Human Generated Data

Title

Untitled (officers saluting; technicians at radio control center, Vietnam)
Date

1967-68
People

Artist: Gordon W. Gahan, American 1945 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.216

Human Generated Data

Title

Untitled (officers saluting; technicians at radio control center, Vietnam)

People

Artist: Gordon W. Gahan, American 1945 - 1984

Date

1967-68

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.216

Machine Generated Data

Tags

Amazon
created on 2023-10-25

Art 100
Collage 100
Person 97.4
Person 97.2
Person 97.1
Adult 97.1
Male 97.1
Man 97.1
Person 96.9
Adult 96.9
Male 96.9
Man 96.9
Person 96.9
Person 96.7
Person 96.6
Person 95.5
Adult 95.5
Male 95.5
Man 95.5
Person 95
Person 95
Person 94.9
Person 94.8
Adult 94.8
Male 94.8
Man 94.8
Person 94.4
Adult 94.4
Male 94.4
Man 94.4
Person 93.9
Person 93.9
Adult 93.9
Male 93.9
Man 93.9
Person 92.5
Person 92.1
Adult 92.1
Female 92.1
Woman 92.1
Person 91.9
Person 91.8
Person 90.4
Person 90.3
Adult 90.3
Male 90.3
Man 90.3
Person 88.9
Adult 88.9
Male 88.9
Man 88.9
Person 88.9
Person 87.8
Face 87.8
Head 87.8
Person 87.2
Person 86.6
Person 86.2
Person 85.8
Person 85.1
Person 83.9
Person 83.5
Person 76.4
Person 74.9
Person 71.9
Person 68.8
Electronics 55.7
Screen 55.7
Photo Booth 55.1

Clarifai
created on 2019-02-18

people 99.5
many 98.9
adult 97.7
vehicle 97.4
man 96.3
wear 93.5
group 93
transportation system 92.6
group together 92.6
woman 89.5
athlete 86.6
action 86.6
portrait 86.2
no person 85.6
one 84.6
competition 84.2
two 83.1
television 80.4
music 79.9
track 76.2

Imagga
created on 2019-02-18

shoe shop 74.2
shop 62.7
mercantile establishment 46.6
place of business 30.9
case 24
establishment 15.3
car 13.2
city 12.4
black 12
equipment 11.4
design 11.2
colorful 10.7
vehicle 10.7
night 10.6
travel 10.5
sea 10.1
light 10
retro 9.8
modern 9.8
old 9.7
building 9.6
urban 9.6
water 9.3
horizontal 9.2
technology 8.9
shoes 8.6
structure 8.6
architecture 8.6
art 8.4
tourism 8.2
pattern 8.2
road 8.1
track 8
metal 8
steel 7.9
boat 7.9
sky 7.6
skyline 7.6
window 7.5
footwear 7.5
environment 7.4
street 7.3
wheeled vehicle 7.3
industrial 7.3
collection 7.2
transportation 7.2
freight car 7.1

Google
created on 2019-02-18

Team 70.5
Vehicle 56.3
Collection 55.6
Crew 53.8

Microsoft
created on 2019-02-18

indoor 87.9
black and white 87.9
street 33.7
music 25.3
car 23.6
art 23.6

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 47-53
Gender Male, 99.9%
Happy 43.1%
Confused 30.6%
Surprised 9%
Fear 6.8%
Disgusted 6.3%
Sad 4.2%
Angry 4.2%
Calm 4%

AWS Rekognition

Age 48-56
Gender Male, 100%
Happy 49.8%
Calm 40.8%
Surprised 6.9%
Fear 6.4%
Disgusted 3.3%
Sad 2.5%
Confused 1.8%
Angry 0.7%

AWS Rekognition

Age 40-48
Gender Male, 99.9%
Happy 93%
Surprised 6.5%
Fear 6%
Sad 2.3%
Disgusted 2.1%
Confused 2%
Calm 1.2%
Angry 0.3%

AWS Rekognition

Age 51-59
Gender Male, 99.9%
Confused 50.8%
Happy 23.8%
Calm 9.1%
Surprised 7.7%
Fear 7.5%
Disgusted 5.7%
Sad 3%
Angry 1.5%

AWS Rekognition

Age 42-50
Gender Male, 99.9%
Happy 90.5%
Surprised 6.6%
Fear 6%
Disgusted 3.1%
Sad 2.3%
Calm 2.1%
Confused 2.1%
Angry 0.6%

AWS Rekognition

Age 51-59
Gender Male, 99.9%
Happy 69%
Calm 20.4%
Surprised 6.9%
Fear 6.3%
Confused 4%
Sad 2.5%
Disgusted 2.2%
Angry 1%

AWS Rekognition

Age 38-46
Gender Male, 100%
Happy 52.9%
Disgusted 25.7%
Calm 12.7%
Surprised 6.9%
Fear 6.7%
Sad 2.7%
Confused 2.4%
Angry 1.2%

AWS Rekognition

Age 52-60
Gender Male, 64.6%
Happy 92.7%
Surprised 6.5%
Fear 6%
Calm 5.2%
Sad 2.3%
Disgusted 0.4%
Confused 0.4%
Angry 0.3%

AWS Rekognition

Age 52-60
Gender Male, 99%
Happy 77.9%
Calm 13.1%
Fear 6.9%
Surprised 6.5%
Sad 2.8%
Disgusted 2.3%
Angry 1%
Confused 0.9%

AWS Rekognition

Age 38-46
Gender Male, 99.3%
Happy 98.7%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Calm 0.2%
Disgusted 0.2%
Confused 0.2%
Angry 0.1%

AWS Rekognition

Age 18-24
Gender Female, 52.7%
Happy 68.8%
Surprised 9.6%
Fear 6.4%
Confused 6.2%
Angry 6.1%
Disgusted 4.6%
Sad 4.5%
Calm 2%

AWS Rekognition

Age 21-29
Gender Male, 85.8%
Angry 51%
Sad 38.2%
Calm 17.8%
Surprised 7.1%
Fear 6.3%
Disgusted 3.1%
Confused 1.6%
Happy 0.4%

AWS Rekognition

Age 19-27
Gender Male, 99.1%
Calm 57.2%
Sad 17%
Confused 12.5%
Surprised 8.8%
Fear 6.9%
Happy 3.7%
Angry 2.4%
Disgusted 1.7%

AWS Rekognition

Age 22-30
Gender Female, 72.6%
Sad 99.9%
Surprised 23.9%
Fear 6.3%
Calm 2.9%
Happy 2.1%
Disgusted 1%
Angry 0.9%
Confused 0.4%

AWS Rekognition

Age 25-35
Gender Male, 98%
Fear 27.3%
Sad 22.6%
Angry 16.5%
Happy 15.9%
Surprised 9.8%
Disgusted 8.5%
Confused 4.6%
Calm 4%

AWS Rekognition

Age 18-24
Gender Male, 99.6%
Calm 80.6%
Fear 8.9%
Surprised 8.5%
Sad 4%
Happy 1.7%
Angry 1.7%
Disgusted 0.6%
Confused 0.5%

AWS Rekognition

Age 23-31
Gender Male, 99.3%
Sad 99.8%
Angry 15.7%
Fear 10.8%
Surprised 6.4%
Calm 0.7%
Happy 0.6%
Confused 0.4%
Disgusted 0.4%

AWS Rekognition

Age 25-35
Gender Female, 88%
Sad 99.8%
Surprised 9.2%
Fear 8%
Confused 6.2%
Calm 5%
Happy 4.5%
Disgusted 3.7%
Angry 1.7%

AWS Rekognition

Age 31-41
Gender Male, 97.6%
Surprised 99.2%
Fear 6.4%
Angry 3.9%
Sad 3.1%
Confused 2%
Calm 0.9%
Disgusted 0.8%
Happy 0.3%

Microsoft Cognitive Services

Age 50
Gender Male

Microsoft Cognitive Services

Age 50
Gender Male

Microsoft Cognitive Services

Age 50
Gender Male

Microsoft Cognitive Services

Age 48
Gender Male

Feature analysis

Amazon

Person
Adult
Male
Man
Female
Woman
Person 97.4%
Person 97.2%
Person 97.1%
Person 96.9%
Person 96.9%
Person 96.7%
Person 96.6%
Person 95.5%
Person 95%
Person 95%
Person 94.9%
Person 94.8%
Person 94.4%
Person 93.9%
Person 93.9%
Person 92.5%
Person 92.1%
Person 91.9%
Person 91.8%
Person 90.4%
Person 90.3%
Person 88.9%
Person 88.9%
Person 87.8%
Person 87.2%
Person 86.6%
Person 86.2%
Person 85.8%
Person 85.1%
Person 83.9%
Person 83.5%
Person 76.4%
Person 74.9%
Person 71.9%
Person 68.8%
Adult 97.1%
Adult 96.9%
Adult 95.5%
Adult 94.8%
Adult 94.4%
Adult 93.9%
Adult 92.1%
Adult 90.3%
Adult 88.9%
Male 97.1%
Male 96.9%
Male 95.5%
Male 94.8%
Male 94.4%
Male 93.9%
Male 90.3%
Male 88.9%
Man 97.1%
Man 96.9%
Man 95.5%
Man 94.8%
Man 94.4%
Man 93.9%
Man 90.3%
Man 88.9%
Female 92.1%
Woman 92.1%

Categories

Imagga

text visuals 99%

Text analysis

Amazon

KODA
KODAK
29
KODAK PLUS
PLUS
25
SAFETO
25A
FILM
->30
31
->26A
>23
L227A
32A
28A
J K
22A
>24C
33A
->30A
RODAHO
928
LOGAN
>33A
933
->270
->294
ROOF
+26
VICE

Google

RODAN SAFETFILM →気A 332A 与33 →"33A 28 28A -> 29 KODA → 25A →25 A →2 27A →24c →15 →13 SA
RODAN
SAFETFILM
→
気
A
332A
与
33
"
33A
28
28A
-
>
29
KODA
25A
25
2
27A
24c
15
13
SA