Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clothing | 99.4 | |
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Apparel | 99.4 | |
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Person | 99.3 | |
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Human | 99.3 | |
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Person | 98.8 | |
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Car | 95.4 | |
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Transportation | 95.4 | |
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Vehicle | 95.4 | |
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Automobile | 95.4 | |
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Car | 91.3 | |
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Path | 90.3 | |
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Shoe | 90 | |
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Footwear | 90 | |
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Shoe | 90 | |
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Shoe | 89.5 | |
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Sleeve | 85.3 | |
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Flagstone | 75.9 | |
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Long Sleeve | 74.9 | |
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Overcoat | 74.3 | |
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Coat | 74.3 | |
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Sidewalk | 72.5 | |
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Pavement | 72.5 | |
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Pedestrian | 65.2 | |
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Plant | 59.7 | |
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Walkway | 56.1 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
man | 30.2 | |
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male | 23.5 | |
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people | 23.4 | |
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groom | 21.2 | |
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person | 19.6 | |
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dress | 19 | |
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couple | 17.4 | |
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adult | 16.8 | |
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wedding | 16.6 | |
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park | 16.5 | |
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bride | 16.3 | |
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lab coat | 15.9 | |
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coat | 15 | |
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love | 15 | |
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clothing | 14.7 | |
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professional | 13.6 | |
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happiness | 13.3 | |
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weapon | 13.1 | |
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outdoors | 12.8 | |
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suit | 12.8 | |
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business | 12.8 | |
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happy | 12.5 | |
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married | 12.5 | |
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businessman | 12.4 | |
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smiling | 12.3 | |
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portrait | 12.3 | |
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garment | 12.2 | |
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device | 12.1 | |
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life | 11.4 | |
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human | 11.2 | |
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men | 11.2 | |
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sword | 11.1 | |
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two | 11 | |
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looking | 10.4 | |
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women | 10.3 | |
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city | 10 | |
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building | 9.9 | |
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attractive | 9.8 | |
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job | 9.7 | |
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corporate | 9.5 | |
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bouquet | 9.4 | |
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smile | 9.3 | |
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face | 9.2 | |
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hand | 9.1 | |
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cash machine | 9 | |
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world | 8.9 | |
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family | 8.9 | |
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lifestyle | 8.7 | |
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outside | 8.6 | |
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wall | 8.6 | |
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marriage | 8.5 | |
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travel | 8.5 | |
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outdoor | 8.4 | |
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fashion | 8.3 | |
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worker | 8.2 | |
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success | 8 | |
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together | 7.9 | |
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work | 7.8 | |
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day | 7.8 | |
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architecture | 7.8 | |
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tourist | 7.8 | |
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ceremony | 7.8 | |
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crutch | 7.7 | |
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summer | 7.7 | |
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pretty | 7.7 | |
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youth | 7.7 | |
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cricket bat | 7.6 | |
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wife | 7.6 | |
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office | 7.5 | |
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future | 7.4 | |
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holding | 7.4 | |
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lady | 7.3 | |
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call | 7.2 | |
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hair | 7.1 | |
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staff | 7.1 | |
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model | 7 | |
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Google
created on 2022-01-23
Plant | 91.3 | |
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Black | 89.5 | |
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Standing | 86.4 | |
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Gesture | 85.3 | |
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Black-and-white | 83.9 | |
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Happy | 83.1 | |
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Tree | 82.7 | |
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Adaptation | 79.3 | |
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Monochrome photography | 74.1 | |
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Vintage clothing | 73.9 | |
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Monochrome | 70.5 | |
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Street fashion | 69.3 | |
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Photo caption | 67.5 | |
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Street | 63.9 | |
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Car | 62.8 | |
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Stock photography | 61.8 | |
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Font | 56.7 | |
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Classic | 56.4 | |
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Holding hands | 55.7 | |
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Paper product | 54.3 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 28-38 |
Gender | Male, 99.8% |
Happy | 98.8% |
Surprised | 0.2% |
Sad | 0.2% |
Calm | 0.2% |
Angry | 0.2% |
Fear | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 100% |
Happy | 99.6% |
Surprised | 0.2% |
Angry | 0.1% |
Disgusted | 0% |
Fear | 0% |
Confused | 0% |
Sad | 0% |
Calm | 0% |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 77.6% | |
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paintings art | 21.3% | |
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Captions
Microsoft
created on 2022-01-23
a man riding a skateboard down a sidewalk | 55.7% | |
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a man riding a skateboard on a sidewalk | 52.2% | |
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a man riding a skateboard down a street | 46.7% | |
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Text analysis
Amazon

HOTEL

and

APPROVED

LOUNGE

COCKTAIL LOUNGE

COCKTAIL

AAA

EACONSFIELD

ROOM

DINING ROOM

DINING

APPROVED
HOTEL
AAD
EACONSFIELD
rOCKTAIL LOUKGE

APPROVED

HOTEL

AAD

EACONSFIELD

rOCKTAIL

LOUKGE