Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
fashion | 34.7 | |
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portrait | 29.1 | |
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dress | 28 | |
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person | 26.3 | |
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attractive | 25.9 | |
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adult | 25.7 | |
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sexy | 23.3 | |
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people | 22.9 | |
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lady | 22.7 | |
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model | 22.5 | |
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clothing | 20.8 | |
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outfit | 20.8 | |
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pretty | 19.6 | |
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domestic | 18.9 | |
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hair | 18.2 | |
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interior | 16.8 | |
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elegance | 16.8 | |
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posing | 16 | |
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black | 15.6 | |
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sensual | 15.5 | |
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style | 14.8 | |
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old | 14.6 | |
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sensuality | 14.5 | |
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make | 14.5 | |
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face | 14.2 | |
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wall | 14.1 | |
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bride | 13.4 | |
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vintage | 13.2 | |
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happy | 13.2 | |
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brunette | 12.2 | |
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clothes | 12.2 | |
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human | 12 | |
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skin | 11.8 | |
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groom | 11.4 | |
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blond | 11.2 | |
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looking | 11.2 | |
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wedding | 11 | |
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gown | 10.8 | |
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male | 10.8 | |
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cute | 10.8 | |
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seductive | 10.5 | |
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one | 10.4 | |
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standing | 10.4 | |
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garment | 10.3 | |
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luxury | 10.3 | |
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love | 10.3 | |
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culture | 10.3 | |
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room | 9.6 | |
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costume | 9.5 | |
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hairstyle | 9.5 | |
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bouquet | 9.4 | |
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elegant | 9.4 | |
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man | 9.4 | |
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alone | 9.1 | |
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holding | 9.1 | |
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retro | 9 | |
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indoors | 8.8 | |
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couple | 8.7 | |
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lifestyle | 8.7 | |
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ancient | 8.6 | |
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eyes | 8.6 | |
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smile | 8.6 | |
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color | 8.3 | |
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traditional | 8.3 | |
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door | 8.2 | |
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gorgeous | 8.2 | |
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lovely | 8 | |
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women | 7.9 | |
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look | 7.9 | |
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men | 7.7 | |
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lingerie | 7.7 | |
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window | 7.3 | |
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kimono | 7.3 | |
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crutch | 7.3 | |
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pose | 7.2 | |
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building | 7.2 | |
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stylish | 7.2 | |
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body | 7.2 | |
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home | 7.2 | |
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art | 7.2 | |
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history | 7.2 | |
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happiness | 7.1 | |
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Google
created on 2022-01-22
Sleeve | 86.8 | |
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Dress | 83.8 | |
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Plant | 81.3 | |
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Art | 80.1 | |
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Tints and shades | 76.8 | |
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Waist | 72 | |
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Vintage clothing | 71.6 | |
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One-piece garment | 71.1 | |
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Monochrome photography | 69.8 | |
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Fashion design | 69.2 | |
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Room | 69.1 | |
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Painting | 68.3 | |
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Monochrome | 68.1 | |
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Curtain | 67.9 | |
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Visual arts | 66.8 | |
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Stock photography | 64.1 | |
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Knee | 59.2 | |
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Picture frame | 56.2 | |
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Portrait | 54.3 | |
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Retro style | 53.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 52-60 |
Gender | Female, 100% |
Calm | 61% |
Happy | 32.2% |
Confused | 3% |
Angry | 1% |
Sad | 1% |
Surprised | 0.8% |
Disgusted | 0.8% |
Fear | 0.2% |
Microsoft Cognitive Services
Age | 51 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Likely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 98.2% | |
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