Machine Generated Data
Tags
Amazon
created on 2019-11-16
Human | 100 | |
| ||
Pedestrian | 100 | |
| ||
Person | 99.6 | |
| ||
Person | 99.4 | |
| ||
Automobile | 97.6 | |
| ||
Transportation | 97.6 | |
| ||
Car | 97.6 | |
| ||
Vehicle | 97.6 | |
| ||
Asphalt | 97.4 | |
| ||
Tarmac | 97.4 | |
| ||
Car | 93.8 | |
| ||
Car | 93.5 | |
| ||
Path | 93 | |
| ||
Car | 92.5 | |
| ||
Road | 91.7 | |
| ||
Apparel | 88 | |
| ||
Shoe | 88 | |
| ||
Clothing | 88 | |
| ||
Footwear | 88 | |
| ||
Person | 86.9 | |
| ||
Car | 83.3 | |
| ||
Walking | 82.2 | |
| ||
Urban | 80.3 | |
| ||
Street | 80.3 | |
| ||
City | 80.3 | |
| ||
Building | 80.3 | |
| ||
Town | 80.3 | |
| ||
People | 70.7 | |
| ||
Sidewalk | 68.2 | |
| ||
Pavement | 68.2 | |
| ||
Leisure Activities | 67.4 | |
| ||
Person | 67.4 | |
| ||
Zebra Crossing | 57.1 | |
|
Clarifai
created on 2019-11-16
people | 99.8 | |
| ||
adult | 97.3 | |
| ||
one | 97 | |
| ||
group together | 96.1 | |
| ||
two | 95.9 | |
| ||
street | 95.9 | |
| ||
man | 94.5 | |
| ||
woman | 94 | |
| ||
wear | 93.3 | |
| ||
transportation system | 91.8 | |
| ||
recreation | 91.4 | |
| ||
monochrome | 89.9 | |
| ||
three | 88.9 | |
| ||
child | 87.4 | |
| ||
vehicle | 87.4 | |
| ||
several | 86.2 | |
| ||
athlete | 85.5 | |
| ||
group | 85.2 | |
| ||
many | 81.3 | |
| ||
four | 79.2 | |
|
Imagga
created on 2019-11-16
people | 30.1 | |
| ||
city | 29.9 | |
| ||
sport | 26.8 | |
| ||
batting cage | 26.8 | |
| ||
man | 25.5 | |
| ||
baseball equipment | 22.3 | |
| ||
sports equipment | 21.8 | |
| ||
street | 21.2 | |
| ||
urban | 20.1 | |
| ||
walking | 19.9 | |
| ||
business | 17.6 | |
| ||
person | 17.5 | |
| ||
male | 16.4 | |
| ||
men | 16.3 | |
| ||
adult | 15.8 | |
| ||
sidewalk | 14.6 | |
| ||
world | 14.5 | |
| ||
walk | 14.3 | |
| ||
silhouette | 14.1 | |
| ||
life | 12.7 | |
| ||
exercise | 12.7 | |
| ||
women | 12.7 | |
| ||
motion | 12 | |
| ||
black | 11.8 | |
| ||
building | 11.8 | |
| ||
crowd | 11.5 | |
| ||
outdoor | 11.5 | |
| ||
travel | 11.3 | |
| ||
fun | 11.2 | |
| ||
outdoors | 11.2 | |
| ||
rush | 10.8 | |
| ||
action | 10.2 | |
| ||
transportation | 9.9 | |
| ||
human | 9.7 | |
| ||
portrait | 9.7 | |
| ||
group | 9.7 | |
| ||
blurred | 9.6 | |
| ||
lifestyle | 9.4 | |
| ||
skate | 9.2 | |
| ||
speed | 9.2 | |
| ||
competition | 9.2 | |
| ||
transport | 9.1 | |
| ||
activity | 9 | |
| ||
reflection | 8.9 | |
| ||
businessman | 8.8 | |
| ||
airport | 8.8 | |
| ||
ball | 8.6 | |
| ||
office | 8.5 | |
| ||
leg | 8.4 | |
| ||
modern | 8.4 | |
| ||
hall | 8.4 | |
| ||
dark | 8.4 | |
| ||
one | 8.2 | |
| ||
active | 8.2 | |
| ||
fitness | 8.1 | |
| ||
architecture | 8.1 | |
| ||
stick | 8 | |
| ||
job | 8 | |
| ||
window | 7.9 | |
| ||
corporate | 7.7 | |
| ||
summer | 7.7 | |
| ||
legs | 7.6 | |
| ||
fashion | 7.5 | |
| ||
cleaner | 7.3 | |
| ||
indoor | 7.3 | |
| ||
body | 7.2 | |
| ||
athlete | 7.2 | |
| ||
working | 7.1 | |
| ||
work | 7.1 | |
| ||
support | 7 | |
| ||
model | 7 | |
|
Google
created on 2019-11-16
White | 97.4 | |
| ||
Photograph | 97 | |
| ||
Black | 96.8 | |
| ||
Black-and-white | 95.7 | |
| ||
Standing | 91.4 | |
| ||
Snapshot | 90.1 | |
| ||
Monochrome | 89.6 | |
| ||
Monochrome photography | 88.8 | |
| ||
Photography | 82.2 | |
| ||
Street | 74.8 | |
| ||
Human | 74.7 | |
| ||
Pedestrian | 74.1 | |
| ||
Shadow | 69.9 | |
| ||
Style | 56.8 | |
| ||
Tints and shades | 51.7 | |
| ||
Square | 51.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 22-34 |
Gender | Male, 53.2% |
Surprised | 45.1% |
Fear | 45.1% |
Happy | 45.2% |
Sad | 50.8% |
Calm | 48.4% |
Disgusted | 45% |
Angry | 45.3% |
Confused | 45.1% |
Feature analysis
Text analysis
Amazon
HER
SEFROITZHEIM
5
SEANK
2O
S&FROITZHEIM
HERN
KEXS
SRANK
S&FROITZHEIM
HERN
KEXS
SRANK