Machine Generated Data
Tags
Amazon
created on 2019-11-16
Clothing | 97.9 | |
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Apparel | 97.9 | |
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Human | 96 | |
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Person | 96 | |
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Dress | 95.1 | |
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Person | 94.9 | |
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Evening Dress | 85 | |
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Fashion | 85 | |
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Gown | 85 | |
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Robe | 85 | |
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Female | 82.3 | |
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Costume | 72 | |
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Girl | 69 | |
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People | 66.4 | |
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Person | 65.5 | |
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Photography | 64.1 | |
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Face | 64.1 | |
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Photo | 64.1 | |
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Portrait | 64.1 | |
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Leisure Activities | 62.9 | |
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Woman | 59 | |
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Door | 58 | |
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Dance Pose | 57.3 | |
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Electronics | 56 | |
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Monitor | 56 | |
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Screen | 56 | |
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Display | 56 | |
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Finger | 55.4 | |
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Indoors | 55 | |
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Room | 55 | |
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Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
Google
created on 2019-11-16
Photograph | 97.1 | |
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White | 95.5 | |
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Black | 95.1 | |
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Lady | 92.1 | |
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Black-and-white | 90.7 | |
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Snapshot | 87.4 | |
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Standing | 80.9 | |
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Photography | 79.7 | |
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Fashion | 77.7 | |
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Room | 74.4 | |
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Stock photography | 72.8 | |
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Monochrome photography | 69.6 | |
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Retro style | 68 | |
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Dress | 67.7 | |
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Monochrome | 67.6 | |
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Portrait | 65.9 | |
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Vintage clothing | 59 | |
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Picture frame | 55.8 | |
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Style | 55.5 | |
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Child | 52 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 30-46 |
Gender | Female, 98.2% |
Calm | 64.6% |
Disgusted | 0.7% |
Surprised | 0.6% |
Sad | 4.1% |
Fear | 0.6% |
Happy | 1% |
Angry | 14.8% |
Confused | 13.5% |
Microsoft Cognitive Services
Age | 31 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 96% | |
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Text analysis
-MAMTRA3
-MAMTRA3