Human Generated Data

Title

Milan photographs: 21 contact sheets of Wilmarth at factory and his Milan studio, 1973
Date

c. 1973
People

Artist: Enzo Nocera, Italian 1944 -

Classification

Archival Material
Credit Line

Harvard Art Museums/Fogg Museum, The Christopher Wilmarth Archive, Gift of Susan Wilmarth-Rabineau, CW2001.958

Human Generated Data

Title

Milan photographs: 21 contact sheets of Wilmarth at factory and his Milan studio, 1973

People

Artist: Enzo Nocera, Italian 1944 -

Date

c. 1973

Classification

Archival Material

Credit Line

Harvard Art Museums/Fogg Museum, The Christopher Wilmarth Archive, Gift of Susan Wilmarth-Rabineau, CW2001.958

Machine Generated Data

Tags

Amazon
created on 2022-01-16

Collage 99.7
Advertisement 99.7
Person 98
Human 98
Person 94.9
Person 93.4
Person 92.7
Person 91.9
Metropolis 91.7
Building 91.7
City 91.7
Town 91.7
Urban 91.7
Person 85.8
Person 83
Flyer 80.2
Brochure 80.2
Paper 80.2
Person 79.9
Person 77.6
Person 77
Person 76.5
People 70
Poster 66
Person 64.8
Person 64.1
Person 64
Person 62.6
Screen 61.8
Electronics 61.8
Person 61.6
Person 61.6
Monitor 59.5
Display 59.5
Person 57.5
Person 55.1
Person 51.2
Person 47.4

Clarifai
created on 2023-10-26

street 98.8
monochrome 97.7
city 97.2
urban 97
reflection 96.5
people 96.5
art 95.3
rain 92.1
light 91.7
abstract 91.2
water 90.6
splash 90
travel 89.6
no person 89
dirty 88.4
old 88.1
color 87.7
desktop 87.4
design 87.4
stock 87.3

Imagga
created on 2022-01-16

web site 45.3
shoe shop 44.3
night 40
city 36.6
shop 35.8
architecture 32
building 31.2
mercantile establishment 27.7
skyline 26.6
urban 25.3
modern 25.2
tower 23.3
skyscraper 23
downtown 22.1
cityscape 20.8
travel 19.7
business 18.8
light 18.7
place of business 18.4
scoreboard 17.8
landmark 17.1
signboard 16.1
buildings 16.1
stall 15.9
office 15
tourism 14.8
lights 14.8
board 14.8
equipment 14.7
dark 14.2
evening 14
famous 13
scene 13
structure 12.6
reflection 12.4
sky 12.1
street 12
technology 11.9
design 11.8
sequencer 11.2
town 11.1
tourist 10.9
black 10.8
dusk 10.5
high 10.4
construction 10.3
metropolis 9.8
landscape 9.7
text 9.6
bridge 9.4
tall 9.4
destination 9.4
water 9.3
electronic equipment 9.2
establishment 9.2
apparatus 9.2
mixer 9.1
financial 8.9
metropolitan 8.8
skyscrapers 8.8
graphic 8.8
district 8.7
screen 8.6
panorama 8.6
finance 8.4
display 8.3
style 8.2
center 8.1
industry 7.7
illuminated 7.6
development 7.6
new 7.3
river 7.1

Google
created on 2022-01-16

Rectangle 90.3
Black 89.5
Font 82.1
Technology 76.6
Art 76.5
Beauty 74.9
Facade 71.7
Eyelash 71.6
Pattern 71
Event 68.3
Display device 65.5
Magenta 64.8
Monochrome photography 64.1
Monochrome 63.8
Audio equipment 63.4
Metal 61.1
Eyewear 60.6
Symmetry 60.3
Collage 59.1
Multimedia 58.5

Microsoft
created on 2022-01-16

text 99.6
screenshot 92

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 16-22
Gender Male, 99.4%
Fear 96.3%
Angry 1.9%
Happy 0.7%
Sad 0.6%
Calm 0.3%
Surprised 0.2%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 20-28
Gender Male, 99.8%
Calm 73.4%
Fear 19.8%
Sad 2%
Confused 1.6%
Happy 1.4%
Angry 0.9%
Disgusted 0.4%
Surprised 0.4%

AWS Rekognition

Age 24-34
Gender Male, 95.2%
Sad 49%
Calm 19.3%
Disgusted 14.9%
Fear 8.3%
Happy 3.8%
Confused 2.8%
Angry 1.5%
Surprised 0.5%

AWS Rekognition

Age 29-39
Gender Male, 99.9%
Angry 47.3%
Calm 29.1%
Confused 15.1%
Happy 2.4%
Disgusted 2.3%
Surprised 1.6%
Fear 1.3%
Sad 1%

AWS Rekognition

Age 13-21
Gender Male, 96.4%
Fear 95.2%
Surprised 1.7%
Sad 1.1%
Calm 0.7%
Angry 0.6%
Happy 0.4%
Confused 0.3%
Disgusted 0.2%

AWS Rekognition

Age 26-36
Gender Male, 88.6%
Sad 39.4%
Angry 39%
Calm 15.7%
Fear 2.4%
Surprised 1.1%
Confused 1%
Happy 0.8%
Disgusted 0.6%

AWS Rekognition

Age 11-19
Gender Male, 97%
Fear 90.1%
Sad 5.2%
Calm 3%
Angry 0.8%
Happy 0.3%
Disgusted 0.2%
Surprised 0.2%
Confused 0.2%

AWS Rekognition

Age 6-12
Gender Male, 99.9%
Sad 49.9%
Angry 25%
Fear 13.1%
Calm 8.7%
Surprised 1%
Happy 0.9%
Disgusted 0.8%
Confused 0.6%

Feature analysis

Amazon

Person 98%
Poster 66%

Categories

Imagga

text visuals 77.3%
paintings art 11.4%
streetview architecture 8%
nature landscape 2.6%

Captions

Microsoft
created on 2022-01-16

a screen shot of a store window 62.7%
a screen shot of a store 62.6%
a display in a store window 55.6%

Text analysis

Amazon

SAFETY
28
32
PAN
22
PAN FILM
FILM
24
34
SAFETY FILM
KODAK
18A
22A
20
19A
25A
24A
->30
->27
->35
->26
->23A
->26A
->32A
->29A
FETT
->36A
FILM->13
->29
->20A
>25
->14A
->15A
RODAK
KODAK TRI
->31
->36
>BA
>23
->35A
KODAK TRI A PAN FILM
->34A
-16
10
->30A
->16A
TRI
->14
2BA
10A
A
KODAK TRI X PANFILM
12ODAK FILM->13
.
THE
>١١٨
ЗЗА
-
RODAK TRI x
TRI X
-13A
KODARPTRI
x
ولجاما PAN FILINDSA
- C
КОВАК
->31A
z
SODAK
>>
PANFILM
7A
KODARPTRI z PARTITA
->27A
C
KODAR-
12ODAK
5A
->4A
PARTITA
-22A
-99
FILINDSA
ولجاما

Google

FETY FILM KODAK TRII PAN TILM 2ODAK TR PAN FIL A KODAR arETY FiCPSA KODAK TRI BA 9A.. KODAK 120DAK TR 2AFAN FILMM 13 10A 13A SAFETO FILM PAN FILM KODAK SAFETY 14A 19A SAFETY F ILM KODATRI X PAR 18A 18. 15A 16 16A KOBAK 14 22 KODAK TRI X PAN FILM 22A 20A 23A KODA 24 24A →25A KODAK SAFETY FILM KODAK TRI X PAM FILM SAFETY KODAK TRIX PAN FILM KODAK FILM 26A >27A 28A 31 31A 33A 34 34A 35 3SA 36A 32
FETY
FILM
KODAK
TRII
PAN
TILM
2ODAK
TR
BA
120DAK
2AFAN
FILMM
13
10A
13A
SAFETO
SAFETY
14A
19A
F
ILM
KODATRI
X
PAR
18A
18.
15A
16
16A
KOBAK
14
22
TRI
22A
20A
23A
KODA
24
→25A
PAM
>27A
31
33A
34
34A
35
3SA
36A
32
FIL
A
KODAR
arETY
FiCPSA
9A..
24A
TRIX
26A
28A
31A