Machine Generated Data
Tags
Amazon
created on 2019-05-29
Vehicle | 99.5 | |
| ||
Automobile | 99.5 | |
| ||
Car | 99.5 | |
| ||
Transportation | 99.5 | |
| ||
Human | 98.9 | |
| ||
Person | 98.9 | |
| ||
Person | 98.7 | |
| ||
Locomotive | 98 | |
| ||
Person | 97.8 | |
| ||
Train Track | 92 | |
| ||
Rail | 92 | |
| ||
Railway | 92 | |
| ||
Train | 89.2 | |
| ||
Machine | 84.1 | |
| ||
Engine | 74.7 | |
| ||
Motor | 74.7 | |
| ||
Steam Engine | 70.2 | |
| ||
Person | 61.2 | |
| ||
Terminal | 55.6 | |
|
Clarifai
created on 2019-05-29
street | 99.4 | |
| ||
vehicle | 98.9 | |
| ||
transportation system | 98.8 | |
| ||
monochrome | 98.6 | |
| ||
people | 98.4 | |
| ||
car | 93.6 | |
| ||
road | 93.3 | |
| ||
city | 90.9 | |
| ||
airport | 90.7 | |
| ||
train | 90 | |
| ||
rain | 89.8 | |
| ||
group together | 89.7 | |
| ||
group | 87.8 | |
| ||
railway | 87.3 | |
| ||
adult | 83.4 | |
| ||
truck | 82.9 | |
| ||
black and white | 82.5 | |
| ||
urban | 82.5 | |
| ||
no person | 82 | |
| ||
storm | 81.8 | |
|
Imagga
created on 2019-05-29
sidewalk | 38 | |
| ||
snow | 33.8 | |
| ||
shopping cart | 33.1 | |
| ||
wheeled vehicle | 31.5 | |
| ||
handcart | 26.5 | |
| ||
city | 24.9 | |
| ||
sky | 24.2 | |
| ||
winter | 22.1 | |
| ||
street | 21.2 | |
| ||
building | 20.6 | |
| ||
architecture | 20.3 | |
| ||
road | 19.9 | |
| ||
landscape | 19.3 | |
| ||
travel | 18.3 | |
| ||
intersection | 16.5 | |
| ||
weather | 15.4 | |
| ||
machine | 15.3 | |
| ||
vehicle | 14.4 | |
| ||
town | 13.9 | |
| ||
truck | 13.8 | |
| ||
cold | 13.8 | |
| ||
container | 13.4 | |
| ||
water | 13.3 | |
| ||
sea | 12.5 | |
| ||
conveyance | 12.3 | |
| ||
urban | 12.2 | |
| ||
construction | 12 | |
| ||
transportation | 11.7 | |
| ||
tower | 11.6 | |
| ||
tree | 11.5 | |
| ||
car | 11.4 | |
| ||
structure | 11.2 | |
| ||
old | 10.5 | |
| ||
industry | 10.2 | |
| ||
day | 10.2 | |
| ||
tourism | 9.9 | |
| ||
river | 9.8 | |
| ||
scenic | 9.7 | |
| ||
scene | 9.5 | |
| ||
cityscape | 9.5 | |
| ||
power | 9.2 | |
| ||
house | 9.2 | |
| ||
industrial | 9.1 | |
| ||
cannon | 8.9 | |
| ||
cars | 8.8 | |
| ||
frost | 8.6 | |
| ||
cloud | 8.6 | |
| ||
panorama | 8.6 | |
| ||
drive | 8.5 | |
| ||
ship | 8.5 | |
| ||
clouds | 8.5 | |
| ||
ice | 8.3 | |
| ||
ocean | 8.3 | |
| ||
historic | 8.3 | |
| ||
outdoors | 8.2 | |
| ||
scenery | 8.1 | |
| ||
trees | 8 | |
| ||
rural | 7.9 | |
| ||
season | 7.8 | |
| ||
skyline | 7.6 | |
| ||
garbage truck | 7.6 | |
| ||
bay | 7.5 | |
| ||
weapon | 7.3 | |
| ||
motor vehicle | 7.2 | |
|
Google
created on 2019-05-29
Transport | 85.1 | |
| ||
Snapshot | 83.3 | |
| ||
Black-and-white | 80.7 | |
| ||
Monochrome | 72.4 | |
| ||
Photography | 70.6 | |
| ||
Vehicle | 66.6 | |
| ||
Architecture | 65.5 | |
| ||
Street | 64.9 | |
| ||
Car | 54.8 | |
| ||
Window | 53.8 | |
| ||
Tints and shades | 51.7 | |
| ||
Square | 51.2 | |
| ||
Building | 50.8 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Angry | 49.5% |
Disgusted | 49.6% |
Surprised | 49.6% |
Confused | 49.5% |
Happy | 49.6% |
Sad | 49.7% |
Calm | 50% |

AWS Rekognition
Age | 1-5 |
Gender | Female, 50.4% |
Sad | 49.9% |
Angry | 49.6% |
Disgusted | 49.5% |
Calm | 49.7% |
Confused | 49.6% |
Surprised | 49.6% |
Happy | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Happy | 49.6% |
Disgusted | 49.6% |
Confused | 49.6% |
Calm | 49.6% |
Angry | 49.6% |
Sad | 50% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
streetview architecture | 65.3% | |
| ||
nature landscape | 19.5% | |
| ||
beaches seaside | 13.3% | |
|
Captions
Microsoft
created on 2019-05-29
a black and white photo of a street | 85.5% | |
| ||
a black and white photo of a person | 77.3% | |
| ||
a black and white photo of a building | 77.2% | |
|