Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clothing | 99.7 | |
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Apparel | 99.7 | |
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Dress | 99.3 | |
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Person | 99 | |
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Human | 99 | |
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Person | 98.6 | |
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Female | 97.5 | |
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Person | 97.5 | |
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Blonde | 91.2 | |
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Teen | 91.2 | |
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Woman | 91.2 | |
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Girl | 91.2 | |
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Kid | 91.2 | |
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Child | 91.2 | |
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Shorts | 90.4 | |
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Furniture | 81.9 | |
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Face | 79.6 | |
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Person | 79.4 | |
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Couch | 75.8 | |
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Collage | 72.2 | |
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Poster | 72.2 | |
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Advertisement | 72.2 | |
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Indoors | 70 | |
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Living Room | 69.3 | |
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Room | 69.3 | |
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Suit | 69 | |
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Coat | 69 | |
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Overcoat | 69 | |
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Evening Dress | 64.1 | |
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Fashion | 64.1 | |
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Gown | 64.1 | |
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Robe | 64.1 | |
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Photography | 63.2 | |
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Photo | 63.2 | |
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People | 63 | |
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Icing | 61.1 | |
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Food | 61.1 | |
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Dessert | 61.1 | |
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Cake | 61.1 | |
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Cream | 61.1 | |
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Creme | 61.1 | |
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Sunglasses | 61 | |
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Accessories | 61 | |
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Accessory | 61 | |
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Leisure Activities | 59.5 | |
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Hair | 57.2 | |
|
Clarifai
created on 2023-10-26
people | 99.9 | |
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group | 98.7 | |
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two | 98.3 | |
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child | 97.6 | |
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woman | 97.2 | |
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adult | 96.8 | |
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family | 96.4 | |
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three | 96.2 | |
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group together | 95.5 | |
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monochrome | 94.7 | |
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wear | 94.4 | |
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man | 94.4 | |
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offspring | 93.5 | |
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sibling | 93.1 | |
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four | 93.1 | |
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facial expression | 92.9 | |
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several | 90.1 | |
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son | 88.5 | |
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recreation | 88.2 | |
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music | 84.3 | |
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Imagga
created on 2022-01-23
Google
created on 2022-01-23
Smile | 96.3 | |
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Photograph | 94.2 | |
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Black | 89.7 | |
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Black-and-white | 88.1 | |
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Sleeve | 87.2 | |
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Style | 84.1 | |
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Adaptation | 79.3 | |
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Monochrome | 79 | |
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Monochrome photography | 78.1 | |
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Fashion design | 76.9 | |
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Eyewear | 76.2 | |
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Beauty | 74.9 | |
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Snapshot | 74.3 | |
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Font | 74.1 | |
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Event | 70.4 | |
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Room | 69.8 | |
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Vintage clothing | 69.2 | |
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Pattern | 68.9 | |
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Art | 66.6 | |
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Happy | 64.3 | |
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Microsoft
created on 2022-01-23
smile | 95.7 | |
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text | 95.4 | |
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person | 95.4 | |
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clothing | 94.7 | |
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human face | 85.9 | |
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black and white | 78.8 | |
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woman | 75.4 | |
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man | 73.2 | |
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posing | 38.5 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 49-57 |
Gender | Male, 98.8% |
Happy | 90.7% |
Calm | 3.7% |
Sad | 2.5% |
Confused | 1.3% |
Surprised | 0.5% |
Disgusted | 0.5% |
Angry | 0.4% |
Fear | 0.4% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 99.1% |
Calm | 89.9% |
Happy | 5.6% |
Surprised | 1.6% |
Confused | 1% |
Disgusted | 0.9% |
Angry | 0.6% |
Sad | 0.3% |
Fear | 0.1% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 100% |
Happy | 63.3% |
Calm | 10% |
Surprised | 7.8% |
Confused | 6.2% |
Sad | 4.2% |
Disgusted | 3.4% |
Angry | 3.1% |
Fear | 2% |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person
Sunglasses
Categories
Imagga
people portraits | 49.6% | |
| ||
events parties | 34.9% | |
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paintings art | 6% | |
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text visuals | 3.9% | |
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streetview architecture | 3.4% | |
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food drinks | 1.3% | |
|
Captions
Microsoft
created on 2022-01-23
Text analysis
Amazon

Greetings

8

a

MJI

MJI YESTAS

YESTAS

Greetings
st 3 || 8
MJ17 YT3RA2 092MA

Greetings

st

3

||

8

MJ17

YT3RA2

092MA