Human Generated Data

Title

May 1 - In the Struggle for the Five Year Plan, for Bolshevist Tempos, for the Defense of the USSR, for a Worldwide October

Date

1931

People

Artist: Gustavs Klucis (Klutsis), Latvian 1895 - 1938

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Merrill C. Berman and Dalia S. Berman, 2023.129

Human Generated Data

Title

May 1 - In the Struggle for the Five Year Plan, for Bolshevist Tempos, for the Defense of the USSR, for a Worldwide October

People

Artist: Gustavs Klucis (Klutsis), Latvian 1895 - 1938

Date

1931

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Merrill C. Berman and Dalia S. Berman, 2023.129

Machine Generated Data

Tags

Amazon
created on 2023-07-07

Advertisement 100
Poster 100
People 96.8
Accessories 96.7
Glasses 96.7
Person 91.1
Person 91
Clothing 90.7
Hat 90.7
Footwear 89.9
Shoe 89.9
Person 86.7
Face 84.8
Head 84.8
Glasses 83.5
Person 83.3
Person 82.6
Person 82.1
Person 80.7
Person 80.2
Adult 80.2
Bride 80.2
Wedding 80.2
Female 80.2
Woman 80.2
Person 79.2
Person 77.7
Shoe 77
Person 76
Person 76
Factory 75.1
Architecture 75.1
Building 75.1
Person 74.3
Person 73.5
Hat 71.8
Person 71.6
Person 69.8
Hat 69.2
Shoe 66.2
Text 63.2
Person 60.6
Person 57.9
Hat 57.5
Shoe 56.8
Art 55.9
Painting 55.9
Banner 55.2

Clarifai
created on 2023-10-13

no person 99.6
outdoors 97
architecture 91.9
smoke 91.7
business 91.7
travel 90.3
pollution 87.2
people 86.7
paper 85.8
retro 85.3
sky 82.6
print 81.8
art 80.7
industry 80.6
man 80
power 79.6
smog 79.1
old 76.9
illustration 76.5
graphic design 76.1

Imagga
created on 2023-07-07

torch 54.9
light 41.3
city 40.7
building 39.8
architecture 37.6
source of illumination 32.7
tower 31.1
sky 30
structure 29.7
skyscraper 29.4
skyline 28.5
cityscape 28.4
urban 27.1
river 21.3
industrial 20.9
industry 20.5
buildings 19.8
factory 19.3
pollution 19.2
chimney 18.5
travel 18.3
landmark 18
skyscrapers 16.6
landscape 16.4
monument 15.9
environment 15.6
pole 15.6
energy 15.1
power 15.1
modern 14.7
downtown 14.4
night 14.2
construction 13.7
tall 13.2
pipe 13
aerial 12.6
sunset 12.6
gas 12.5
tourism 12.4
pedestal 12.3
high 12.1
famous 12.1
town 12.1
rod 11.8
cinema 11.7
production 11.7
plant 11.3
bridge 11.3
center 11.3
refinery 10.8
water 10.7
chemical 10.6
steel 10.6
new 10.5
old 10.4
theater 10.4
support 10.2
clouds 10.1
air 10.1
tourist 9.8
towers 9.8
business 9.7
office 9.6
fuel 9.6
dusk 9.5
smoke 9.3
history 8.9
technology 8.9
pipes 8.9
manufacturing 8.8
steam 8.7
district 8.7
park 8.7
scene 8.7
temple 8.6
capital 8.5
house 8.5
environmental 8.5
china 8.5
oil 8.4
street 8.3
global 8.2
shell 8.1
metal 8
scenic 7.9
day 7.8
sea 7.8
toxic 7.8
station 7.7
attraction 7.6
evening 7.5
supporting structure 7.4
reflection 7.3
financial 7.1
stone 7.1

Google
created on 2023-07-07

Microsoft
created on 2023-07-07

text 100
skyscraper 67.2
tower 64.7
column 13.4

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 12-20
Gender Female, 90.6%
Sad 94.8%
Calm 40.2%
Fear 9.3%
Surprised 7%
Confused 1.8%
Disgusted 1%
Angry 0.8%
Happy 0.4%

AWS Rekognition

Age 26-36
Gender Male, 71.7%
Calm 96.3%
Surprised 6.6%
Fear 6%
Sad 2.9%
Angry 0.3%
Confused 0.2%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 34-42
Gender Male, 100%
Fear 31.2%
Calm 30.9%
Angry 22.7%
Surprised 7.8%
Sad 6.1%
Confused 3%
Happy 1.9%
Disgusted 1.5%

AWS Rekognition

Age 18-26
Gender Male, 99.5%
Sad 98.5%
Calm 23.8%
Fear 8.4%
Disgusted 7.6%
Surprised 7.5%
Angry 3.1%
Confused 0.9%
Happy 0.5%

AWS Rekognition

Age 21-29
Gender Male, 99.9%
Calm 98.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.8%
Angry 0.1%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 23-31
Gender Male, 97.4%
Fear 98.1%
Surprised 6.3%
Sad 2.2%
Calm 0%
Angry 0%
Confused 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 39-47
Gender Male, 98.5%
Sad 99.9%
Calm 23%
Surprised 6.3%
Fear 6.1%
Confused 0.8%
Disgusted 0.1%
Happy 0.1%
Angry 0.1%

AWS Rekognition

Age 27-37
Gender Female, 95.6%
Calm 96.7%
Surprised 6.3%
Fear 5.9%
Sad 2.9%
Happy 0.7%
Disgusted 0.1%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 29-39
Gender Male, 99.9%
Calm 93.2%
Fear 7.1%
Surprised 6.4%
Sad 3.1%
Confused 0.3%
Angry 0.3%
Disgusted 0.2%
Happy 0.2%

AWS Rekognition

Age 20-28
Gender Male, 95.2%
Sad 37.2%
Calm 30.5%
Fear 19.5%
Surprised 11.7%
Confused 7.5%
Angry 5.3%
Disgusted 4.3%
Happy 1.3%

AWS Rekognition

Age 23-31
Gender Male, 69%
Calm 93.1%
Surprised 6.3%
Fear 6%
Happy 3.8%
Sad 2.6%
Disgusted 0.4%
Confused 0.3%
Angry 0.3%

AWS Rekognition

Age 18-26
Gender Male, 99.9%
Sad 82.6%
Angry 52.8%
Surprised 6.7%
Fear 6.4%
Calm 4.2%
Confused 1.9%
Disgusted 0.8%
Happy 0.4%

AWS Rekognition

Age 23-31
Gender Male, 100%
Calm 99.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0%
Disgusted 0%
Angry 0%
Happy 0%

AWS Rekognition

Age 38-46
Gender Female, 80.6%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.2%
Happy 0.1%
Confused 0%
Disgusted 0%

AWS Rekognition

Age 22-30
Gender Male, 57.2%
Happy 81%
Angry 7.6%
Fear 7.1%
Surprised 6.9%
Calm 3.3%
Sad 2.7%
Disgusted 1.4%
Confused 0.8%

AWS Rekognition

Age 28-38
Gender Male, 100%
Happy 34.1%
Calm 21.6%
Fear 12.6%
Surprised 11%
Angry 9.3%
Disgusted 6.9%
Sad 5.1%
Confused 2.4%

AWS Rekognition

Age 20-28
Gender Male, 99.7%
Calm 31.4%
Fear 27.2%
Angry 22.8%
Surprised 11.6%
Confused 6.1%
Happy 2.8%
Sad 2.6%
Disgusted 0.9%

AWS Rekognition

Age 24-34
Gender Male, 99.8%
Calm 52.3%
Surprised 26%
Fear 9.3%
Confused 7.8%
Sad 4.1%
Disgusted 3.1%
Angry 2.7%
Happy 2.7%

AWS Rekognition

Age 29-39
Gender Female, 72.1%
Calm 89.8%
Fear 8.1%
Surprised 6.4%
Sad 3.4%
Disgusted 0.4%
Happy 0.4%
Angry 0.4%
Confused 0.2%

AWS Rekognition

Age 18-24
Gender Male, 99.8%
Surprised 82.3%
Fear 56.9%
Calm 4%
Sad 2.3%
Angry 0.4%
Disgusted 0.1%
Happy 0.1%
Confused 0.1%

AWS Rekognition

Age 37-45
Gender Female, 56.6%
Happy 85.8%
Calm 9.8%
Surprised 6.5%
Fear 6%
Sad 2.8%
Confused 0.5%
Disgusted 0.5%
Angry 0.4%

AWS Rekognition

Age 22-30
Gender Male, 100%
Calm 72.8%
Confused 14.6%
Surprised 7.4%
Fear 6.5%
Angry 5.4%
Sad 2.7%
Disgusted 1.8%
Happy 0.1%

AWS Rekognition

Age 35-43
Gender Male, 95.9%
Calm 91.2%
Surprised 6.6%
Fear 6.1%
Sad 2.6%
Confused 2.1%
Disgusted 1.9%
Happy 1.1%
Angry 1%

AWS Rekognition

Age 23-33
Gender Male, 99.6%
Calm 92.6%
Surprised 6.6%
Fear 6.4%
Sad 2.5%
Happy 1.9%
Disgusted 1.3%
Angry 0.7%
Confused 0.2%

AWS Rekognition

Age 14-22
Gender Female, 95.8%
Surprised 73.5%
Calm 23.5%
Angry 18.2%
Fear 8%
Sad 3.1%
Disgusted 2.9%
Happy 2.6%
Confused 1.8%

AWS Rekognition

Age 18-24
Gender Male, 95.6%
Calm 76.1%
Sad 12.1%
Surprised 7.4%
Fear 6.9%
Angry 2.1%
Confused 1.7%
Happy 1.3%
Disgusted 1.2%

AWS Rekognition

Age 23-31
Gender Male, 87.4%
Calm 95.7%
Surprised 6.4%
Fear 6.1%
Sad 3%
Angry 0.4%
Happy 0.2%
Disgusted 0.2%
Confused 0.1%

AWS Rekognition

Age 20-28
Gender Female, 61.7%
Calm 42.8%
Fear 36.8%
Surprised 12.7%
Angry 8.9%
Sad 2.9%
Confused 2.2%
Disgusted 0.9%
Happy 0.8%

AWS Rekognition

Age 23-31
Gender Male, 100%
Fear 83.3%
Calm 16.9%
Surprised 9.6%
Sad 4.1%
Angry 4.1%
Disgusted 1.4%
Confused 1.4%
Happy 0.9%

AWS Rekognition

Age 26-36
Gender Male, 67.1%
Happy 83.4%
Calm 9.1%
Surprised 6.9%
Fear 6.2%
Sad 2.8%
Disgusted 1.7%
Angry 0.9%
Confused 0.8%

AWS Rekognition

Age 19-27
Gender Male, 91.3%
Happy 94.3%
Surprised 6.4%
Fear 6.3%
Sad 2.6%
Calm 2.3%
Confused 0.3%
Angry 0.3%
Disgusted 0.2%

AWS Rekognition

Age 23-33
Gender Female, 100%
Happy 68.6%
Calm 25.2%
Fear 7.2%
Surprised 6.6%
Sad 2.6%
Angry 0.5%
Disgusted 0.4%
Confused 0.2%

AWS Rekognition

Age 22-30
Gender Male, 100%
Sad 95.5%
Calm 17.6%
Angry 15.1%
Happy 8.4%
Surprised 8.3%
Fear 7.5%
Disgusted 1.9%
Confused 1.7%

AWS Rekognition

Age 37-45
Gender Male, 97.1%
Sad 70.8%
Calm 64.5%
Surprised 6.4%
Fear 6.2%
Happy 0.5%
Disgusted 0.4%
Angry 0.3%
Confused 0.2%

AWS Rekognition

Age 39-47
Gender Male, 87.9%
Fear 97.4%
Surprised 6.3%
Sad 2.7%
Calm 2.1%
Confused 0.3%
Happy 0.2%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 30-40
Gender Male, 96.4%
Calm 74.1%
Sad 7.4%
Surprised 6.7%
Fear 6.2%
Disgusted 6.2%
Happy 6%
Angry 2.4%
Confused 0.6%

AWS Rekognition

Age 29-39
Gender Male, 81.8%
Calm 82.7%
Fear 9.3%
Surprised 6.3%
Sad 5.9%
Angry 1%
Happy 0.9%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 28-38
Gender Female, 52.9%
Happy 42.6%
Calm 37.2%
Fear 9.5%
Surprised 7.2%
Sad 5.3%
Angry 1.9%
Disgusted 1.4%
Confused 0.8%

AWS Rekognition

Age 22-30
Gender Male, 92.7%
Calm 48.9%
Happy 47.7%
Fear 6.4%
Surprised 6.4%
Sad 2.5%
Disgusted 0.3%
Confused 0.1%
Angry 0.1%

AWS Rekognition

Age 24-34
Gender Male, 98.4%
Calm 62%
Fear 22.2%
Surprised 7.4%
Happy 4.5%
Sad 4%
Angry 2.1%
Disgusted 1.5%
Confused 0.7%

AWS Rekognition

Age 21-29
Gender Female, 71.4%
Calm 38.2%
Fear 31.5%
Sad 19.1%
Surprised 8.4%
Disgusted 3.8%
Confused 3.6%
Angry 2.4%
Happy 1.9%

AWS Rekognition

Age 18-26
Gender Male, 85.8%
Sad 99.9%
Calm 7.9%
Surprised 7.3%
Fear 6.8%
Happy 4.4%
Confused 2%
Angry 1.1%
Disgusted 0.5%

AWS Rekognition

Age 9-17
Gender Male, 63.4%
Angry 47.3%
Surprised 20.2%
Happy 16%
Fear 6.8%
Disgusted 5.6%
Calm 4.7%
Sad 4.4%
Confused 3.3%

AWS Rekognition

Age 20-28
Gender Male, 99.9%
Calm 92%
Surprised 6.4%
Fear 5.9%
Sad 5.3%
Confused 0.4%
Angry 0.2%
Happy 0.2%
Disgusted 0.2%

AWS Rekognition

Age 18-24
Gender Male, 99.9%
Calm 96.3%
Surprised 6.4%
Fear 6%
Sad 2.4%
Angry 1.1%
Disgusted 0.7%
Happy 0.2%
Confused 0.2%

AWS Rekognition

Age 23-33
Gender Male, 99.9%
Fear 88.9%
Calm 14.2%
Surprised 7.1%
Sad 5.1%
Happy 2.3%
Angry 1.9%
Disgusted 0.9%
Confused 0.6%

AWS Rekognition

Age 24-34
Gender Female, 96.2%
Fear 97.5%
Surprised 6.3%
Sad 2.5%
Happy 0.8%
Calm 0.7%
Angry 0.6%
Confused 0.3%
Disgusted 0.2%

AWS Rekognition

Age 42-50
Gender Female, 98.9%
Happy 85.2%
Calm 11.8%
Surprised 6.5%
Fear 6.2%
Sad 2.6%
Disgusted 0.2%
Angry 0.2%
Confused 0.1%

AWS Rekognition

Age 20-28
Gender Male, 99.6%
Calm 57.8%
Fear 35.7%
Surprised 6.4%
Sad 3.3%
Happy 2.7%
Angry 1.9%
Disgusted 0.9%
Confused 0.9%

AWS Rekognition

Age 33-41
Gender Male, 95.9%
Angry 99.2%
Surprised 6.3%
Fear 6%
Sad 2.2%
Calm 0.1%
Happy 0.1%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 25-35
Gender Male, 99.6%
Calm 79.8%
Happy 8.9%
Surprised 7.9%
Fear 6.3%
Sad 2.6%
Angry 2.5%
Confused 1.7%
Disgusted 1.6%

AWS Rekognition

Age 14-22
Gender Male, 99%
Sad 44.8%
Calm 41.3%
Confused 15.8%
Disgusted 9%
Surprised 7%
Fear 6.1%
Angry 4.8%
Happy 1.7%

AWS Rekognition

Age 24-34
Gender Male, 100%
Calm 86%
Angry 11.9%
Surprised 6.3%
Fear 6%
Sad 2.6%
Confused 0.2%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 20-28
Gender Male, 97.9%
Calm 62.1%
Confused 17.8%
Surprised 9.7%
Fear 7.8%
Sad 4.5%
Happy 1.9%
Angry 1.7%
Disgusted 1.1%

AWS Rekognition

Age 16-22
Gender Male, 98.3%
Calm 70.4%
Sad 11.5%
Surprised 7.8%
Confused 7.6%
Fear 6.4%
Angry 3.5%
Disgusted 1.2%
Happy 0.8%

AWS Rekognition

Age 22-30
Gender Male, 97.5%
Calm 92.8%
Fear 6.8%
Surprised 6.6%
Sad 2.9%
Confused 0.8%
Angry 0.7%
Disgusted 0.5%
Happy 0.1%

AWS Rekognition

Age 22-30
Gender Female, 90.1%
Happy 81.6%
Calm 8.7%
Fear 7.3%
Surprised 6.6%
Sad 3.4%
Disgusted 1.3%
Angry 0.7%
Confused 0.3%

AWS Rekognition

Age 19-27
Gender Male, 98.4%
Fear 36%
Happy 28.3%
Calm 26.1%
Surprised 6.7%
Sad 6.1%
Angry 1.7%
Disgusted 1.4%
Confused 1.1%

AWS Rekognition

Age 18-26
Gender Male, 76.5%
Calm 71.5%
Angry 11%
Fear 9%
Surprised 6.4%
Happy 5.4%
Sad 3.2%
Disgusted 1.4%
Confused 0.5%

AWS Rekognition

Age 23-33
Gender Male, 99.8%
Angry 44.8%
Happy 27.6%
Calm 15.8%
Fear 8.5%
Surprised 6.7%
Sad 3.6%
Disgusted 1.2%
Confused 0.3%

AWS Rekognition

Age 23-31
Gender Male, 99.7%
Calm 60.7%
Sad 15.2%
Disgusted 11.2%
Surprised 8.5%
Fear 7.2%
Confused 2.3%
Angry 2.2%
Happy 1.9%

AWS Rekognition

Age 16-24
Gender Female, 71.5%
Calm 80.9%
Happy 9.5%
Surprised 6.9%
Fear 6.7%
Angry 3.7%
Sad 2.7%
Disgusted 0.6%
Confused 0.3%

AWS Rekognition

Age 20-28
Gender Male, 77.5%
Sad 99.9%
Calm 15.9%
Fear 7.2%
Surprised 6.6%
Happy 2.5%
Disgusted 2.3%
Angry 1.6%
Confused 0.5%

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 22
Gender Male

Microsoft Cognitive Services

Age 10
Gender Female

Microsoft Cognitive Services

Age 31
Gender Male

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

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

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Possible
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

Amazon

Glasses 96.7%
Person 91.1%
Hat 90.7%
Shoe 89.9%
Adult 80.2%
Bride 80.2%
Female 80.2%
Woman 80.2%

Captions

Microsoft
created on 2023-07-07

text 77.9%

Text analysis

Amazon

ЗА
ЗА ОБОРОНУ
ТЕМПЫ,
ОБОРОНУ
ВПЕРЕД
1
БОЙ
ЗА МИРОВОЙ ОКТЯБРЬ
МИРОВОЙ
ОКТЯБРЬ
СССР,
ПЯТИЛЕТКИ
ТЕМПАМ
КЛУЦИС
ВПЕРЕД К РЕШАЮЩИМ ТЕМПАМ
РЕШАЮЩИМ
К
ЗА БОЛЬШЕВИСТСКИЕ ТЕМПЫ,
КЛУЦИС 31
В БОЙ ЗА ПЯТИЛЕТКУ,
31
В
БОЛЬШЕВИСТСКИЕ
ПЯТИЛЕТКУ,
MAR

Google

M A Я та в-2147, изогия В БОИ ЗА ПЯТИЛЕТНУ, ЗА БОЛЬШЕВИСТСКИЕ ТЕМПЫ, ЗА ОБОРОНУ СССР, ОКТЯБРЬ ЗА МИРОВОЙ Цена 40 коп ПЯТИЛЕТКИ ВПЕРЕД К РЕШАЮШИМ ТЕМПАМ КЛУЦИС 31
M
Я
та
-
2147
В
БОИ
ЗА
ПЯТИЛЕТНУ
,
БОЛЬШЕВИСТСКИЕ
ТЕМПЫ
ОБОРОНУ
СССР
ОКТЯБРЬ
МИРОВОЙ
ТЕМПАМ
31
A
в
изогия
Цена
40
коп
ПЯТИЛЕТКИ
ВПЕРЕД
К
РЕШАЮШИМ
КЛУЦИС