Machine Generated Data
Tags
Amazon
created on 2022-01-09
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
bobsled | 32.7 | |
| ||
sled | 26.1 | |
| ||
vehicle | 26 | |
| ||
cockpit | 25.4 | |
| ||
structure | 24.1 | |
| ||
industry | 20.5 | |
| ||
steel | 20.3 | |
| ||
urban | 19.2 | |
| ||
industrial | 19 | |
| ||
transportation | 18.8 | |
| ||
building | 17 | |
| ||
metal | 16.9 | |
| ||
interior | 16.8 | |
| ||
window | 16.5 | |
| ||
construction | 16.2 | |
| ||
conveyance | 16.1 | |
| ||
architecture | 15.7 | |
| ||
modern | 15.4 | |
| ||
power | 15.1 | |
| ||
city | 14.9 | |
| ||
man | 14.9 | |
| ||
inside | 14.7 | |
| ||
balcony | 14.3 | |
| ||
device | 13.5 | |
| ||
silhouette | 13.2 | |
| ||
people | 12.8 | |
| ||
business | 12.7 | |
| ||
travel | 12.7 | |
| ||
light | 12 | |
| ||
seat | 12 | |
| ||
equipment | 12 | |
| ||
airport | 11.9 | |
| ||
factory | 11.7 | |
| ||
helmet | 11.2 | |
| ||
glass | 10.9 | |
| ||
station | 10.6 | |
| ||
reflection | 10.5 | |
| ||
sky | 10.2 | |
| ||
passenger | 10.1 | |
| ||
gate | 9.9 | |
| ||
vacation | 9.8 | |
| ||
technology | 9.6 | |
| ||
engineering | 9.5 | |
| ||
work | 9.4 | |
| ||
iron | 9.3 | |
| ||
energy | 9.2 | |
| ||
air | 9.2 | |
| ||
protection | 9.1 | |
| ||
departure | 8.8 | |
| ||
pipe | 8.7 | |
| ||
pollution | 8.6 | |
| ||
journey | 8.5 | |
| ||
fly | 8.4 | |
| ||
security | 8.3 | |
| ||
environment | 8.2 | |
| ||
transport | 8.2 | |
| ||
danger | 8.2 | |
| ||
office | 8 | |
| ||
deck | 7.9 | |
| ||
high | 7.8 | |
| ||
production | 7.8 | |
| ||
check | 7.7 | |
| ||
fuel | 7.7 | |
| ||
roof | 7.7 | |
| ||
flight | 7.7 | |
| ||
old | 7.6 | |
| ||
outdoor | 7.6 | |
| ||
plant | 7.6 | |
| ||
perspective | 7.5 | |
| ||
fun | 7.5 | |
| ||
car | 7.5 | |
| ||
safety | 7.4 | |
| ||
water | 7.3 | |
| ||
worker | 7.1 | |
| ||
night | 7.1 | |
| ||
support | 7.1 | |
|
Google
created on 2022-01-09
Black | 89.7 | |
| ||
Hat | 84.1 | |
| ||
Sleeve | 83.7 | |
| ||
Rectangle | 74.7 | |
| ||
Metal | 70.8 | |
| ||
Font | 70.3 | |
| ||
Monochrome photography | 69.3 | |
| ||
Art | 68.2 | |
| ||
Monochrome | 68 | |
| ||
Personal protective equipment | 66.2 | |
| ||
Stock photography | 63.5 | |
| ||
Fence | 61.6 | |
| ||
Handrail | 58.8 | |
| ||
Room | 57 | |
| ||
Window | 56.4 | |
| ||
Glass | 53.9 | |
| ||
Eyewear | 53.3 | |
| ||
Visual arts | 53 | |
| ||
T-shirt | 52.5 | |
|
Microsoft
created on 2022-01-09
text | 96.3 | |
| ||
black and white | 95.3 | |
| ||
toddler | 89.9 | |
| ||
person | 88.3 | |
| ||
human face | 88 | |
| ||
child | 83.5 | |
| ||
boy | 83.3 | |
| ||
baby | 80 | |
| ||
monochrome | 68.4 | |
| ||
playground | 65.9 | |
| ||
clothing | 63.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 6-14 |
Gender | Female, 97.2% |
Fear | 83.7% |
Calm | 11% |
Surprised | 2.8% |
Angry | 1.2% |
Disgusted | 0.6% |
Confused | 0.3% |
Sad | 0.2% |
Happy | 0.2% |
Feature analysis
Text analysis
Amazon
12061
1206
12061.
a
1206 a KODAN 12061.
KODAN
12061
12061
12061
YAGOX-YT37A2-AMT
12 06
12061
YAGOX-YT37A2-AMT
12
06