Machine Generated Data
Tags
Amazon
created on 2022-03-19
Car | 99.7 | |
| ||
Automobile | 99.7 | |
| ||
Transportation | 99.7 | |
| ||
Vehicle | 99.7 | |
| ||
Interior Design | 99.7 | |
| ||
Indoors | 99.7 | |
| ||
Wheel | 96.4 | |
| ||
Machine | 96.4 | |
| ||
Meal | 90.6 | |
| ||
Food | 90.6 | |
| ||
Wheel | 90.5 | |
| ||
Person | 90.3 | |
| ||
Human | 90.3 | |
| ||
Urban | 89.4 | |
| ||
Building | 70.6 | |
| ||
Home Decor | 69.8 | |
| ||
Spoke | 69 | |
| ||
Road | 68.4 | |
| ||
City | 65.3 | |
| ||
Town | 65.3 | |
| ||
Nature | 64.9 | |
| ||
Street | 64.7 | |
| ||
Tire | 63 | |
| ||
Coupe | 62 | |
| ||
Sports Car | 62 | |
| ||
Outdoors | 60.9 | |
| ||
Sedan | 60.4 | |
| ||
Porch | 57.9 | |
| ||
Downtown | 57.8 | |
| ||
Postal Office | 56.7 | |
| ||
Restaurant | 55.7 | |
| ||
Diner | 55.2 | |
| ||
Door | 54.8 | |
|
Clarifai
created on 2025-01-10
Imagga
created on 2022-03-19
cinema | 100 | |
| ||
theater | 100 | |
| ||
building | 99.8 | |
| ||
structure | 61.1 | |
| ||
architecture | 42.7 | |
| ||
city | 24.1 | |
| ||
house | 22.6 | |
| ||
urban | 21.9 | |
| ||
travel | 21.8 | |
| ||
transportation | 17 | |
| ||
exterior | 15.7 | |
| ||
facade | 15.5 | |
| ||
home | 15.2 | |
| ||
window | 14.7 | |
| ||
construction | 14.6 | |
| ||
windows | 14.4 | |
| ||
vehicle | 14 | |
| ||
wheeled vehicle | 14 | |
| ||
old | 13.9 | |
| ||
street | 13.8 | |
| ||
train | 13.6 | |
| ||
streetcar | 13.4 | |
| ||
town | 13 | |
| ||
transport | 12.8 | |
| ||
station | 12.6 | |
| ||
buildings | 12.3 | |
| ||
sky | 12.1 | |
| ||
office | 11.6 | |
| ||
tourism | 11.6 | |
| ||
roof | 11.4 | |
| ||
modern | 11.2 | |
| ||
car | 10.9 | |
| ||
landmark | 10.8 | |
| ||
light | 10.7 | |
| ||
wall | 10.3 | |
| ||
interior | 9.7 | |
| ||
wagon | 9.7 | |
| ||
residential | 9.6 | |
| ||
destination | 9.4 | |
| ||
glass | 9.3 | |
| ||
church | 9.3 | |
| ||
business | 9.1 | |
| ||
design | 9 | |
| ||
steel | 8.8 | |
| ||
railroad | 8.8 | |
| ||
architectural | 8.7 | |
| ||
perspective | 8.5 | |
| ||
balcony | 8.3 | |
| ||
conveyance | 8.2 | |
| ||
new | 8.1 | |
| ||
railway | 7.8 | |
| ||
lamp | 7.6 | |
| ||
historic | 7.3 | |
| ||
night | 7.1 | |
|
Google
created on 2022-03-19
Automotive parking light | 96.9 | |
| ||
Tire | 96.4 | |
| ||
Car | 95.4 | |
| ||
Photograph | 94.2 | |
| ||
Wheel | 92.1 | |
| ||
Vehicle | 91.7 | |
| ||
Motor vehicle | 91.7 | |
| ||
Black | 89.7 | |
| ||
Door | 89.6 | |
| ||
Automotive lighting | 88.5 | |
| ||
Black-and-white | 86 | |
| ||
Architecture | 85.4 | |
| ||
Building | 84.2 | |
| ||
Line | 81.8 | |
| ||
Monochrome | 79.3 | |
| ||
Rectangle | 79.2 | |
| ||
Monochrome photography | 77.8 | |
| ||
Notchback | 77.6 | |
| ||
Window | 76.7 | |
| ||
Tints and shades | 76.5 | |
|
Microsoft
created on 2022-03-19
text | 98 | |
| ||
window | 94.1 | |
| ||
vehicle | 88.4 | |
| ||
land vehicle | 82.7 | |
| ||
black and white | 77.4 | |
| ||
car | 75.4 | |
| ||
white | 75.2 | |
| ||
shop | 72.8 | |
| ||
restaurant | 70.1 | |
| ||
building | 63 | |
| ||
wheel | 53.8 | |
| ||
store | 48 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 28-38 |
Gender | Male, 95.5% |
Angry | 53.2% |
Calm | 18% |
Confused | 12.2% |
Surprised | 4.8% |
Disgusted | 4.3% |
Sad | 3.6% |
Fear | 2.8% |
Happy | 1.2% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 80% |
Surprised | 77.3% |
Fear | 14.3% |
Angry | 2% |
Happy | 1.9% |
Calm | 1.9% |
Disgusted | 1.3% |
Sad | 0.9% |
Confused | 0.4% |

AWS Rekognition
Age | 9-17 |
Gender | Female, 97.9% |
Calm | 62.4% |
Confused | 19.1% |
Happy | 12.5% |
Fear | 1.8% |
Sad | 1.5% |
Disgusted | 1.3% |
Surprised | 0.9% |
Angry | 0.5% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 78.5% | |
| ||
text visuals | 8.2% | |
| ||
interior objects | 6.5% | |
| ||
paintings art | 4.8% | |
| ||
cars vehicles | 1.3% | |
|
Captions
Microsoft
created on 2022-03-19
a sign in front of a store window | 92.2% | |
| ||
a store front of a window | 92.1% | |
| ||
a close up of a store window | 92% | |
|
Text analysis
Amazon

TO-DAY

CLEANING

RADIO

PIX

FLASH

LAUNDRY

TSI

en

%CHEROKEE

SALES-SERVICE.

MON.TUES

ONS

CARSON

EXIT ONS

TRING

-

EXIT

Saul CARSON

I

LiNCOLN

GUD -

TRING DEDREWAS

GUD

Saul

Zinenão

DEDREWAS

УТЭА-X

nice

ALINCOLN
RADIO
JALES SEPVICE
TO-DAY MONTUES
LAUNDRY
TO-DAY
CHEROKEE
FLASH
Gt CARSON
RNG ORS

ALINCOLN

RADIO

JALES

SEPVICE

TO-DAY

MONTUES

LAUNDRY

CHEROKEE

FLASH

Gt

CARSON

RNG

ORS