Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
vehicle | 99.8 | |
| ||
transportation system | 99 | |
| ||
truck | 94.5 | |
| ||
heavy | 93.9 | |
| ||
people | 93.2 | |
| ||
machine | 92.8 | |
| ||
aircraft | 90.2 | |
| ||
industry | 89.9 | |
| ||
machinery | 83.8 | |
| ||
war | 83.7 | |
| ||
car | 83.6 | |
| ||
military | 83.4 | |
| ||
group | 83.1 | |
| ||
shipment | 82.8 | |
| ||
no person | 81.8 | |
| ||
freight | 79.9 | |
| ||
watercraft | 79.7 | |
| ||
group together | 77.3 | |
| ||
equipment | 76.8 | |
| ||
expression | 76.5 | |
|
Imagga
created on 2019-05-29
garbage truck | 100 | |
| ||
truck | 100 | |
| ||
motor vehicle | 88.2 | |
| ||
vehicle | 49.8 | |
| ||
wheeled vehicle | 38.4 | |
| ||
machine | 35.5 | |
| ||
transportation | 33.2 | |
| ||
transport | 26.5 | |
| ||
cargo | 23.3 | |
| ||
industry | 21.4 | |
| ||
road | 20.8 | |
| ||
sky | 18.5 | |
| ||
half track | 18.3 | |
| ||
industrial | 18.2 | |
| ||
wheel | 17 | |
| ||
construction | 16.3 | |
| ||
heavy | 16.2 | |
| ||
military vehicle | 15.2 | |
| ||
tracked vehicle | 14.9 | |
| ||
travel | 14.8 | |
| ||
driver | 14.6 | |
| ||
driving | 14.5 | |
| ||
car | 13.8 | |
| ||
lorry | 13.8 | |
| ||
machinery | 13.6 | |
| ||
old | 13.2 | |
| ||
tire | 12.7 | |
| ||
landscape | 12.6 | |
| ||
work | 12.6 | |
| ||
highway | 12.5 | |
| ||
automobile | 12.5 | |
| ||
device | 12.3 | |
| ||
equipment | 12.2 | |
| ||
semi | 11.8 | |
| ||
load | 11.8 | |
| ||
diesel | 11.8 | |
| ||
architecture | 11.7 | |
| ||
auto | 11.5 | |
| ||
outdoor | 11.5 | |
| ||
street | 11 | |
| ||
dump | 10.8 | |
| ||
tractor | 10.8 | |
| ||
deliver | 10.8 | |
| ||
freight | 10.8 | |
| ||
trailer | 10.7 | |
| ||
delivery | 10.7 | |
| ||
shipping | 10.7 | |
| ||
traffic | 10.5 | |
| ||
outdoors | 10.5 | |
| ||
drive | 10.4 | |
| ||
building | 10.3 | |
| ||
grass | 10.3 | |
| ||
container | 10.3 | |
| ||
yellow | 9.9 | |
| ||
trucking | 9.9 | |
| ||
dirt | 9.6 | |
| ||
power | 9.2 | |
| ||
environment | 9.1 | |
| ||
farm | 8.9 | |
| ||
rig | 8.9 | |
| ||
metal | 8.9 | |
| ||
working | 8.8 | |
| ||
roof | 8.6 | |
| ||
clouds | 8.5 | |
| ||
concrete mixer | 8.4 | |
| ||
summer | 8.4 | |
| ||
house | 8.4 | |
| ||
city | 8.3 | |
| ||
rural | 7.9 | |
| ||
loading | 7.9 | |
| ||
carrier | 7.9 | |
| ||
wheels | 7.8 | |
| ||
rock | 7.8 | |
| ||
water | 7.3 | |
| ||
business | 7.3 | |
| ||
wooden | 7 | |
|
Google
created on 2019-05-29
Motor vehicle | 98.2 | |
| ||
Photograph | 95 | |
| ||
Vehicle | 90.9 | |
| ||
Car | 79.3 | |
| ||
Truck | 72.6 | |
| ||
Trailer | 67.8 | |
| ||
Commercial vehicle | 67.7 | |
| ||
Wheel | 52.5 | |
|
Microsoft
created on 2019-05-29
outdoor | 92.9 | |
| ||
vehicle | 89.2 | |
| ||
wheel | 86.4 | |
| ||
transport | 77.2 | |
| ||
black | 74.8 | |
| ||
land vehicle | 73.4 | |
| ||
white | 71.8 | |
| ||
old | 67.9 | |
| ||
black and white | 57.5 | |
| ||
military vehicle | 52.5 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.3% |
Angry | 49.6% |
Sad | 49.7% |
Surprised | 49.6% |
Confused | 49.6% |
Happy | 49.6% |
Calm | 49.7% |
Disgusted | 49.9% |
Feature analysis
Categories
Imagga
interior objects | 82.2% | |
| ||
text visuals | 11.2% | |
| ||
cars vehicles | 3.1% | |
| ||
food drinks | 1.8% | |
|
Captions
Microsoft
created on 2019-05-29
a black and white photo of a truck | 87.9% | |
| ||
a vintage photo of a truck | 87.8% | |
| ||
an old black and white photo of a truck | 85.2% | |
|