-09
Apparel | 99.9 | |
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Clothing | 99.9 | |
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Human | 99.5 | |
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Person | 99.5 | |
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Person | 99.3 | |
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Furniture | 98.3 | |
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Suit | 98.1 | |
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Coat | 98.1 | |
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Overcoat | 98.1 | |
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Chair | 93.2 | |
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Couch | 91.1 | |
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Pillow | 88.3 | |
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Cushion | 88.3 | |
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Robe | 88 | |
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Fashion | 88 | |
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Gown | 87.7 | |
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Female | 82 | |
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Shirt | 81.6 | |
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Food | 81 | |
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Meal | 81 | |
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Wedding | 79.9 | |
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Tuxedo | 79.8 | |
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Plant | 77.8 | |
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Bridegroom | 74.9 | |
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Bookcase | 73.5 | |
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Wedding Gown | 72.9 | |
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Shelf | 71.5 | |
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Dish | 71 | |
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Table | 70.5 | |
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Face | 70.5 | |
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Woman | 68.6 | |
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Indoors | 68.1 | |
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Dress | 65.9 | |
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Man | 65.8 | |
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Flower | 63.3 | |
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Blossom | 63.3 | |
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Photography | 60.5 | |
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Photo | 60.5 | |
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Living Room | 60.2 | |
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Room | 60.2 | |
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Bride | 59.6 | |
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Flower Arrangement | 58.1 | |
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Long Sleeve | 58 | |
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Sleeve | 58 | |
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Tie | 56.5 | |
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Accessories | 56.5 | |
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Accessory | 56.5 | |
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Clarifai
created on 2023-10-25
people | 99.8 | |
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adult | 99.1 | |
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group | 98.4 | |
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monochrome | 96.4 | |
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man | 95.6 | |
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wear | 92.2 | |
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two | 90.7 | |
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leader | 89.6 | |
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portrait | 89.2 | |
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several | 88.3 | |
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scientist | 88 | |
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woman | 87.9 | |
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administration | 87.8 | |
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one | 86.5 | |
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music | 86.2 | |
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facial expression | 85.6 | |
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group together | 85.2 | |
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furniture | 85.1 | |
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many | 84.5 | |
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boxer | 84.2 | |
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Imagga
created on 2022-01-09
Google
created on 2022-01-09
Smile | 95.6 | |
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Black | 89.6 | |
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Shelf | 86.2 | |
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Picture frame | 86 | |
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Black-and-white | 85.3 | |
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Style | 83.8 | |
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Font | 80.7 | |
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Art | 79.9 | |
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Adaptation | 79.4 | |
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Bookcase | 78.1 | |
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Monochrome photography | 73.4 | |
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Hat | 73.3 | |
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Monochrome | 72.3 | |
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Vintage clothing | 71.4 | |
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Event | 70.8 | |
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Room | 70.1 | |
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Publication | 66.9 | |
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Photo caption | 66 | |
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Tie | 65.2 | |
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Sitting | 64.8 | |
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Microsoft
created on 2022-01-09
text | 99.9 | |
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person | 89.7 | |
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human face | 87.8 | |
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black and white | 86.2 | |
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drawing | 83.7 | |
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clothing | 81.2 | |
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book | 80.3 | |
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cartoon | 77.3 | |
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sketch | 57.9 | |
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shelf | 52 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 48-54 |
Gender | Male, 92.9% |
Happy | 97.3% |
Surprised | 1.4% |
Sad | 0.5% |
Calm | 0.4% |
Confused | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Angry | 0.1% |
AWS Rekognition
Age | 27-37 |
Gender | Female, 99.4% |
Happy | 90% |
Surprised | 3.3% |
Calm | 3.3% |
Confused | 1.3% |
Fear | 0.9% |
Disgusted | 0.7% |
Sad | 0.3% |
Angry | 0.2% |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Text analysis
Amazon
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12222 SAN
CILBERT
Suremia
SAN
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