Machine Generated Data
Tags
Amazon
created on 2019-03-25
Clarifai
created on 2019-03-25
people | 99.3 | |
| ||
monochrome | 98.2 | |
| ||
man | 95.3 | |
| ||
light | 92.7 | |
| ||
adult | 92.2 | |
| ||
wedding | 90.8 | |
| ||
water | 89.3 | |
| ||
one | 88.9 | |
| ||
woman | 88.7 | |
| ||
sea | 88.5 | |
| ||
no person | 87.8 | |
| ||
ocean | 87 | |
| ||
winter | 83.6 | |
| ||
architecture | 81.9 | |
| ||
indoors | 80.8 | |
| ||
group | 79.7 | |
| ||
watercraft | 79.1 | |
| ||
chair | 77.4 | |
| ||
dark | 77.4 | |
| ||
illustration | 77.3 | |
|
Imagga
created on 2019-03-25
sky | 19.9 | |
| ||
architecture | 19.9 | |
| ||
tower | 18.3 | |
| ||
chandelier | 17.4 | |
| ||
equipment | 16 | |
| ||
building | 15.9 | |
| ||
ferris wheel | 14.5 | |
| ||
ride | 14 | |
| ||
construction | 13.7 | |
| ||
structure | 13.5 | |
| ||
dishwasher | 13.4 | |
| ||
lighting fixture | 13.1 | |
| ||
high | 13 | |
| ||
furniture | 12.2 | |
| ||
device | 11.4 | |
| ||
urban | 11.4 | |
| ||
industry | 11.1 | |
| ||
house | 10.9 | |
| ||
city | 10.8 | |
| ||
wall | 10.5 | |
| ||
old | 10.4 | |
| ||
technology | 10.4 | |
| ||
white goods | 10.1 | |
| ||
park | 10 | |
| ||
water | 10 | |
| ||
fixture | 10 | |
| ||
antenna | 9.9 | |
| ||
steel | 9.7 | |
| ||
metal | 9.6 | |
| ||
rotating mechanism | 9.6 | |
| ||
outdoor | 9.2 | |
| ||
travel | 9.1 | |
| ||
light | 8.7 | |
| ||
sea | 8.6 | |
| ||
furnishing | 8.6 | |
| ||
design | 8.4 | |
| ||
shopping | 8.3 | |
| ||
industrial | 8.2 | |
| ||
landmark | 8.1 | |
| ||
basket | 8 | |
| ||
home | 8 | |
| ||
black | 7.8 | |
| ||
summer | 7.7 | |
| ||
home appliance | 7.6 | |
| ||
wheel | 7.5 | |
| ||
lights | 7.4 | |
| ||
digital | 7.3 | |
| ||
business | 7.3 | |
| ||
mechanism | 7.2 | |
| ||
mechanical device | 7.2 | |
| ||
modern | 7 | |
|
Google
created on 2019-03-25
Snapshot | 82.5 | |
| ||
Photography | 62.4 | |
| ||
Black-and-white | 56.4 | |
|
Microsoft
created on 2019-03-25
black | 78.5 | |
| ||
boat | 78.5 | |
| ||
black and white | 60 | |
| ||
lighthouse | 48.8 | |
| ||
monochrome | 38.4 | |
| ||
ship | 35.5 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.3% |
Surprised | 49.6% |
Sad | 49.8% |
Disgusted | 49.6% |
Happy | 49.6% |
Confused | 49.5% |
Calm | 49.8% |
Angry | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Happy | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |
Angry | 49.7% |
Calm | 49.8% |
Surprised | 49.6% |
Sad | 49.7% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Disgusted | 49.6% |
Surprised | 49.5% |
Sad | 50.1% |
Confused | 49.5% |
Angry | 49.6% |
Happy | 49.5% |
Calm | 49.7% |
Feature analysis
Categories
Imagga
streetview architecture | 60.2% | |
| ||
interior objects | 36.1% | |
| ||
paintings art | 3.1% | |
|
Captions
Microsoft
created on 2019-03-25
a black and white photo of a person | 60.7% | |
| ||
a black and white photo of a person | 59.4% | |
| ||
black and white photo of a person | 53.6% | |
|
Text analysis
Amazon

SAFETY

KODAK

KODAK SAFETY FILM

FILM

10

KODAK SAFETY FILM
10

KODAK

SAFETY

10

FILM