Machine Generated Data
Tags
Amazon
created on 2022-07-01
Clarifai
created on 2025-01-09
people | 99.9 | |
| ||
group together | 99.8 | |
| ||
adult | 98.1 | |
| ||
man | 97.5 | |
| ||
group | 96.7 | |
| ||
woman | 96.7 | |
| ||
two | 96 | |
| ||
many | 95.9 | |
| ||
recreation | 94 | |
| ||
vehicle | 93.6 | |
| ||
wear | 93.2 | |
| ||
several | 92.5 | |
| ||
street | 91.5 | |
| ||
three | 90.4 | |
| ||
outfit | 89.5 | |
| ||
transportation system | 87.8 | |
| ||
sports equipment | 87.5 | |
| ||
lid | 87.1 | |
| ||
one | 87.1 | |
| ||
child | 87.1 | |
|
Imagga
created on 2022-07-01
person | 25.7 | |
| ||
man | 24.2 | |
| ||
adult | 23.3 | |
| ||
city | 19.9 | |
| ||
wheeled vehicle | 18.6 | |
| ||
exercise | 18.1 | |
| ||
sport | 18.1 | |
| ||
clothing | 17.8 | |
| ||
training | 17.5 | |
| ||
people | 17.3 | |
| ||
urban | 16.6 | |
| ||
fitness | 16.3 | |
| ||
body | 16 | |
| ||
equipment | 15.5 | |
| ||
moped | 15.3 | |
| ||
male | 14.9 | |
| ||
men | 14.6 | |
| ||
sexy | 14.5 | |
| ||
gym | 14.3 | |
| ||
active | 14.3 | |
| ||
fit | 13.8 | |
| ||
lifestyle | 13.7 | |
| ||
device | 13.6 | |
| ||
portrait | 12.9 | |
| ||
building | 12.7 | |
| ||
bike | 12.7 | |
| ||
exercise bike | 12.4 | |
| ||
unicycle | 12.4 | |
| ||
minibike | 12.3 | |
| ||
black | 12 | |
| ||
vehicle | 11.9 | |
| ||
health | 11.8 | |
| ||
workout | 11.5 | |
| ||
bicycle | 11.5 | |
| ||
indoors | 11.4 | |
| ||
healthy | 11.3 | |
| ||
exercise device | 11.2 | |
| ||
strength | 11.2 | |
| ||
outdoors | 11.2 | |
| ||
attractive | 11.2 | |
| ||
athlete | 11.1 | |
| ||
women | 11.1 | |
| ||
street | 11 | |
| ||
knee pad | 11 | |
| ||
covering | 10.9 | |
| ||
transportation | 10.8 | |
| ||
train | 10.7 | |
| ||
fashion | 10.5 | |
| ||
weight | 10.5 | |
| ||
pretty | 10.5 | |
| ||
club | 10.4 | |
| ||
motorcycle | 10.1 | |
| ||
transport | 10 | |
| ||
exercising | 9.6 | |
| ||
machine | 9.6 | |
| ||
athletic | 9.6 | |
| ||
model | 9.3 | |
| ||
two | 9.3 | |
| ||
sports | 9.2 | |
| ||
consumer goods | 9.2 | |
| ||
protective garment | 8.8 | |
| ||
happy | 8.8 | |
| ||
slim | 8.3 | |
| ||
inside | 8.3 | |
| ||
indoor | 8.2 | |
| ||
one | 8.2 | |
| ||
worker | 8 | |
| ||
interior | 8 | |
| ||
smile | 7.8 | |
| ||
architecture | 7.8 | |
| ||
sports equipment | 7.8 | |
| ||
youth | 7.7 | |
| ||
helmet | 7.7 | |
| ||
human | 7.5 | |
| ||
leisure | 7.5 | |
| ||
industrial | 7.3 | |
| ||
job | 7.1 | |
| ||
working | 7.1 | |
|
Google
created on 2022-07-01
Black-and-white | 83.1 | |
| ||
Shorts | 78.8 | |
| ||
Fence | 75.9 | |
| ||
Swimwear | 72.3 | |
| ||
Human leg | 72.3 | |
| ||
Hat | 70.9 | |
| ||
Monochrome photography | 69.9 | |
| ||
Monochrome | 69.6 | |
| ||
Recreation | 67.7 | |
| ||
Fun | 66.3 | |
| ||
Metal | 63.4 | |
| ||
Personal protective equipment | 62.2 | |
| ||
Crew | 60.6 | |
| ||
Leisure | 58.6 | |
| ||
Sitting | 57.7 | |
| ||
Street | 57.6 | |
| ||
Reflection | 55.6 | |
| ||
Shadow | 55.1 | |
| ||
Team | 53.7 | |
| ||
Aviation | 53.6 | |
|
Microsoft
created on 2022-07-01
outdoor | 94.1 | |
| ||
person | 89.8 | |
| ||
clothing | 83.2 | |
| ||
black and white | 78.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-28 |
Gender | Male, 55.6% |
Sad | 56.5% |
Disgusted | 33.2% |
Calm | 29.3% |
Surprised | 6.7% |
Fear | 6.3% |
Confused | 2.7% |
Happy | 2.4% |
Angry | 1.9% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 95.3% | |
| ||
people portraits | 2.3% | |
| ||
paintings art | 1.3% | |
|
Captions
Microsoft
created on 2022-07-01
a group of football players posing for a picture | 84% | |
| ||
a group of football players posing for a photo | 80.3% | |
| ||
a group of people posing for the camera | 80.2% | |
|