Machine Generated Data
Tags
Amazon
created on 2021-04-04
Clarifai
created on 2021-04-04
people | 99.6 | |
| ||
railway | 99.4 | |
| ||
train | 99.1 | |
| ||
group together | 98 | |
| ||
transportation system | 97.2 | |
| ||
vehicle | 96 | |
| ||
group | 95.4 | |
| ||
adult | 94.9 | |
| ||
no person | 94.7 | |
| ||
locomotive | 94 | |
| ||
track | 91.4 | |
| ||
street | 91 | |
| ||
many | 90.1 | |
| ||
carriage | 89.5 | |
| ||
man | 89 | |
| ||
monochrome | 87.8 | |
| ||
two | 86.6 | |
| ||
one | 83.2 | |
| ||
engine | 81 | |
| ||
wagon | 79.5 | |
|
Imagga
created on 2021-04-04
passenger car | 100 | |
| ||
car | 100 | |
| ||
wheeled vehicle | 92.7 | |
| ||
vehicle | 72.4 | |
| ||
train | 42.4 | |
| ||
travel | 35.9 | |
| ||
conveyance | 34.1 | |
| ||
transportation | 34.1 | |
| ||
transport | 29.2 | |
| ||
railroad | 25.6 | |
| ||
station | 25.1 | |
| ||
railway | 24.5 | |
| ||
urban | 23.6 | |
| ||
rail | 22.6 | |
| ||
city | 22.5 | |
| ||
architecture | 22.1 | |
| ||
track | 21.9 | |
| ||
building | 21.5 | |
| ||
road | 18.1 | |
| ||
old | 16 | |
| ||
sky | 15.9 | |
| ||
speed | 15.6 | |
| ||
engine | 15.4 | |
| ||
locomotive | 15 | |
| ||
tie | 14.4 | |
| ||
journey | 14.1 | |
| ||
subway | 13.8 | |
| ||
wagon | 12.9 | |
| ||
tracks | 12.8 | |
| ||
traffic | 12.4 | |
| ||
town | 12.1 | |
| ||
motion | 12 | |
| ||
brace | 12 | |
| ||
street | 12 | |
| ||
rails | 11.9 | |
| ||
tunnel | 11.7 | |
| ||
history | 11.6 | |
| ||
wall | 11.4 | |
| ||
industry | 11.1 | |
| ||
passenger | 11.1 | |
| ||
water | 10.7 | |
| ||
cargo | 10.7 | |
| ||
move | 10.6 | |
| ||
bridge | 10.4 | |
| ||
window | 10.1 | |
| ||
way | 10 | |
| ||
industrial | 10 | |
| ||
passage | 9.2 | |
| ||
tourism | 9.1 | |
| ||
strengthener | 9 | |
| ||
tower | 9 | |
| ||
river | 8.9 | |
| ||
metro | 8.9 | |
| ||
transit | 8.9 | |
| ||
underground | 8.9 | |
| ||
public | 8.7 | |
| ||
line | 8.6 | |
| ||
perspective | 8.5 | |
| ||
electric | 8.4 | |
| ||
landmark | 8.1 | |
| ||
commuter | 7.9 | |
| ||
business | 7.9 | |
| ||
carriage | 7.9 | |
| ||
departure | 7.9 | |
| ||
route | 7.8 | |
| ||
high | 7.8 | |
| ||
tube | 7.7 | |
| ||
modern | 7.7 | |
| ||
outdoor | 7.6 | |
| ||
fast | 7.5 | |
| ||
boat | 7.4 | |
| ||
structure | 7.4 | |
| ||
exterior | 7.4 | |
| ||
tourist | 7.3 | |
| ||
metal | 7.2 | |
| ||
steel | 7.1 | |
| ||
rural | 7.1 | |
|
Google
created on 2021-04-04
Black | 89.5 | |
| ||
Building | 87.3 | |
| ||
Window | 83.6 | |
| ||
Rolling stock | 83.2 | |
| ||
Line | 82.4 | |
| ||
Black-and-white | 82.1 | |
| ||
Railway | 79.1 | |
| ||
Vehicle | 76.3 | |
| ||
Train | 72.6 | |
| ||
Monochrome photography | 70.4 | |
| ||
Public transport | 69.2 | |
| ||
Monochrome | 68.9 | |
| ||
Font | 68.9 | |
| ||
Rectangle | 68 | |
| ||
Passenger car | 67.8 | |
| ||
Art | 66.2 | |
| ||
Railroad car | 64.1 | |
| ||
Slope | 62.1 | |
| ||
Stock photography | 61.7 | |
| ||
Illustration | 61.4 | |
|
Microsoft
created on 2021-04-04
outdoor | 99.5 | |
| ||
black and white | 83.7 | |
| ||
train | 75.7 | |
| ||
white | 69.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 16-28 |
Gender | Male, 95.9% |
Calm | 58.1% |
Angry | 19.1% |
Happy | 10.5% |
Surprised | 4% |
Fear | 2.9% |
Sad | 2.4% |
Confused | 2.2% |
Disgusted | 0.8% |

AWS Rekognition
Age | 6-16 |
Gender | Female, 79.4% |
Fear | 94.9% |
Surprised | 4.6% |
Happy | 0.1% |
Confused | 0.1% |
Calm | 0.1% |
Angry | 0.1% |
Sad | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 16-28 |
Gender | Male, 87.1% |
Fear | 61.4% |
Surprised | 18.2% |
Sad | 9.3% |
Calm | 6.7% |
Happy | 1.5% |
Confused | 1.4% |
Angry | 1.2% |
Disgusted | 0.4% |
Feature analysis
Categories
Imagga
cars vehicles | 100% | |
|
Captions
Microsoft
created on 2021-04-04
a group of people standing next to a train | 91.4% | |
| ||
a group of people standing in front of a train | 88.9% | |
| ||
a group of people standing in front of a building | 88.8% | |
|