Machine Generated Data
Tags
Amazon
created on 2022-02-26
Clarifai
created on 2023-10-28
people | 99.1 | |
| ||
vehicle | 97.9 | |
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transportation system | 97.1 | |
| ||
group | 95.6 | |
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group together | 94.3 | |
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watercraft | 92 | |
| ||
several | 91.9 | |
| ||
man | 90.6 | |
| ||
adult | 90.3 | |
| ||
monochrome | 89.3 | |
| ||
two | 88.2 | |
| ||
motorboat | 87.6 | |
| ||
no person | 81.6 | |
| ||
woman | 81.2 | |
| ||
four | 80.9 | |
| ||
three | 80.6 | |
| ||
museum | 79.9 | |
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many | 79.4 | |
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aircraft | 79.3 | |
| ||
travel | 77.4 | |
|
Imagga
created on 2022-02-26
device | 40.7 | |
| ||
plotter | 24.6 | |
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bobsled | 24.2 | |
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instrument | 22.4 | |
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boat | 21.9 | |
| ||
vehicle | 21.7 | |
| ||
transportation | 21.5 | |
| ||
machine | 20.8 | |
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sled | 19.3 | |
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office | 18 | |
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technology | 17.1 | |
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speedboat | 16.5 | |
| ||
printer | 16.1 | |
| ||
equipment | 15.2 | |
| ||
grand piano | 15.1 | |
| ||
airport | 15.1 | |
| ||
work | 14.9 | |
| ||
man | 13.4 | |
| ||
travel | 13.4 | |
| ||
interior | 13.3 | |
| ||
vessel | 12.6 | |
| ||
modern | 12.6 | |
| ||
motorboat | 12.4 | |
| ||
business | 12.1 | |
| ||
piano | 12.1 | |
| ||
room | 11.3 | |
| ||
transport | 11 | |
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house | 10.9 | |
| ||
hydrofoil | 10.9 | |
| ||
water | 10.7 | |
| ||
people | 10.6 | |
| ||
computer | 10.4 | |
| ||
luxury | 10.3 | |
| ||
professional | 10.2 | |
| ||
sea | 10.2 | |
| ||
bullet train | 10.1 | |
| ||
table | 10 | |
| ||
craft | 9.9 | |
| ||
vacation | 9.8 | |
| ||
plane | 9.7 | |
| ||
flight | 9.6 | |
| ||
counter | 9.4 | |
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keyboard instrument | 9.2 | |
| ||
percussion instrument | 9.1 | |
| ||
stringed instrument | 9.1 | |
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catamaran | 8.9 | |
| ||
working | 8.8 | |
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torpedo | 8.8 | |
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indoors | 8.8 | |
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corporate | 8.6 | |
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industry | 8.5 | |
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sailboat | 8.4 | |
| ||
tourism | 8.2 | |
| ||
aircraft | 8.2 | |
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industrial | 8.2 | |
| ||
passenger train | 8.1 | |
| ||
airplane | 8 | |
| ||
lifestyle | 7.9 | |
| ||
departure | 7.9 | |
| ||
train | 7.8 | |
| ||
peripheral | 7.8 | |
| ||
standing | 7.8 | |
| ||
adult | 7.8 | |
| ||
car | 7.8 | |
| ||
chair | 7.7 | |
| ||
construction | 7.7 | |
| ||
expensive | 7.7 | |
| ||
speed | 7.3 | |
| ||
book | 7.3 | |
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yacht | 7.2 | |
| ||
home | 7.2 | |
| ||
furniture | 7.1 | |
| ||
male | 7.1 | |
| ||
sky | 7 | |
|
Google
created on 2022-02-26
Watercraft | 93.4 | |
| ||
Naval architecture | 89.8 | |
| ||
Automotive design | 84.3 | |
| ||
Motor vehicle | 81.9 | |
| ||
Piano | 70.9 | |
| ||
Monochrome photography | 70.7 | |
| ||
Advertising | 68.7 | |
| ||
Monochrome | 66.4 | |
| ||
Machine | 65.4 | |
| ||
Classic | 63.1 | |
| ||
Font | 61.6 | |
| ||
Room | 60.9 | |
| ||
Rectangle | 58.5 | |
| ||
Vintage clothing | 57.7 | |
| ||
Recreation | 57.3 | |
| ||
Art | 56.9 | |
| ||
Office equipment | 55.3 | |
| ||
Photographic paper | 50.9 | |
|
Microsoft
created on 2022-02-26
text | 99.9 | |
| ||
black and white | 88.6 | |
| ||
ship | 80.3 | |
| ||
watercraft | 57.8 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 40-48 |
Gender | Male, 93.7% |
Sad | 53.8% |
Fear | 17.3% |
Disgusted | 10.4% |
Confused | 6.7% |
Happy | 4.7% |
Calm | 3.3% |
Surprised | 1.9% |
Angry | 1.9% |

AWS Rekognition
Age | 13-21 |
Gender | Female, 99.4% |
Fear | 73% |
Happy | 14.4% |
Surprised | 5.1% |
Calm | 3% |
Sad | 1.7% |
Angry | 1.2% |
Disgusted | 0.8% |
Confused | 0.7% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

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 | 96.1% | |
| ||
streetview architecture | 2.7% | |
|
Captions
Microsoft
created on 2022-02-26
a person standing in front of a boat | 62.6% | |
| ||
a group of people on a boat | 54.4% | |
| ||
a person standing in front of a store | 54.3% | |
|
Text analysis
Amazon

WORKS

BOAT

ORONO

Inc.

LAKE

Minneapolis

MINNETONKA

SERVICE

ORONO BOAT WORKS Inc. at ORONO on LAKE MINNETONKA

at

MINNESOTA

WAYZATA, MINNESOTA

WAYZATA,

KAINER

RAILWAY

ROOMS,

NICOLLET

AVE.

WAYZATA

SHOW

TELEPHONE

SHEPARD

HARDWARE

MINNEAPOLIS

60

ONO

MINN

2209-W.Bdway.

0 ONO BOAT WORKS

on

-MARINE

TELEPHONE WAYZATA 60 DOCKAGE -MARINE RAILWAY

WAVZATA MINN

MINNEAPOLIS SHOW ROOMS, BI8 NICOLLET AVE.

0

WAVZATA

SHEPARD CRUISER

CRUISER

DOCKAGE

139°C

CANDES

BI8

eld

KODAK-ELA

TELEPHONE WAYZATA 60-DOCKAGE-MARINE RAILWAY
MINNERPOLIS SHOW ROONS, BI8 NICOLLET AVE, =
WAYZATA, MINNESOTA
2209-W.Bdway.
Minneapolis
E SERVICE
ORONO BOAT WORKS Inc at ORONO on LAKE MINNETONKA
KAINER
HARDWARE
SHEPARD CAUISED
|0 ONO BOAT WORKS
WAY
YT37A2-XAGOX

TELEPHONE

WAYZATA

60-DOCKAGE-MARINE

RAILWAY

MINNERPOLIS

SHOW

ROONS,

BI8

NICOLLET

AVE,

=

WAYZATA,

MINNESOTA

2209-W.Bdway.

Minneapolis

E

SERVICE

ORONO

BOAT

WORKS

Inc

at

on

LAKE

MINNETONKA

KAINER

HARDWARE

SHEPARD

CAUISED

|0

ONO

WAY

YT37A2-XAGOX