Machine Generated Data
Tags
Amazon
created on 2022-01-22
Person | 97.1 | |
| ||
Human | 97.1 | |
| ||
Wheel | 96.9 | |
| ||
Machine | 96.9 | |
| ||
Wheel | 91.2 | |
| ||
Horse | 90.1 | |
| ||
Animal | 90.1 | |
| ||
Mammal | 90.1 | |
| ||
Pedestrian | 86.4 | |
| ||
Crowd | 83 | |
| ||
Building | 80.1 | |
| ||
Person | 77.4 | |
| ||
People | 77.2 | |
| ||
Urban | 74.5 | |
| ||
Person | 72.3 | |
| ||
Horse | 69.6 | |
| ||
Vehicle | 63.7 | |
| ||
Transportation | 63.7 | |
| ||
Person | 62.3 | |
| ||
City | 61.3 | |
| ||
Town | 61.3 | |
| ||
Downtown | 56.6 | |
| ||
Nature | 55.7 | |
| ||
Person | 55 | |
| ||
Person | 54.4 | |
| ||
Person | 49.6 | |
|
Clarifai
created on 2023-10-27
monochrome | 99.1 | |
| ||
crowd | 98.8 | |
| ||
winter | 98.5 | |
| ||
snow | 97.8 | |
| ||
many | 97.2 | |
| ||
people | 96.9 | |
| ||
cavalry | 96.3 | |
| ||
street | 95.9 | |
| ||
city | 93.2 | |
| ||
man | 92.1 | |
| ||
horizontal plane | 91.2 | |
| ||
outdoors | 85.4 | |
| ||
group | 83.8 | |
| ||
adult | 81.5 | |
| ||
desktop | 81.2 | |
| ||
carriage | 80.3 | |
| ||
black and white | 78.8 | |
| ||
architecture | 77.5 | |
| ||
town | 76.8 | |
| ||
group together | 75.3 | |
|
Imagga
created on 2022-01-22
Google
created on 2022-01-22
Building | 92.3 | |
| ||
Window | 87.1 | |
| ||
Art | 85.1 | |
| ||
Font | 83.1 | |
| ||
Urban design | 81.8 | |
| ||
Adaptation | 79.4 | |
| ||
City | 75.1 | |
| ||
Rectangle | 75.1 | |
| ||
Snapshot | 74.3 | |
| ||
Human settlement | 73.1 | |
| ||
Painting | 72.7 | |
| ||
Illustration | 72.1 | |
| ||
Monochrome | 71.6 | |
| ||
Poster | 69.2 | |
| ||
Room | 68.3 | |
| ||
History | 67.5 | |
| ||
Paper product | 67.3 | |
| ||
Crowd | 66.7 | |
| ||
Event | 66.2 | |
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Stock photography | 65 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 27-37 |
Gender | Male, 98.2% |
Sad | 48.7% |
Calm | 18.5% |
Happy | 15.9% |
Confused | 9.6% |
Angry | 2.8% |
Fear | 2.1% |
Disgusted | 1.3% |
Surprised | 1.2% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 70.9% |
Calm | 42.5% |
Sad | 37.9% |
Happy | 9.7% |
Angry | 3.3% |
Fear | 2.8% |
Confused | 1.9% |
Disgusted | 1% |
Surprised | 0.9% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 81% |
Calm | 65.2% |
Fear | 22.2% |
Sad | 5.3% |
Confused | 2.5% |
Surprised | 1.7% |
Happy | 1.7% |
Angry | 0.7% |
Disgusted | 0.6% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 93.7% |
Calm | 68.1% |
Happy | 26.9% |
Sad | 1.9% |
Angry | 1% |
Surprised | 0.9% |
Disgusted | 0.8% |
Confused | 0.4% |
Fear | 0.2% |
Feature analysis
Categories
Imagga
text visuals | 99.8% | |
|
Captions
Microsoft
created on 2022-01-22
a vintage photo of an old building | 78% | |
| ||
a vintage photo of a building | 77.9% | |
| ||
a vintage photo of an old building in the background | 76.4% | |
|
Text analysis
Amazon

DeSoto

DeSoto Hotel

Hotel

CREAM

ICE

PALMER

ICE CREAM

Campus

OLEANDER ICE CREAM

OLEANDER

NATIONAL

FIRST

from

WEAR

BANK

The

Delicious

Cradle

31100

INFANTS

from Cradle to Campus

Young

The Delicious Re

Serve-Eat

TEEN'S

to

Young Colony.

STAE

Re

WING

Colony.

The WING more

CHILDRENS

VT33A2

N=1-20

more

MADOX

TINENS

DeSoto Hotel
PALMER
FIRST
NATIONAL
BAN K
INFANTS
ouny Colony.
CRTLDRENS
TEENS
Jpem Cradle to Campus
Serve-Eat
OLEANDER ICE CREAM
題
The Dellcious R
OLEANDER
E CREAM
31/00

DeSoto

Hotel

PALMER

FIRST

NATIONAL

BAN

K

INFANTS

ouny

Colony.

CRTLDRENS

TEENS

Jpem

Cradle

to

Campus

Serve-Eat

OLEANDER

ICE

CREAM

題

The

Dellcious

R

E

31/00