Machine Generated Data
Tags
Amazon
created on 2021-07-16
Clarifai
created on 2023-10-13
Imagga
created on 2021-07-16
mask | 100 | |
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covering | 92.8 | |
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disguise | 79.3 | |
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attire | 53.6 | |
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clothing | 37.1 | |
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face | 31.9 | |
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bookend | 26.6 | |
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portrait | 20.7 | |
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support | 20.6 | |
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eyes | 18.9 | |
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consumer goods | 18.6 | |
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black | 18 | |
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device | 16 | |
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fashion | 15.1 | |
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mystery | 14.4 | |
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carnival | 13.6 | |
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attractive | 13.3 | |
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person | 13.1 | |
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adult | 12.9 | |
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sexy | 12.8 | |
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art | 12.8 | |
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head | 12.6 | |
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body | 12 | |
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close | 12 | |
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sensual | 11.8 | |
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fantasy | 11.7 | |
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hand | 11.4 | |
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decoration | 11.2 | |
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skin | 10.5 | |
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look | 10.5 | |
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hair | 10.3 | |
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cute | 10 | |
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traditional | 10 | |
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venetian | 9.9 | |
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negative | 9.8 | |
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lady | 9.7 | |
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one | 9.7 | |
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festival | 9.6 | |
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costume | 9.5 | |
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party | 9.5 | |
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luxury | 9.4 | |
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people | 8.9 | |
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masquerade | 8.9 | |
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film | 8.7 | |
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pets | 8.6 | |
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glass | 8.5 | |
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elegance | 8.4 | |
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banking | 8.3 | |
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object | 8.1 | |
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smile | 7.8 | |
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cat | 7.8 | |
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model | 7.8 | |
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mysterious | 7.8 | |
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golden | 7.7 | |
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container | 7.7 | |
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money | 7.7 | |
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painted | 7.6 | |
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design | 7.6 | |
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clean | 7.5 | |
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fun | 7.5 | |
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animals | 7.4 | |
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sensuality | 7.3 | |
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paint | 7.2 | |
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domestic | 7.2 | |
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spa | 7.2 | |
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currency | 7.2 | |
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bank | 7.2 | |
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women | 7.1 | |
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colors | 7 | |
|
Google
created on 2021-07-16
Purple | 89.8 | |
| ||
Paint | 87.6 | |
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Art | 83.5 | |
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Painting | 83 | |
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Violet | 81.5 | |
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Graffiti | 80 | |
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Font | 77.5 | |
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Magenta | 73.2 | |
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Artist | 73 | |
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Drawing | 71.4 | |
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Visual arts | 71.2 | |
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Illustration | 70.7 | |
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Eyelash | 69.1 | |
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Watercolor paint | 68.1 | |
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Rectangle | 67.9 | |
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Poster | 65.4 | |
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Street art | 65.1 | |
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Fictional character | 64.3 | |
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Graphics | 63.7 | |
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Ink | 63.5 | |
|
Microsoft
created on 2021-07-16
drawing | 99.8 | |
| ||
art | 99.6 | |
| ||
sketch | 99 | |
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child art | 98.4 | |
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painting | 97.3 | |
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text | 93.3 | |
| ||
cartoon | 92.8 | |
| ||
graffiti | 89.1 | |
| ||
human face | 81.6 | |
| ||
illustration | 80.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 35-51 |
Gender | Male, 92.1% |
Calm | 75.9% |
Sad | 22.9% |
Happy | 0.7% |
Angry | 0.2% |
Confused | 0.1% |
Fear | 0.1% |
Disgusted | 0% |
Surprised | 0% |
AWS Rekognition
Age | 22-34 |
Gender | Male, 79.3% |
Calm | 77.6% |
Angry | 14.5% |
Sad | 7.3% |
Happy | 0.2% |
Confused | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |
Surprised | 0.1% |
Text analysis
Amazon
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