Machine Generated Data
Tags
Amazon
created on 2023-10-23
Person | 97.3 | |
| ||
Architecture | 93.2 | |
| ||
Building | 93.2 | |
| ||
Neighborhood | 92 | |
| ||
Railway | 89.4 | |
| ||
Transportation | 89.4 | |
| ||
Vehicle | 89.4 | |
| ||
Person | 85.6 | |
| ||
Machine | 84.2 | |
| ||
Wheel | 84.2 | |
| ||
Train | 82.4 | |
| ||
Engine | 81.7 | |
| ||
Motor | 81.7 | |
| ||
Locomotive | 77.6 | |
| ||
Face | 71 | |
| ||
Head | 71 | |
| ||
Smoke | 66.4 | |
| ||
Clothing | 61.5 | |
| ||
Coat | 61.5 | |
| ||
Accessories | 60.4 | |
| ||
Bag | 60.4 | |
| ||
Handbag | 60.4 | |
| ||
City | 58 | |
| ||
Spoke | 56.7 | |
| ||
Road | 56 | |
| ||
Steam Engine | 55.8 | |
| ||
Factory | 55.7 | |
| ||
Urban | 55.6 | |
| ||
Condo | 55.1 | |
| ||
Housing | 55.1 | |
| ||
Handrail | 55.1 | |
|
Clarifai
created on 2018-08-23
street | 92.7 | |
| ||
no person | 90.4 | |
| ||
city | 90.1 | |
| ||
light | 89.9 | |
| ||
transportation system | 89.5 | |
| ||
building | 89.4 | |
| ||
architecture | 88.7 | |
| ||
train | 88.5 | |
| ||
vehicle | 88.1 | |
| ||
travel | 87.9 | |
| ||
business | 87.8 | |
| ||
old | 87.7 | |
| ||
people | 85.5 | |
| ||
monochrome | 85.2 | |
| ||
urban | 85.2 | |
| ||
industry | 85.2 | |
| ||
railway | 83 | |
| ||
modern | 81.8 | |
| ||
vintage | 80.8 | |
| ||
reflection | 80.5 | |
|
Imagga
created on 2018-08-23
device | 43.8 | |
| ||
architecture | 33.4 | |
| ||
ventilator | 30.4 | |
| ||
old | 24.4 | |
| ||
building | 21.9 | |
| ||
structure | 19.6 | |
| ||
clock | 18.2 | |
| ||
travel | 16.9 | |
| ||
history | 16.1 | |
| ||
ancient | 15.6 | |
| ||
tourism | 14.8 | |
| ||
landmark | 14.4 | |
| ||
city | 14.1 | |
| ||
stone | 14.1 | |
| ||
facade | 13.8 | |
| ||
time | 12.8 | |
| ||
style | 12.6 | |
| ||
vintage | 12.4 | |
| ||
antique | 12.1 | |
| ||
culture | 11.1 | |
| ||
palace | 10.8 | |
| ||
tower | 10.7 | |
| ||
retro | 10.6 | |
| ||
monument | 10.3 | |
| ||
grunge | 10.2 | |
| ||
money | 10.2 | |
| ||
paper | 10.2 | |
| ||
measuring instrument | 10.2 | |
| ||
exterior | 10.1 | |
| ||
religion | 9.9 | |
| ||
design | 9.6 | |
| ||
sky | 9.6 | |
| ||
window | 9.4 | |
| ||
timepiece | 9.4 | |
| ||
construction | 9.4 | |
| ||
historical | 9.4 | |
| ||
church | 9.2 | |
| ||
art | 9.1 | |
| ||
currency | 9 | |
| ||
detail | 8.8 | |
| ||
circle | 8.6 | |
| ||
indicator | 8.5 | |
| ||
sundial | 8.4 | |
| ||
instrument | 8.4 | |
| ||
tourist | 8.2 | |
| ||
close | 8 | |
| ||
university | 8 | |
| ||
house | 7.9 | |
| ||
urban | 7.9 | |
| ||
pattern | 7.5 | |
| ||
step | 7.5 | |
| ||
mechanism | 7.5 | |
| ||
prison | 7.5 | |
| ||
famous | 7.4 | |
| ||
dollar | 7.4 | |
| ||
business | 7.3 | |
| ||
financial | 7.1 | |
|
Google
created on 2018-08-23
black and white | 94 | |
| ||
monochrome photography | 89.1 | |
| ||
urban area | 88.8 | |
| ||
infrastructure | 86.7 | |
| ||
architecture | 84.6 | |
| ||
building | 78.9 | |
| ||
photography | 78.6 | |
| ||
monochrome | 76.1 | |
| ||
window | 73 | |
| ||
metropolis | 70.7 | |
| ||
facade | 68.2 | |
| ||
house | 64.7 | |
| ||
sky | 58 | |
| ||
street | 57.2 | |
| ||
angle | 54.8 | |
| ||
city | 51.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.8% |
Sad | 53% |
Calm | 23.1% |
Fear | 15.1% |
Confused | 14.5% |
Happy | 8.8% |
Surprised | 7.3% |
Disgusted | 5.6% |
Angry | 3% |
Feature analysis
Categories
Imagga
paintings art | 50.2% | |
| ||
streetview architecture | 24.4% | |
| ||
interior objects | 16% | |
| ||
cars vehicles | 8.4% | |
| ||
text visuals | 0.5% | |
| ||
food drinks | 0.2% | |
| ||
pets animals | 0.1% | |
| ||
people portraits | 0.1% | |
|
Captions
Microsoft
created on 2018-08-23
a black and white photo of a train | 59.4% | |
| ||
a black and white photo of a building | 59.3% | |
| ||
a black and white photo of a train window | 59.2% | |
|