Machine Generated Data
Tags
Amazon
created on 2022-02-11
Clarifai
created on 2023-10-29
Imagga
created on 2022-02-11
sketch | 45.1 | |
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drawing | 34.8 | |
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people | 23.4 | |
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representation | 23.3 | |
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man | 19.5 | |
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business | 17.6 | |
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adult | 17 | |
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equipment | 15.5 | |
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clothing | 15.4 | |
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male | 14.9 | |
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person | 14.7 | |
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backboard | 14.2 | |
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interior | 13.3 | |
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body | 12.8 | |
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men | 12 | |
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human | 12 | |
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architecture | 11.9 | |
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silhouette | 11.6 | |
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lifestyle | 11.6 | |
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professional | 11.4 | |
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building | 11.3 | |
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hair | 11.1 | |
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work | 11 | |
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billboard | 10.9 | |
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relaxation | 10.9 | |
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sky | 10.8 | |
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happy | 10.6 | |
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businessman | 10.6 | |
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black | 10.6 | |
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modern | 10.5 | |
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attractive | 10.5 | |
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women | 10.3 | |
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dishwasher | 10.1 | |
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model | 10.1 | |
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sensuality | 10 | |
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office | 9.6 | |
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garment | 9.5 | |
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happiness | 9.4 | |
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water | 9.3 | |
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hand | 9.1 | |
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portrait | 9.1 | |
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fashion | 9 | |
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signboard | 8.8 | |
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healthy | 8.8 | |
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glass | 8.7 | |
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standing | 8.7 | |
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structure | 8.6 | |
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covering | 8.5 | |
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pretty | 8.4 | |
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floor | 8.4 | |
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swimsuit | 8.3 | |
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holding | 8.3 | |
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technology | 8.2 | |
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transportation | 8.1 | |
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sexy | 8 | |
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newspaper | 8 | |
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posing | 8 | |
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job | 8 | |
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design | 7.9 | |
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life | 7.7 | |
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construction | 7.7 | |
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crowd | 7.7 | |
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head | 7.6 | |
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white goods | 7.6 | |
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city | 7.5 | |
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sport | 7.4 | |
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active | 7.3 | |
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product | 7.3 | |
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group | 7.3 | |
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success | 7.2 | |
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smile | 7.1 | |
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day | 7.1 | |
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Google
created on 2022-02-11
Black | 89.6 | |
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Black-and-white | 86.1 | |
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Style | 84.1 | |
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Line | 81.6 | |
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Monochrome | 78.5 | |
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Monochrome photography | 77.6 | |
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Swimwear | 76.2 | |
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Fashion design | 73.2 | |
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Mannequin | 71.8 | |
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Art | 71.7 | |
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Human leg | 70.1 | |
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Shade | 68.7 | |
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Waist | 66.7 | |
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Stock photography | 66 | |
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Advertising | 65 | |
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Fashion accessory | 64.2 | |
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Vintage clothing | 63.3 | |
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Room | 62.4 | |
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Shelf | 59.9 | |
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Retail | 59.6 | |
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Microsoft
created on 2022-02-11
text | 93.7 | |
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black and white | 87.9 | |
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swimming | 67.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-36 |
Gender | Male, 72.2% |
Calm | 70.6% |
Happy | 27.7% |
Surprised | 1.1% |
Sad | 0.2% |
Confused | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Angry | 0.1% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 92.9% |
Calm | 96.3% |
Happy | 1.7% |
Angry | 1.2% |
Sad | 0.4% |
Surprised | 0.2% |
Confused | 0.1% |
Disgusted | 0.1% |
Fear | 0% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Unlikely |
Blurred | Possible |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 54.9% | |
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streetview architecture | 43.5% | |
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nature landscape | 1% | |
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Captions
Microsoft
created on 2022-02-11
a group of people standing in front of a store | 59.6% | |
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a group of people standing outside of a store | 59.5% | |
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a person standing in front of a store | 59.4% | |
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Text analysis
Amazon

A

MAGON

e.

KOLO

T A2 NAGON

T

A2

NAGON