Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
railway | 99.1 | |
| ||
transportation system | 99 | |
| ||
train | 98.9 | |
| ||
monochrome | 98.8 | |
| ||
people | 98.7 | |
| ||
vehicle | 98.6 | |
| ||
street | 98.3 | |
| ||
locomotive | 97.8 | |
| ||
group together | 95.8 | |
| ||
road | 91.9 | |
| ||
adult | 90.3 | |
| ||
black and white | 89.3 | |
| ||
track | 88.3 | |
| ||
tram | 87.5 | |
| ||
group | 86.6 | |
| ||
city | 86.6 | |
| ||
engine | 84.8 | |
| ||
horizontal plane | 84.7 | |
| ||
many | 83.4 | |
| ||
car | 82.6 | |
|
Imagga
created on 2019-05-29
passenger car | 100 | |
| ||
car | 100 | |
| ||
wheeled vehicle | 99.5 | |
| ||
vehicle | 84 | |
| ||
train | 51 | |
| ||
transportation | 48.5 | |
| ||
conveyance | 45.6 | |
| ||
transport | 43 | |
| ||
railway | 36.3 | |
| ||
rail | 34.4 | |
| ||
railroad | 33.4 | |
| ||
travel | 33.1 | |
| ||
station | 30.4 | |
| ||
track | 27.7 | |
| ||
locomotive | 26.9 | |
| ||
engine | 25.1 | |
| ||
streetcar | 22.2 | |
| ||
tramway | 22 | |
| ||
old | 19.5 | |
| ||
urban | 19.2 | |
| ||
sky | 19.2 | |
| ||
city | 19.1 | |
| ||
road | 19 | |
| ||
freight car | 17.4 | |
| ||
electric | 16.9 | |
| ||
tracks | 16.7 | |
| ||
wagon | 16.6 | |
| ||
transit | 14.8 | |
| ||
street | 14.7 | |
| ||
cargo | 14.6 | |
| ||
industry | 14.5 | |
| ||
traffic | 14.3 | |
| ||
passenger | 13.9 | |
| ||
power | 13.4 | |
| ||
speed | 12.8 | |
| ||
tourist | 12.7 | |
| ||
tourism | 12.4 | |
| ||
rails | 11.9 | |
| ||
subway | 11.8 | |
| ||
steam | 11.7 | |
| ||
architecture | 10.9 | |
| ||
industrial | 10.9 | |
| ||
freight | 10.8 | |
| ||
journey | 10.4 | |
| ||
line | 10.3 | |
| ||
vintage | 9.9 | |
| ||
tram | 9.9 | |
| ||
platform | 9.8 | |
| ||
metal | 9.7 | |
| ||
cable | 9.6 | |
| ||
trip | 9.4 | |
| ||
motion | 9.4 | |
| ||
perspective | 9.4 | |
| ||
window | 9.2 | |
| ||
vacation | 9 | |
| ||
carriage | 8.9 | |
| ||
steel | 8.9 | |
| ||
building | 8.8 | |
| ||
way | 8.6 | |
| ||
container | 8.4 | |
| ||
house | 8.4 | |
| ||
historic | 8.3 | |
| ||
outdoors | 8.2 | |
| ||
commuter | 7.9 | |
| ||
commute | 7.9 | |
| ||
day | 7.9 | |
| ||
public | 7.8 | |
| ||
traveling | 7.8 | |
| ||
sunny | 7.8 | |
| ||
summer | 7.7 | |
| ||
move | 7.7 | |
| ||
iron | 7.5 | |
| ||
town | 7.4 | |
| ||
retro | 7.4 | |
| ||
holiday | 7.2 | |
| ||
rural | 7.1 | |
|
Google
created on 2019-05-29
Transport | 98.2 | |
| ||
Railway | 94.2 | |
| ||
Train | 92 | |
| ||
Rolling stock | 90.9 | |
| ||
Mode of transport | 90.3 | |
| ||
Vehicle | 89.1 | |
| ||
Locomotive | 86.4 | |
| ||
Railroad car | 80.5 | |
| ||
Passenger car | 78.2 | |
| ||
Public transport | 64.5 | |
| ||
Track | 62.6 | |
| ||
Auto part | 61.2 | |
| ||
History | 60.4 | |
| ||
Train station | 53.4 | |
| ||
Steam | 53.3 | |
|
Microsoft
created on 2019-05-29
sky | 99.9 | |
| ||
tree | 97.6 | |
| ||
outdoor | 97.3 | |
| ||
train | 96.8 | |
| ||
vehicle | 89.7 | |
| ||
land vehicle | 86.2 | |
| ||
railroad | 80.2 | |
| ||
fog | 64.2 | |
| ||
black and white | 62.2 | |
| ||
locomotive | 60.8 | |
| ||
old | 45.9 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Confused | 49.5% |
Sad | 49.7% |
Calm | 49.8% |
Surprised | 49.6% |
Disgusted | 49.5% |
Angry | 49.5% |
Happy | 49.8% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Calm | 50.2% |
Disgusted | 49.5% |
Angry | 49.5% |
Happy | 49.6% |
Surprised | 49.5% |
Sad | 49.6% |
Confused | 49.5% |