Machine Generated Data
Tags
Amazon
created on 2022-01-22
Person | 99.8 | |
| ||
Human | 99.8 | |
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Person | 99.5 | |
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Person | 99.1 | |
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Restaurant | 99.1 | |
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Person | 97.7 | |
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Person | 97.2 | |
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Chair | 93 | |
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Furniture | 93 | |
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Cafeteria | 89.5 | |
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Meal | 87.6 | |
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Food | 87.6 | |
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Person | 84.7 | |
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Cafe | 79.5 | |
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Interior Design | 71.8 | |
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Indoors | 71.8 | |
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Person | 71.1 | |
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Text | 68.8 | |
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Dining Table | 66.8 | |
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Table | 66.8 | |
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Clothing | 61.9 | |
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Apparel | 61.9 | |
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Food Court | 59.9 | |
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Sitting | 56.6 | |
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Person | 54 | |
|
Clarifai
created on 2023-10-26
people | 98.9 | |
| ||
indoors | 98.7 | |
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airport | 98.2 | |
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man | 96.5 | |
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transportation system | 96 | |
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luggage | 95.6 | |
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shopping | 95.6 | |
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adult | 95.2 | |
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woman | 94.9 | |
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monochrome | 94.3 | |
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business | 94.2 | |
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furniture | 92.3 | |
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stock | 91 | |
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shop | 88.8 | |
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no person | 87.7 | |
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train | 87.6 | |
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expect | 86.5 | |
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department store | 86.3 | |
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group together | 85.9 | |
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many | 85.5 | |
|
Imagga
created on 2022-01-22
Google
created on 2022-01-22
Black | 89.7 | |
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Black-and-white | 84.9 | |
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Style | 83.8 | |
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Fixture | 79.7 | |
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Customer | 78.6 | |
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Monochrome photography | 72.4 | |
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Monochrome | 71.8 | |
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Event | 68.4 | |
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Room | 63 | |
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Stock photography | 62 | |
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Suit | 57.1 | |
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Street | 55.6 | |
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Font | 55.4 | |
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Machine | 55.4 | |
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Retail | 53.6 | |
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Glass | 52.6 | |
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T-shirt | 51.6 | |
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Job | 51.3 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 21-29 |
Gender | Female, 52.6% |
Calm | 96.4% |
Sad | 3.3% |
Confused | 0.1% |
Angry | 0% |
Happy | 0% |
Fear | 0% |
Disgusted | 0% |
Surprised | 0% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 73.3% |
Calm | 99.6% |
Sad | 0.2% |
Confused | 0% |
Happy | 0% |
Surprised | 0% |
Angry | 0% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 77.8% |
Sad | 55.5% |
Calm | 33.2% |
Happy | 5.5% |
Confused | 3.5% |
Fear | 0.9% |
Angry | 0.6% |
Disgusted | 0.4% |
Surprised | 0.3% |

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

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 | Likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |
Feature analysis
Categories
Imagga
interior objects | 78.5% | |
| ||
streetview architecture | 11.8% | |
| ||
text visuals | 4.4% | |
| ||
beaches seaside | 3.7% | |
|
Captions
Microsoft
created on 2022-01-22
a person standing in front of a store | 80% | |
| ||
a group of people standing in front of a store | 74.8% | |
| ||
a group of men standing in front of a store | 67.3% | |
|
Text analysis
Amazon

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Please

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Please Jell Cadam

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TOP

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FOR 02

NEWE

925d

Cadam

W must 10 - Let

W

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OUT OF AN ITEM

925d TES

MARI

2015/1V

Let

MARI MIXXO

10

HIJI

FOR

MIXXO

TES

PLEASE HELP US
WE AR OUT OF AN EM
P Glon

PLEASE

HELP

US

WE

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OUT

OF

AN

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Glon