Machine Generated Data
Tags
Amazon
created on 2022-01-09
Dress | 100 | |
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Clothing | 100 | |
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Apparel | 100 | |
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Human | 99.9 | |
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Female | 99.9 | |
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Face | 99.8 | |
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Person | 99 | |
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Woman | 98.2 | |
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Plant | 97.6 | |
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Girl | 93.6 | |
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Smile | 92.5 | |
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Blonde | 90.8 | |
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Kid | 90.8 | |
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Teen | 90.8 | |
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Child | 90.8 | |
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Flower | 86.9 | |
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Blossom | 86.9 | |
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Portrait | 83.4 | |
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Photography | 83.4 | |
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Photo | 83.4 | |
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Tree | 82.8 | |
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Petal | 77 | |
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Advertisement | 67.5 | |
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Poster | 67.5 | |
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Canine | 66.3 | |
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Animal | 66.3 | |
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Mammal | 66.3 | |
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Vegetation | 62.4 | |
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Lady | 61.7 | |
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Pet | 61 | |
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Laughing | 56.3 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
Google
created on 2022-01-09
Photograph | 94.2 | |
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Black | 89.7 | |
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Human body | 88.5 | |
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Textile | 87.3 | |
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Black-and-white | 86.3 | |
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Waist | 85.1 | |
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Style | 84 | |
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Plant | 83.7 | |
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Art | 78.8 | |
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Trunk | 78.3 | |
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Tints and shades | 77.4 | |
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Monochrome | 76.2 | |
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Pattern | 74.6 | |
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Monochrome photography | 74.5 | |
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Eyewear | 72.5 | |
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T-shirt | 72.2 | |
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Vintage clothing | 71.6 | |
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Abdomen | 69.3 | |
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Fashion design | 68.3 | |
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Formal wear | 67.4 | |
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Microsoft
created on 2022-01-09
text | 97.5 | |
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clothing | 84.3 | |
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smile | 82.2 | |
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person | 80.2 | |
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human face | 79.2 | |
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black and white | 79 | |
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woman | 73.4 | |
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black | 67.6 | |
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posing | 53.8 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18789926/364,239,116,147/full/0/native.jpg)
AWS Rekognition
Age | 33-41 |
Gender | Female, 96% |
Happy | 92.1% |
Calm | 5.4% |
Surprised | 1.9% |
Disgusted | 0.2% |
Confused | 0.2% |
Sad | 0.1% |
Angry | 0.1% |
Fear | 0.1% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18789926/231,198,403,777/full/0/native.jpg)
Person | 99% | |
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Categories
Imagga
paintings art | 92.2% | |
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streetview architecture | 3.1% | |
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people portraits | 1.9% | |
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Captions
Microsoft
created on 2022-01-09
a person posing for a photo | 77.9% | |
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a person standing in front of a window | 57.9% | |
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a girl posing for a photo | 56.6% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18789926/7,475,17,107/full/0/native.jpg)
АТОРАЯД?
![](https://ids.lib.harvard.edu/ids/iiif/18789926/770,646,40,136/full/0/native.jpg)
2/Mole
![](https://ids.lib.harvard.edu/ids/iiif/18789926/10,768,30,173/full/0/native.jpg)
.PaziN
![](https://ids.lib.harvard.edu/ids/iiif/18789926/6,374,18,208/full/0/native.jpg)
AUISOR АТОРАЯД?
![](https://ids.lib.harvard.edu/ids/iiif/18789926/7,374,14,84/full/0/native.jpg)
AUISOR
![](https://ids.lib.harvard.edu/ids/iiif/18789926/8,862,36,45/full/0/native.jpg)
そ
![](https://ids.lib.harvard.edu/ids/iiif/18789926/9,376,16,86/full/0/native.jpg)
AI9OE
![](https://ids.lib.harvard.edu/ids/iiif/18789926/9,596,21,114/full/0/native.jpg)
STAMMIET2
![](https://ids.lib.harvard.edu/ids/iiif/18789926/7,4,633,903/full/0/native.jpg)
--YTヨ3A°2 --AG
eaそ
AI9OE ATOZAGA2 STAMMIET2
![](https://ids.lib.harvard.edu/ids/iiif/18789926/448,4,60,22/full/0/native.jpg)
--YT
![](https://ids.lib.harvard.edu/ids/iiif/18789926/505,4,18,22/full/0/native.jpg)
ヨ
![](https://ids.lib.harvard.edu/ids/iiif/18789926/520,4,27,22/full/0/native.jpg)
3A
![](https://ids.lib.harvard.edu/ids/iiif/18789926/544,4,9,22/full/0/native.jpg)
°
![](https://ids.lib.harvard.edu/ids/iiif/18789926/550,4,9,22/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/18789926/565,4,75,22/full/0/native.jpg)
--AG
![](https://ids.lib.harvard.edu/ids/iiif/18789926/8,770,36,95/full/0/native.jpg)
ea
![](https://ids.lib.harvard.edu/ids/iiif/18789926/9,477,19,110/full/0/native.jpg)
ATOZAGA2