Machine Generated Data
Tags
Amazon
created on 2019-11-16
Clothing | 99 | |
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Apparel | 99 | |
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Person | 97.6 | |
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Human | 97.6 | |
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Sleeve | 89.5 | |
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Room | 83.9 | |
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Indoors | 83.9 | |
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Female | 79.1 | |
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Gown | 72.6 | |
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Robe | 72.6 | |
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Fashion | 72.6 | |
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Evening Dress | 72.6 | |
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Home Decor | 68.2 | |
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Face | 67.3 | |
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Long Sleeve | 67 | |
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Door | 66.4 | |
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Woman | 65.4 | |
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Coat | 60.1 | |
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Overcoat | 60.1 | |
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Floor | 59.5 | |
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Furniture | 58.2 | |
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Couch | 58.2 | |
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Photo | 57.5 | |
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Photography | 57.5 | |
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Living Room | 57.5 | |
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Dressing Room | 56.1 | |
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Skin | 55.9 | |
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Suit | 55.4 | |
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Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
Google
created on 2019-11-16
Photograph | 95.7 | |
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Black-and-white | 85.4 | |
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Photography | 74.8 | |
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Room | 71.4 | |
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Monochrome | 70.2 | |
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Monochrome photography | 64.7 | |
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Stock photography | 64 | |
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Portrait | 62.5 | |
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Gentleman | 61.7 | |
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Style | 59 | |
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Microsoft
created on 2019-11-16
human face | 92.6 | |
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smile | 91.5 | |
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clothing | 91.2 | |
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person | 88.6 | |
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woman | 80 | |
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black and white | 71.3 | |
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text | 60.6 | |
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dress | 59.9 | |
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posing | 35.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 27-43 |
Gender | Female, 97.1% |
Sad | 0.1% |
Disgusted | 0.4% |
Confused | 0.9% |
Surprised | 1.7% |
Happy | 95% |
Fear | 0.9% |
Angry | 0.8% |
Calm | 0.2% |

Microsoft Cognitive Services
Age | 38 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon

Person | 97.6% | |
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Categories
Imagga
interior objects | 50.3% | |
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streetview architecture | 29.6% | |
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paintings art | 11.6% | |
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people portraits | 4.3% | |
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events parties | 2.1% | |
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text visuals | 1% | |
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