Machine Generated Data
Tags
Amazon
created on 2019-08-09
Person | 98.9 | |
| ||
Human | 98.9 | |
| ||
Person | 98.9 | |
| ||
Person | 97.6 | |
| ||
Person | 97.2 | |
| ||
Person | 96.3 | |
| ||
Person | 95.7 | |
| ||
Person | 93.6 | |
| ||
Person | 88.9 | |
| ||
Urban | 85.4 | |
| ||
Person | 84.8 | |
| ||
Road | 82.1 | |
| ||
Person | 79.8 | |
| ||
Building | 76.3 | |
| ||
Town | 76.3 | |
| ||
City | 76.3 | |
| ||
Transportation | 70.3 | |
| ||
Vehicle | 70.3 | |
| ||
Street | 69.2 | |
| ||
People | 66.6 | |
| ||
Pedestrian | 66.2 | |
| ||
Person | 63.3 | |
| ||
Apparel | 59.8 | |
| ||
Clothing | 59.8 | |
| ||
Room | 58.9 | |
| ||
Indoors | 58.9 | |
| ||
Boat | 57.3 | |
| ||
Tarmac | 56.8 | |
| ||
Asphalt | 56.8 | |
| ||
Neighborhood | 56.5 | |
| ||
Text | 56.4 | |
| ||
Person | 52 | |
| ||
Person | 49.8 | |
| ||
Person | 44.9 | |
|
Clarifai
created on 2019-08-09
people | 99.9 | |
| ||
group | 99.1 | |
| ||
98.3 | ||
| ||
vehicle | 97.6 | |
| ||
adult | 97.6 | |
| ||
group together | 96.7 | |
| ||
many | 96.4 | |
| ||
man | 95 | |
| ||
transportation system | 92.8 | |
| ||
street | 92.5 | |
| ||
one | 90.9 | |
| ||
illustration | 90.7 | |
| ||
war | 90.1 | |
| ||
home | 89.7 | |
| ||
watercraft | 88.6 | |
| ||
engraving | 88.6 | |
| ||
military | 87.8 | |
| ||
furniture | 87.3 | |
| ||
two | 86.4 | |
| ||
art | 85.6 | |
|
Imagga
created on 2019-08-09
city | 29.9 | |
| ||
architecture | 24.3 | |
| ||
shop | 23.4 | |
| ||
building | 21.8 | |
| ||
passenger | 21.2 | |
| ||
street | 21.2 | |
| ||
barbershop | 21.1 | |
| ||
urban | 21 | |
| ||
travel | 19 | |
| ||
people | 18.4 | |
| ||
transportation | 16.1 | |
| ||
mercantile establishment | 14.8 | |
| ||
transport | 14.6 | |
| ||
tourism | 14 | |
| ||
vehicle | 13.9 | |
| ||
old | 13.2 | |
| ||
conveyance | 12.9 | |
| ||
road | 12.6 | |
| ||
man | 11.7 | |
| ||
tramway | 11.4 | |
| ||
car | 10.8 | |
| ||
equipment | 10.8 | |
| ||
buildings | 10.4 | |
| ||
sky | 10.2 | |
| ||
town | 10.2 | |
| ||
house | 10 | |
| ||
industrial | 10 | |
| ||
place of business | 9.9 | |
| ||
business | 9.7 | |
| ||
men | 9.4 | |
| ||
train | 9.4 | |
| ||
window | 9.4 | |
| ||
industry | 9.4 | |
| ||
light | 9.3 | |
| ||
stone | 9.3 | |
| ||
track | 9.1 | |
| ||
black | 9 | |
| ||
machine | 9 | |
| ||
night | 8.9 | |
| ||
lamp | 8.6 | |
| ||
vacation | 8.2 | |
| ||
truck | 8.1 | |
| ||
steel | 8 | |
| ||
center | 7.9 | |
| ||
chair | 7.7 | |
| ||
traffic | 7.6 | |
| ||
wheeled vehicle | 7.4 | |
| ||
water | 7.3 | |
| ||
landmark | 7.2 | |
| ||
holiday | 7.2 | |
| ||
history | 7.1 | |
| ||
glass | 7.1 | |
| ||
interior | 7.1 | |
|
Google
created on 2019-08-09
Photograph | 95 | |
| ||
Stock photography | 72.2 | |
| ||
Art | 62.5 | |
| ||
Vehicle | 56.3 | |
| ||
Boat | 54.9 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 18-30 |
Gender | Female, 50.2% |
Angry | 49.6% |
Calm | 49.8% |
Sad | 49.6% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.6% |
Fear | 49.6% |
Surprised | 49.7% |
Feature analysis
Text analysis
Amazon
PENSAD
M
DCUS
DCUS DEUS CONTZIGO
DEUS CONTZIGO
D