Human Generated Data

Title

The Shortcut to the Systematic Life: Superficial Life

Date

2002

People

Artist: Tsui Kuang-Yu, Taiwanese born 1974

Classification

Audiovisual Works

Credit Line

Courtesy of the Artist and Chi-Wen Gallery, Taipei, TL42527

Human Generated Data

Title

The Shortcut to the Systematic Life: Superficial Life

People

Artist: Tsui Kuang-Yu, Taiwanese born 1974

Date

2002

Classification

Audiovisual Works

Credit Line

Courtesy of the Artist and Chi-Wen Gallery, Taipei, TL42527

Machine Generated Data

Tags

Amazon
created on 2023-05-19

Art 100
Collage 100
City 99.5
Person 98.3
Person 97.6
Person 97.5
Person 97.3
Person 97.3
Person 97.2
Person 97.1
Vehicle 97.1
Car 97.1
Transportation 97.1
Person 97
Person 96.9
Person 96.9
Car 96.8
Person 96.6
Car 96.6
Person 96.5
Person 96.5
Person 96.4
Person 96.2
Person 96
Person 96
Person 95.7
Person 95.7
Person 95.6
Person 95.4
Person 94.9
Person 94.9
Person 94.8
Person 94.8
Person 94.7
Person 94.4
Person 93.8
Person 93.7
Person 93.5
Person 93.1
Car 92.2
Person 91.9
Person 91.8
Person 91.7
Bicycle 91.7
Person 91.4
Person 91
Person 90.3
Person 89.3
Person 88.7
Person 88.6
Person 88.6
Person 88.4
Person 88.1
Bicycle 86.2
Person 86.2
Person 84.7
Person 84.4
Person 84.3
Person 83.3
Person 82.9
Wheel 82.5
Machine 82.5
Urban 82.3
Person 82.1
Wheel 80.8
Wheel 80.6
Bicycle 80
Person 79
Wheel 77.5
Person 77.1
Bicycle 76
Person 74
Wheel 72.3
Person 70.6
Wheel 70.5
Person 68.7
Person 68.6
Road 67.6
Street 67.6
Person 67.1
Person 67
Car 61.3
People 57.9
Taxi 57.8
Person 57.1
Outdoors 57
Play Area 56.2
Intersection 56.1
Shopping Mall 56
Shop 56
Car Show 55.2

Clarifai
created on 2023-10-22

race 99.4
people 99.2
street 98.9
competition 98.8
city 97.4
track 97
many 95.2
vehicle 95.1
urban 95.1
championship 94.8
event 94.6
crowd 94.3
bike 93.6
race (competition) 93.2
car 92.4
group 92.3
road 92.1
festival 92
editorial 91.8
group together 91.3

Imagga
created on 2023-05-19

city 30.7
travel 28.1
tourism 28
park 26.1
plaza 23.5
sky 20.4
building 20
car 19.8
architecture 19.5
town 19.5
urban 19.2
motor vehicle 18.7
racer 17.7
intersection 17.2
boat 16.8
sea 16.4
cityscape 15.1
water 14.7
sport 14.2
tract 14
transport 13.7
landscape 13.4
toyshop 13.4
day 13.3
buildings 13.2
shop 13.2
destination 13.1
tourist 12.9
landmark 12.6
mercantile establishment 12.4
vacation 12.3
coast 11.7
transportation 11.6
houses 11.6
panorama 11.4
vehicle 11.4
street 11
summer 10.9
house 10.9
scenery 10.8
ocean 10.8
holiday 10.7
river 10.7
scenic 10.5
wheeled vehicle 10.5
old 10.4
supermarket 10.4
beach 9.4
culture 9.4
industry 9.4
hill 9.4
stall 9.4
colorful 9.3
place 9.3
tower 8.9
people 8.9
color 8.9
resort 8.7
harbor 8.7
fishing 8.6
sunny 8.6
skyline 8.5
bay 8.5
china 8.5
clouds 8.4
grocery store 8.4
church 8.3
island 8.2
history 8
business 7.9
boats 7.8
cloud 7.7
port 7.7
downtown 7.7
outdoor 7.6
place of business 7.6
bridge 7.6
tree 7.3
marketplace 7.3
industrial 7.3
religion 7.2

Google
created on 2023-05-19

Building 88.3
Urban design 84.4
Mode of transport 84.2
Motor vehicle 83.1
Car 80.5
Vehicle 79.8
Leisure 78.1
Window 77.4
Wheel 76.8
Collage 75.3
Art 74.7
Tire 74.3
Event 70.3
Recreation 69.3
Travel 69.2
City 66.8
Tree 65.7
Tourism 65.1
Pole 64.9
Truck 60.8

Microsoft
created on 2023-05-19

vehicle 97.6
land vehicle 96.7
car 95
text 70.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 18-26
Gender Male, 93.5%
Calm 90%
Surprised 7.3%
Fear 6.1%
Sad 3.4%
Angry 1.8%
Disgusted 1.5%
Happy 0.5%
Confused 0.5%

AWS Rekognition

Age 18-26
Gender Male, 99.7%
Sad 64.4%
Calm 56.6%
Surprised 8.3%
Fear 6.3%
Angry 3.8%
Confused 1.7%
Happy 1.3%
Disgusted 1.2%

AWS Rekognition

Age 18-24
Gender Male, 90.5%
Disgusted 61.5%
Calm 20.7%
Sad 10.8%
Surprised 6.5%
Fear 6.2%
Angry 2.4%
Happy 1.3%
Confused 0.7%

AWS Rekognition

Age 16-22
Gender Male, 99.2%
Calm 74.4%
Sad 32.9%
Surprised 6.5%
Fear 6.1%
Angry 1.6%
Disgusted 0.5%
Happy 0.4%
Confused 0.3%

AWS Rekognition

Age 23-33
Gender Male, 99.9%
Calm 78.6%
Happy 18.2%
Surprised 6.4%
Fear 5.9%
Sad 2.8%
Confused 0.4%
Angry 0.3%
Disgusted 0.1%

AWS Rekognition

Age 22-30
Gender Male, 99.6%
Calm 97.8%
Surprised 6.3%
Fear 6%
Sad 2.7%
Disgusted 0.1%
Angry 0.1%
Confused 0%
Happy 0%

AWS Rekognition

Age 21-29
Gender Female, 57.8%
Happy 84.2%
Calm 12.1%
Surprised 6.6%
Fear 6%
Sad 2.5%
Angry 1%
Disgusted 0.5%
Confused 0.1%

AWS Rekognition

Age 18-26
Gender Male, 98.9%
Calm 87%
Surprised 6.8%
Fear 6.6%
Sad 4.4%
Happy 1.9%
Disgusted 1.7%
Angry 0.7%
Confused 0.6%

AWS Rekognition

Age 22-30
Gender Male, 98.6%
Calm 75.3%
Fear 14.5%
Sad 7.4%
Surprised 6.4%
Disgusted 0.2%
Happy 0.1%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 19-27
Gender Female, 94.2%
Fear 85.1%
Calm 10.9%
Sad 8.3%
Surprised 6.8%
Confused 4.2%
Disgusted 2.5%
Angry 2.3%
Happy 1.9%

AWS Rekognition

Age 21-29
Gender Male, 98.4%
Sad 86.2%
Calm 47.3%
Surprised 7.2%
Fear 6.1%
Happy 5.5%
Disgusted 3%
Confused 1.1%
Angry 1%

AWS Rekognition

Age 9-17
Gender Male, 99.3%
Happy 53.8%
Calm 41.2%
Surprised 6.7%
Fear 6%
Sad 3.1%
Angry 0.5%
Disgusted 0.3%
Confused 0.3%

AWS Rekognition

Age 7-17
Gender Female, 63.9%
Calm 94.4%
Surprised 6.5%
Fear 6%
Sad 3.3%
Happy 0.9%
Angry 0.4%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 34-42
Gender Male, 99.9%
Calm 97.4%
Surprised 6.5%
Fear 6.1%
Sad 2.2%
Disgusted 0.6%
Angry 0.5%
Happy 0.2%
Confused 0.1%

AWS Rekognition

Age 9-17
Gender Male, 98.3%
Calm 45.6%
Fear 39.6%
Surprised 6.8%
Angry 4.8%
Happy 4.2%
Sad 4%
Disgusted 3.1%
Confused 1.7%

AWS Rekognition

Age 16-24
Gender Female, 60.7%
Calm 92.2%
Fear 6.4%
Surprised 6.4%
Happy 3.1%
Sad 2.6%
Angry 0.8%
Confused 0.5%
Disgusted 0.4%

AWS Rekognition

Age 24-34
Gender Female, 80.1%
Calm 26.3%
Surprised 26.1%
Sad 22.7%
Disgusted 11.8%
Fear 10.3%
Angry 8.6%
Happy 5.4%
Confused 1.4%

AWS Rekognition

Age 9-17
Gender Male, 71.2%
Sad 100%
Calm 7.4%
Surprised 6.4%
Fear 6.2%
Confused 0.9%
Disgusted 0.7%
Angry 0.6%
Happy 0.3%

AWS Rekognition

Age 9-17
Gender Female, 73.3%
Fear 87.4%
Happy 10.5%
Sad 9%
Surprised 6.9%
Calm 3.6%
Angry 2%
Disgusted 1.3%
Confused 0.7%

AWS Rekognition

Age 21-29
Gender Male, 99.1%
Disgusted 32%
Happy 23.7%
Calm 22.6%
Surprised 10.9%
Fear 7.6%
Angry 5%
Sad 3.7%
Confused 1.7%

AWS Rekognition

Age 10-18
Gender Male, 100%
Calm 60.6%
Surprised 10.7%
Angry 8.3%
Fear 7.9%
Sad 7.3%
Disgusted 4.5%
Confused 3.9%
Happy 2.2%

AWS Rekognition

Age 25-35
Gender Female, 96.9%
Calm 53.6%
Fear 17.2%
Surprised 9.8%
Sad 7.8%
Disgusted 5%
Confused 4.2%
Angry 3.1%
Happy 1.1%

Feature analysis

Amazon

Person 98.3%
Car 97.1%
Bicycle 91.7%
Wheel 82.5%

Categories

Text analysis

Amazon

mod's
mod's hair
hair
164
317-LA
Elementary
SALE
School
ELEVEN
E
Eleme
To
FU
И
mods
moos
N
Fu
pshair
Kurang FU Eleme
SALS
9 School
Takpei Manicipal Kyeing Fu Elementary School
L
M To
Kyeing
SALI
Kurang
9
SALI +
C-058
sshair
Manicipal
+
Takpei
Columbia
M
at
كمه

Google

SALE SALE ELEVEN 誠品商場中山店 SALE ELEVEN SALE BALE SALE 1:0 MER |定做牙醫 Che SALE SALE ELEVEN ELEVEN 1 誠品商場中山店 SALE 「戀抗封性 SALE SALE SALE SALE SALE MEN F 133034 Loc pel unicipal Kvang Fu Elementary School 317-LA 13 18 M palnicipal Kvang Fu Elemey School 317-LA shair mod's hair 164 Jshair TC-058 164 FFE mod's hair
SALE
hair
-
164
Jshair
mod's
Fu
palnicipal
Kvang
TC
058
FFE
LA
shair
Elemey
School
317
pel
unicipal
Elementary
13
18
M
133034
Loc
MEN
F
商場
中山
1
ELEVEN
Che
定做
牙醫
|
0
MER
:
BALE