Machine Generated Data
Tags
Amazon
created on 2022-02-26
Railway | 100 | |
| ||
Train Track | 100 | |
| ||
Rail | 100 | |
| ||
Transportation | 100 | |
| ||
Person | 99.9 | |
| ||
Human | 99.9 | |
| ||
Person | 96.7 | |
| ||
Person | 86.7 | |
| ||
Road | 66.7 | |
| ||
Utility Pole | 64.4 | |
| ||
Gravel | 61.6 | |
| ||
Dirt Road | 61.6 | |
| ||
Train | 59.8 | |
| ||
Vehicle | 59.8 | |
|
Clarifai
created on 2023-10-29
Imagga
created on 2022-02-26
track | 100 | |
| ||
railway | 32.4 | |
| ||
transportation | 32.3 | |
| ||
railroad | 29.5 | |
| ||
cable | 29.3 | |
| ||
sky | 28.8 | |
| ||
semaphore | 27.2 | |
| ||
train | 26 | |
| ||
rail | 24.6 | |
| ||
pole | 24.1 | |
| ||
travel | 24 | |
| ||
landscape | 23.8 | |
| ||
industry | 22.2 | |
| ||
equipment | 21.1 | |
| ||
industrial | 20.9 | |
| ||
electric | 19.7 | |
| ||
road | 19 | |
| ||
metal | 18.5 | |
| ||
apparatus | 18.5 | |
| ||
wire | 18.4 | |
| ||
transport | 18.3 | |
| ||
electricity | 18 | |
| ||
rails | 17.8 | |
| ||
clouds | 17.8 | |
| ||
station | 16.5 | |
| ||
way | 16.2 | |
| ||
line | 16 | |
| ||
lines | 15.3 | |
| ||
steel | 15 | |
| ||
outdoors | 14.9 | |
| ||
urban | 14.9 | |
| ||
power | 14.3 | |
| ||
structure | 14 | |
| ||
outdoor | 13.8 | |
| ||
rod | 13.6 | |
| ||
sunset | 13.5 | |
| ||
rural | 13.2 | |
| ||
iron | 13.1 | |
| ||
tracks | 12.8 | |
| ||
cables | 12.7 | |
| ||
energy | 12.6 | |
| ||
old | 12.6 | |
| ||
scenic | 12.3 | |
| ||
perspective | 12.2 | |
| ||
cloud | 12.1 | |
| ||
city | 11.6 | |
| ||
technology | 11.1 | |
| ||
summer | 10.3 | |
| ||
architecture | 10.2 | |
| ||
bridge | 10.1 | |
| ||
field | 10 | |
| ||
tree | 10 | |
| ||
tower | 9.8 | |
| ||
electrical | 9.6 | |
| ||
high | 9.5 | |
| ||
rusty | 9.5 | |
| ||
grass | 9.5 | |
| ||
day | 9.4 | |
| ||
cloudy | 9.4 | |
| ||
lake | 9.2 | |
| ||
countryside | 9.1 | |
| ||
environment | 9 | |
| ||
horizon | 9 | |
| ||
wires | 8.9 | |
| ||
voltage | 8.8 | |
| ||
sea | 8.6 | |
| ||
vehicle | 8.5 | |
| ||
journey | 8.5 | |
| ||
stone | 8.4 | |
| ||
silhouette | 8.3 | |
| ||
scenery | 8.1 | |
| ||
mountain | 8 | |
| ||
water | 8 | |
| ||
building | 7.9 | |
| ||
locomotive | 7.9 | |
| ||
pylon | 7.9 | |
| ||
forest | 7.8 | |
| ||
scene | 7.8 | |
| ||
cargo | 7.8 | |
| ||
sunny | 7.8 | |
| ||
orange | 7.7 | |
| ||
path | 7.6 | |
| ||
tourism | 7.4 | |
| ||
street | 7.4 | |
| ||
country | 7 | |
| ||
nobody | 7 | |
|
Google
created on 2022-02-26
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-28 |
Gender | Male, 98.9% |
Sad | 43.9% |
Calm | 39.9% |
Surprised | 6.3% |
Fear | 4% |
Angry | 2% |
Confused | 1.6% |
Disgusted | 1.2% |
Happy | 0.9% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person
Utility Pole
Categories
Imagga
sunrises sunsets | 66.3% | |
| ||
nature landscape | 23.1% | |
| ||
cars vehicles | 7.5% | |
| ||
beaches seaside | 2.1% | |
|
Captions
Microsoft
created on 2022-02-26
a train that is on fire | 40.6% | |
| ||
a train on a steel track | 40.5% | |
| ||
a person standing on a train track | 40.4% | |
|
Text analysis
Amazon

8