Machine Generated Data
Tags
Amazon
created on 2021-12-14
Person | 98.7 | |
| ||
Human | 98.7 | |
| ||
Person | 98.2 | |
| ||
Person | 98.2 | |
| ||
Person | 98.1 | |
| ||
Collage | 97.5 | |
| ||
Poster | 97.5 | |
| ||
Advertisement | 97.5 | |
| ||
Person | 97.4 | |
| ||
Person | 97.3 | |
| ||
Person | 96.9 | |
| ||
Person | 96.7 | |
| ||
Person | 96.6 | |
| ||
Person | 95.5 | |
| ||
Person | 95.4 | |
| ||
Person | 95.2 | |
| ||
Person | 94.6 | |
| ||
Person | 93.7 | |
| ||
Person | 93.5 | |
| ||
Face | 92.7 | |
| ||
Person | 92.5 | |
| ||
Person | 92.1 | |
| ||
Head | 91.8 | |
| ||
Person | 84.5 | |
| ||
Person | 79 | |
| ||
Person | 74.7 | |
| ||
Text | 74.6 | |
| ||
Person | 73.5 | |
| ||
Photography | 61.5 | |
| ||
Photo | 61.5 | |
| ||
Portrait | 61.2 | |
|
Clarifai
created on 2023-10-15
set | 97.2 | |
| ||
collection | 97 | |
| ||
portrait | 96.9 | |
| ||
people | 96 | |
| ||
embodiment | 95.1 | |
| ||
symbol | 94.5 | |
| ||
woman | 93.2 | |
| ||
face | 92.4 | |
| ||
calendar | 92.4 | |
| ||
vectors | 92 | |
| ||
healthcare | 91.8 | |
| ||
diagnosis | 90 | |
| ||
medicine | 89.6 | |
| ||
set up | 89.5 | |
| ||
medical | 89.3 | |
| ||
adult | 89.3 | |
| ||
girl | 88 | |
| ||
man | 87.5 | |
| ||
doctor | 87.5 | |
| ||
ball-shaped | 86.2 | |
|
Imagga
created on 2021-12-14
icon | 56.3 | |
| ||
set | 53.7 | |
| ||
icons | 49.4 | |
| ||
sign | 42.9 | |
| ||
symbol | 41.1 | |
| ||
web | 39.9 | |
| ||
button | 36.1 | |
| ||
design | 28.8 | |
| ||
computer | 27.3 | |
| ||
snap | 27.2 | |
| ||
black | 27.2 | |
| ||
fastener | 25.8 | |
| ||
buttons | 21.7 | |
| ||
website | 20.8 | |
| ||
business | 20.7 | |
| ||
device | 19.5 | |
| ||
restraint | 19.5 | |
| ||
collection | 19 | |
| ||
graphic | 18.3 | |
| ||
18.2 | ||
| ||
element | 16.6 | |
| ||
house | 15.9 | |
| ||
phone | 15.7 | |
| ||
home | 15.2 | |
| ||
globe | 14.8 | |
| ||
finance | 14.4 | |
| ||
knob | 14.1 | |
| ||
sound | 14.1 | |
| ||
star | 13.5 | |
| ||
communication | 13.5 | |
| ||
art | 13.2 | |
| ||
shopping | 13.1 | |
| ||
lock | 12.9 | |
| ||
clock | 12.7 | |
| ||
series | 12.5 | |
| ||
symbols | 12.4 | |
| ||
arrow | 12.3 | |
| ||
circle | 12 | |
| ||
modern | 11.9 | |
| ||
money | 11.9 | |
| ||
printer | 11.8 | |
| ||
silhouette | 11.6 | |
| ||
site | 11.3 | |
| ||
glossy | 11.2 | |
| ||
round | 11.2 | |
| ||
painting | 10.9 | |
| ||
icon set | 10.8 | |
| ||
group | 10.5 | |
| ||
telephone | 10.4 | |
| ||
document | 10.2 | |
| ||
page | 10.2 | |
| ||
elements | 10.2 | |
| ||
network | 10.2 | |
| ||
cart | 9.8 | |
| ||
information | 9.8 | |
| ||
service | 9.3 | |
| ||
bank | 9.3 | |
| ||
color | 8.9 | |
| ||
signs | 8.8 | |
| ||
interface | 8.7 | |
| ||
label | 8.6 | |
| ||
pencil | 8.5 | |
| ||
bag | 8.5 | |
| ||
car | 8.4 | |
| ||
dollar | 8.4 | |
| ||
letter | 8.3 | |
| ||
connection | 8.2 | |
| ||
global | 8.2 | |
| ||
music | 8.1 | |
| ||
discussion | 7.8 | |
| ||
7.8 | ||
| ||
card | 7.7 | |
| ||
chart | 7.7 | |
| ||
7.6 | ||
| ||
commerce | 7.5 | |
| ||
clip | 7.5 | |
| ||
coffee | 7.4 | |
| ||
food | 7.4 | |
| ||
office | 7.2 | |
| ||
reflection | 7.2 | |
| ||
world | 7.1 | |
| ||
glass | 7 | |
|
Google
created on 2021-12-14
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 22-34 |
Gender | Male, 99.3% |
Happy | 89.2% |
Surprised | 3.3% |
Angry | 1.9% |
Fear | 1.5% |
Calm | 1.3% |
Disgusted | 1.3% |
Confused | 1% |
Sad | 0.4% |

AWS Rekognition
Age | 14-26 |
Gender | Male, 97.3% |
Happy | 98.5% |
Confused | 0.5% |
Surprised | 0.3% |
Calm | 0.3% |
Angry | 0.1% |
Disgusted | 0.1% |
Sad | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 13-23 |
Gender | Male, 98.6% |
Calm | 92.6% |
Confused | 4.5% |
Surprised | 1% |
Angry | 0.7% |
Happy | 0.6% |
Sad | 0.4% |
Fear | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 20-32 |
Gender | Female, 94.3% |
Happy | 94.8% |
Surprised | 1.3% |
Confused | 1.3% |
Fear | 0.9% |
Calm | 0.6% |
Disgusted | 0.6% |
Angry | 0.4% |
Sad | 0.1% |

AWS Rekognition
Age | 16-28 |
Gender | Male, 93.8% |
Calm | 86.7% |
Happy | 7.7% |
Angry | 1.8% |
Surprised | 1.4% |
Sad | 0.8% |
Fear | 0.7% |
Disgusted | 0.6% |
Confused | 0.3% |

AWS Rekognition
Age | 13-23 |
Gender | Male, 99.1% |
Calm | 98.1% |
Angry | 0.7% |
Sad | 0.5% |
Happy | 0.2% |
Confused | 0.2% |
Disgusted | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 16-28 |
Gender | Female, 97.6% |
Happy | 99.8% |
Surprised | 0.1% |
Calm | 0.1% |
Disgusted | 0% |
Confused | 0% |
Angry | 0% |
Fear | 0% |
Sad | 0% |

AWS Rekognition
Age | 20-32 |
Gender | Female, 94% |
Calm | 78.2% |
Happy | 15% |
Surprised | 1.7% |
Angry | 1.6% |
Disgusted | 1% |
Fear | 0.9% |
Sad | 0.8% |
Confused | 0.7% |

AWS Rekognition
Age | 5-15 |
Gender | Female, 96.5% |
Happy | 88.3% |
Calm | 9.4% |
Disgusted | 0.7% |
Surprised | 0.6% |
Fear | 0.3% |
Confused | 0.3% |
Angry | 0.2% |
Sad | 0.2% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 98% |
Happy | 87.5% |
Disgusted | 3.2% |
Surprised | 2.5% |
Confused | 2.4% |
Angry | 1.4% |
Fear | 1.3% |
Calm | 1.2% |
Sad | 0.6% |

AWS Rekognition
Age | 18-30 |
Gender | Female, 98.2% |
Happy | 98% |
Surprised | 0.5% |
Fear | 0.3% |
Disgusted | 0.3% |
Angry | 0.3% |
Confused | 0.3% |
Calm | 0.2% |
Sad | 0.2% |

AWS Rekognition
Age | 15-27 |
Gender | Male, 97.8% |
Calm | 99.3% |
Angry | 0.3% |
Sad | 0.2% |
Happy | 0.1% |
Disgusted | 0% |
Surprised | 0% |
Confused | 0% |
Fear | 0% |

AWS Rekognition
Age | 25-39 |
Gender | Female, 95.2% |
Happy | 99.3% |
Surprised | 0.2% |
Angry | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Sad | 0.1% |
Calm | 0% |

AWS Rekognition
Age | 17-29 |
Gender | Male, 98.4% |
Calm | 92.1% |
Happy | 4.5% |
Sad | 0.8% |
Disgusted | 0.7% |
Confused | 0.6% |
Surprised | 0.5% |
Angry | 0.5% |
Fear | 0.3% |

AWS Rekognition
Age | 13-25 |
Gender | Female, 94.3% |
Happy | 96.9% |
Surprised | 1.7% |
Confused | 0.4% |
Calm | 0.3% |
Fear | 0.3% |
Disgusted | 0.2% |
Angry | 0.2% |
Sad | 0.1% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 98.4% |
Calm | 89.6% |
Happy | 5.8% |
Confused | 1.8% |
Angry | 1% |
Sad | 0.6% |
Surprised | 0.5% |
Disgusted | 0.3% |
Fear | 0.3% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 98% |
Happy | 98.7% |
Disgusted | 0.4% |
Surprised | 0.3% |
Confused | 0.2% |
Calm | 0.1% |
Angry | 0.1% |
Sad | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 79.4% |
Calm | 52.9% |
Confused | 30.9% |
Surprised | 6.2% |
Sad | 3% |
Happy | 2.5% |
Disgusted | 1.7% |
Angry | 1.4% |
Fear | 1.4% |

AWS Rekognition
Age | 21-33 |
Gender | Male, 98.7% |
Happy | 99.6% |
Surprised | 0.1% |
Calm | 0.1% |
Fear | 0% |
Confused | 0% |
Angry | 0% |
Disgusted | 0% |
Sad | 0% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 99.7% |
Happy | 99.8% |
Surprised | 0.1% |
Confused | 0% |
Calm | 0% |
Angry | 0% |
Sad | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 18-30 |
Gender | Male, 99.1% |
Calm | 99.6% |
Angry | 0.2% |
Sad | 0.1% |
Happy | 0.1% |
Surprised | 0% |
Confused | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 20-32 |
Gender | Male, 98.8% |
Calm | 61.1% |
Angry | 34% |
Sad | 2.6% |
Fear | 0.8% |
Confused | 0.7% |
Disgusted | 0.5% |
Surprised | 0.3% |
Happy | 0% |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 28 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 34 |
Gender | Female |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 26 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Female |

Microsoft Cognitive Services
Age | 25 |
Gender | Male |

Microsoft Cognitive Services
Age | 26 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Microsoft Cognitive Services
Age | 40 |
Gender | Female |

Microsoft Cognitive Services
Age | 30 |
Gender | Female |

Microsoft Cognitive Services
Age | 27 |
Gender | Male |

Microsoft Cognitive Services
Age | 48 |
Gender | Female |

Microsoft Cognitive Services
Age | 29 |
Gender | Female |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 41 |
Gender | Female |

Microsoft Cognitive Services
Age | 29 |
Gender | Female |

Microsoft Cognitive Services
Age | 43 |
Gender | Female |

Microsoft Cognitive Services
Age | 38 |
Gender | Female |

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 likely |
Headwear | Unlikely |
Blurred | Very unlikely |

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 | 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 |

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 likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

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

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

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 unlikely |
Blurred | Very unlikely |

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 likely |
Headwear | Unlikely |
Blurred | Very unlikely |

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 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 |

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

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 unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
text visuals | 98.8% | |
|
Captions
Microsoft
created on 2021-12-14
a group of men posing for a photo | 42.4% | |
| ||
Jackie Cooper et al. posing for a photo | 42.3% | |
| ||
Jackie Cooper et al. posing for the camera | 42.2% | |
|
Text analysis
Amazon

CLASS

SCHOOL

Lois

BRANDON

CLASS of 1958

1958

ROGER

SCHULTE

of

DEAN

Juor

GAYLE

KAREL

JANET

ROBERT

ALAN

MILLER

GREEN

GAYLE EHLERS

ALAN TUNTLAND

ROGER PARHAM

ANDERSON

TUNTLAND

BURKMAN

EHLERS

STUDENT

CARLENE

PARHAM

VICE

BRANDON HiGH SCHOOL

TREASURER

PRESIDENT

Juor FRANKEN

JANET JOHNSON

SECRETARY

MARTINA GREEN

PETERSON

DELORES

DEAN Bisson

MALON ANDERSON

JOHNSON

FRANKEN

Rist

MARTINA

DELORES HALVEASON

MARTiN GREEN

MALON

HiGH

HALVEASON

Bisson

JOAN

JOAN PETERSON

Lois NELSON

JEAN PETERSON

MARTiN

STUDENT COUNCIL

Том SCHULTE

ELMER

JEAN

BONNIE Rist

NELSON

HAADING

ROBERT HorT

KAREL WiNTERTON

COUNCIL

Burnie BURKMAN

David HAADING

Том

OLSOM

David

Davio OLSOM

BONNIE

Davio

HorT

WiNTERTON

Burnie

MARTIN GREEN
MAATiNa GREEN
JANET JOHNSON
ROBERT Hor T
BONNie RisT
Juor FRANK EN
DEAN BissON
Lois NELSON
ELMER MILLER
Tom SCHULTE
KAREL WINTEATON
Davio HAADING
ALAN TUNTL AND
BURNIE BURKMAN
TREASURER
STUBENT COUNCIL AePRESeTAPive
PRESIDENT
VICE PAESIDENT
SECRETARY
BRANDON HIGH SCHOOL
CLASS d 1958
MALON ANDERSON
DELORES HALVERSON
RoGER PRAMAM
Davio OLsOM
GAVLE EHLEAS
JOAN PETERSON
JEAN ParEnsON
CAALENE ANDERSON

MARTIN

GREEN

MAATiNa

JANET

JOHNSON

ROBERT

Hor

T

BONNie

RisT

Juor

FRANK

EN

DEAN

BissON

Lois

NELSON

ELMER

MILLER

Tom

SCHULTE

KAREL

WINTEATON

Davio

HAADING

ALAN

TUNTL

AND

BURNIE

BURKMAN

TREASURER

STUBENT

COUNCIL

AePRESeTAPive

PRESIDENT

VICE

PAESIDENT

SECRETARY

BRANDON

HIGH

SCHOOL

CLASS

d

1958

MALON

ANDERSON

DELORES

HALVERSON

RoGER

PRAMAM

OLsOM

GAVLE

EHLEAS

JOAN

PETERSON

JEAN

ParEnsON

CAALENE