Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
person | 32.8 | |
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portrait | 31.1 | |
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fashion | 25.6 | |
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grandma | 24.9 | |
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people | 24.5 | |
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attractive | 23.1 | |
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model | 22.6 | |
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adult | 22.3 | |
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black | 20.6 | |
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man | 20.2 | |
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clothing | 19.8 | |
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lady | 19.5 | |
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male | 18.5 | |
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face | 18.5 | |
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dress | 18.1 | |
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lifestyle | 18.1 | |
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pretty | 17.5 | |
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standing | 17.4 | |
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sexy | 16.9 | |
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style | 16.3 | |
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happy | 16.3 | |
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garment | 15.3 | |
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blond | 14.6 | |
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smile | 14.3 | |
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casual | 13.6 | |
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hair | 13.5 | |
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smiling | 13 | |
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shirt | 12.8 | |
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looking | 12.8 | |
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posing | 12.4 | |
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cute | 12.2 | |
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jersey | 12 | |
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one | 11.9 | |
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love | 11.8 | |
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clothes | 11.2 | |
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adolescent | 10.9 | |
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handsome | 10.7 | |
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old | 10.5 | |
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body | 10.4 | |
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youth | 10.2 | |
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happiness | 10.2 | |
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mother | 10.1 | |
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outfit | 10.1 | |
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make | 10 | |
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lovely | 9.8 | |
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human | 9.8 | |
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brunette | 9.6 | |
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couple | 9.6 | |
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eyes | 9.5 | |
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sensual | 9.1 | |
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outdoors | 9 | |
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vertical | 8.7 | |
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women | 8.7 | |
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bride | 8.6 | |
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luxury | 8.6 | |
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elegant | 8.6 | |
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wall | 8.6 | |
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juvenile | 8.5 | |
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dark | 8.4 | |
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wedding | 8.3 | |
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holding | 8.3 | |
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alone | 8.2 | |
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gorgeous | 8.2 | |
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pose | 8.2 | |
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stylish | 8.1 | |
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jacket | 8 | |
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bow tie | 8 | |
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urban | 7.9 | |
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expression | 7.7 | |
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studio | 7.6 | |
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hand | 7.6 | |
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vintage | 7.4 | |
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retro | 7.4 | |
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elevator | 7.3 | |
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business | 7.3 | |
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guy | 7.3 | |
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color | 7.2 | |
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romantic | 7.1 | |
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interior | 7.1 | |
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modern | 7 | |
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Google
created on 2022-01-22
Sleeve | 87.2 | |
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Collar | 84.1 | |
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Beard | 83.2 | |
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Fashion design | 81.1 | |
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Street fashion | 80 | |
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Blazer | 78.3 | |
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Formal wear | 77.9 | |
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Facial hair | 73.8 | |
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Vintage clothing | 73.6 | |
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Waist | 73 | |
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Pattern | 71.4 | |
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Jewellery | 70.4 | |
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Monochrome photography | 70 | |
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Monochrome | 69.7 | |
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Art | 68.5 | |
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Visual arts | 67.7 | |
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Moustache | 67.4 | |
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Fur | 66.9 | |
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Room | 61.5 | |
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History | 61.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/18825763/351,139,110,164/full/0/native.jpg)
AWS Rekognition
Age | 58-66 |
Gender | Male, 100% |
Calm | 97.8% |
Confused | 0.8% |
Happy | 0.5% |
Angry | 0.2% |
Sad | 0.2% |
Surprised | 0.2% |
Fear | 0.2% |
Disgusted | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18825763/359,177,113,113/full/0/native.jpg)
Microsoft Cognitive Services
Age | 54 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/18825763/320,110,173,201/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18825763/151,124,421,865/full/0/native.jpg)
Person | 99.5% | |
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Categories
Imagga
paintings art | 98.8% | |
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streetview architecture | 1.2% | |
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Captions
Microsoft
created on 2022-01-22
a person standing posing for the camera | 93.5% | |
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a person posing for the camera | 93.4% | |
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a person standing next to a suitcase | 66.9% | |
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