Human Generated Data

Title

[Maxim Gorky]
Date

1932
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, 2023.141

Human Generated Data

Title

[Maxim Gorky]

People

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

Date

1932

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Merrill C. Berman and Dalia S. Berman, 2023.141

Machine Generated Data

Tags

Amazon
created on 2023-04-28

Advertisement 100
Poster 100
Adult 99.4
Male 99.4
Man 99.4
Person 99.4
Face 97.1
Head 97.1
Person 87.5
Person 86.6
Person 86.5
Person 83
Adult 81.6
Person 81.6
Bride 81.6
Female 81.6
Wedding 81.6
Woman 81.6
Text 79.2
Person 78.5
Person 77.2
Person 75.6
Person 74.5
Publication 72.5
Person 72.4
Person 71.4
Person 68.5
Person 66.6
Person 66.2
Person 61.8
Person 58.2
Magazine 56.7

Clarifai
created on 2023-10-13

people 99.4
one 98.6
man 98.2
portrait 97.8
leader 96.1
adult 95.9
administration 94.1
politician 92.1
old 89.6
chair 87.6
print 86.7
text 84.8
paper 81.6
bill 81.3
art 80.1
elderly 79.6
war 77.2
business 76.6
illustration 76.1
vintage 71.9

Imagga
created on 2023-04-28

book jacket 86.5
jacket 75
wrapping 51.1
man 47.1
male 39
portrait 35
covering 34.2
person 33.9
magazine 28.4
product 24.7
people 24.6
business 24.3
adult 23.9
face 23.5
businessman 23
senior 22.5
old 22.3
handsome 21.4
money 21.3
one 20.2
creation 20.2
serious 20
looking 18.4
slick 18
professional 17.8
close 17.7
aged 17.2
expression 16.2
currency 16.2
mature 15.8
cash 15.6
office 15.3
hair 15.1
tie 14.2
glasses 13.9
executive 13.6
elderly 13.4
financial 13.4
paper 13.3
happy 13.2
dollar 13
success 12.9
banking 12.9
suit 12.6
guy 12.2
men 12
human 12
head 11.8
look 11.4
bank 10.8
smile 10.7
stamp 10.7
mail 10.5
age 10.5
bill 10.5
eyes 10.3
black 10.2
economy 10.2
casual 10.2
finance 10.1
closeup 10.1
dark 10
vintage 9.9
philately 9.9
postmark 9.9
attractive 9.8
depression 9.7
retired 9.7
collar 9.6
thinking 9.5
work 9.4
smiling 9.4
letter 9.2
alone 9.1
studio 9.1
confident 9.1
wealth 9
envelope 8.9
circa 8.9
postage 8.8
economic 8.7
retirement 8.7
corporate 8.6
smart 8.5
shirt 8.4
manager 8.4
successful 8.2
postal 7.9
masculine 7.8
bills 7.8
older 7.8
finances 7.7
exchange 7.6
retro 7.4
occupation 7.3
message 7.3
comic book 7.3
lifestyle 7.2
gray 7.2
grandfather 7.1
market 7.1

Google
created on 2023-04-28

Forehead 98.5
Chin 96.7
Poster 79.5
Font 77.1
Publication 72.1
Art 67.1
History 67
Collar 66
Paper 64.8
Advertising 63.7
Illustration 63.4
Paper product 60.5
Wrinkle 58.5
Collectable 58.4
Vintage clothing 55.1
Moustache 51.9
No expression 51.9
Suit 50.3

Microsoft
created on 2023-04-28

text 100
book 99.4
man 96.3
human face 93.7
person 89
poster 82.5
newspaper 81.2
magazine 70.9
clothing 66.5

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 51-59
Gender Male, 98.5%
Calm 48.7%
Disgusted 24.4%
Fear 10.7%
Sad 9.9%
Surprised 7.4%
Angry 2.4%
Happy 0.8%
Confused 0.7%

AWS Rekognition

Age 43-51
Gender Male, 97.7%
Fear 96.9%
Surprised 6.8%
Calm 4.8%
Sad 2.2%
Angry 0.9%
Disgusted 0.3%
Confused 0.2%
Happy 0.1%

AWS Rekognition

Age 34-42
Gender Male, 100%
Confused 42.9%
Fear 26.2%
Calm 22.9%
Surprised 9.2%
Sad 2.4%
Angry 1.6%
Disgusted 0.6%
Happy 0.6%

AWS Rekognition

Age 25-35
Gender Male, 99.9%
Sad 46.5%
Calm 34.6%
Angry 33.2%
Surprised 7.3%
Fear 6.2%
Disgusted 1.6%
Confused 1.5%
Happy 0.5%

AWS Rekognition

Age 22-30
Gender Male, 99.6%
Calm 94.2%
Surprised 7.1%
Fear 6.4%
Sad 2.3%
Confused 1.3%
Angry 0.5%
Happy 0.3%
Disgusted 0.3%

AWS Rekognition

Age 20-28
Gender Male, 99.9%
Angry 80.8%
Calm 8.5%
Surprised 7.8%
Fear 6.4%
Disgusted 3.2%
Sad 2.8%
Confused 0.8%
Happy 0.7%

AWS Rekognition

Age 18-24
Gender Male, 97%
Calm 41.7%
Surprised 24.8%
Sad 23.5%
Confused 9.7%
Fear 8.5%
Disgusted 2.6%
Happy 1.9%
Angry 1%

AWS Rekognition

Age 42-50
Gender Male, 99.2%
Fear 29.7%
Calm 26.3%
Surprised 26%
Happy 8.4%
Confused 7.6%
Angry 4.9%
Sad 3.2%
Disgusted 2.1%

AWS Rekognition

Age 21-29
Gender Male, 86.2%
Fear 35.2%
Confused 25.2%
Calm 21.8%
Sad 18%
Surprised 7.8%
Disgusted 0.8%
Angry 0.8%
Happy 0.2%

AWS Rekognition

Age 20-28
Gender Male, 88.1%
Sad 71.2%
Calm 30.2%
Angry 14.6%
Fear 11%
Surprised 9.2%
Happy 4.7%
Disgusted 1.9%
Confused 0.5%

AWS Rekognition

Age 39-47
Gender Male, 99.9%
Fear 61.5%
Calm 25.5%
Confused 16%
Surprised 9.5%
Angry 2.9%
Sad 2.4%
Disgusted 0.9%
Happy 0.5%

AWS Rekognition

Age 27-37
Gender Male, 100%
Calm 98.8%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Angry 0.2%
Disgusted 0.1%
Confused 0%
Happy 0%

AWS Rekognition

Age 36-44
Gender Male, 91.4%
Calm 63.5%
Disgusted 14.6%
Surprised 7.6%
Angry 7.5%
Fear 6.9%
Happy 4.3%
Sad 3.2%
Confused 2.1%

AWS Rekognition

Age 16-24
Gender Male, 67.9%
Angry 71.1%
Confused 9.4%
Fear 9.4%
Surprised 7.8%
Calm 3.8%
Sad 3.4%
Disgusted 1.6%
Happy 0.3%

AWS Rekognition

Age 22-30
Gender Female, 99.8%
Fear 95.6%
Calm 8.5%
Surprised 7.7%
Sad 2.3%
Disgusted 0.5%
Angry 0.3%
Happy 0.3%
Confused 0.2%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 87.9%
Surprised 6.4%
Fear 6.3%
Sad 4%
Confused 2.9%
Happy 2%
Angry 1.1%
Disgusted 0.4%

AWS Rekognition

Age 23-31
Gender Male, 100%
Sad 67.7%
Calm 63.7%
Surprised 6.4%
Fear 6.2%
Angry 2.4%
Disgusted 0.4%
Confused 0.3%
Happy 0.1%

AWS Rekognition

Age 19-27
Gender Male, 100%
Calm 39.9%
Angry 33.5%
Surprised 12.3%
Fear 6.6%
Sad 6.3%
Disgusted 5.2%
Confused 1.8%
Happy 1.2%

AWS Rekognition

Age 22-30
Gender Male, 98.9%
Calm 94.7%
Fear 7.7%
Surprised 6.4%
Sad 2.2%
Happy 0.2%
Disgusted 0.1%
Confused 0.1%
Angry 0.1%

AWS Rekognition

Age 22-30
Gender Male, 100%
Calm 96.3%
Surprised 6.4%
Fear 6%
Sad 2.8%
Confused 0.6%
Happy 0.2%
Angry 0.2%
Disgusted 0.2%

AWS Rekognition

Age 21-29
Gender Male, 55.7%
Happy 45.3%
Calm 32.7%
Surprised 8%
Fear 6.9%
Disgusted 5.2%
Sad 4.8%
Angry 3.9%
Confused 1.4%

AWS Rekognition

Age 24-34
Gender Male, 99.9%
Calm 76%
Fear 13.3%
Surprised 7.4%
Sad 3.4%
Confused 2.2%
Angry 1.9%
Disgusted 1%
Happy 0.3%

AWS Rekognition

Age 27-37
Gender Female, 93.2%
Calm 98.3%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Confused 0.4%
Happy 0.3%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Disgusted 0.1%
Angry 0.1%
Confused 0%
Happy 0%

AWS Rekognition

Age 34-42
Gender Female, 56.4%
Calm 38.8%
Angry 23.6%
Fear 13.5%
Surprised 12.2%
Confused 8.9%
Sad 3%
Disgusted 2.6%
Happy 1.6%

AWS Rekognition

Age 50-58
Gender Male, 100%
Angry 33.7%
Disgusted 19.3%
Calm 15.7%
Surprised 14.3%
Confused 11.8%
Fear 7%
Happy 3.3%
Sad 3.1%

AWS Rekognition

Age 19-27
Gender Female, 93%
Happy 72.2%
Surprised 9.4%
Fear 9%
Calm 5.4%
Confused 5.2%
Sad 3.4%
Angry 1.2%
Disgusted 0.7%

AWS Rekognition

Age 16-24
Gender Male, 99.9%
Fear 91.3%
Surprised 13.5%
Confused 6.6%
Calm 5.6%
Sad 2.4%
Angry 0.4%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 7-17
Gender Male, 76.9%
Calm 98.1%
Surprised 6.7%
Fear 5.9%
Sad 2.2%
Happy 0.2%
Disgusted 0.2%
Confused 0.2%
Angry 0.1%

AWS Rekognition

Age 29-39
Gender Male, 99.9%
Calm 99.2%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.3%
Disgusted 0.1%
Confused 0.1%
Angry 0%

AWS Rekognition

Age 24-34
Gender Female, 61.9%
Sad 100%
Calm 15%
Surprised 6.6%
Fear 6.3%
Angry 0.9%
Happy 0.8%
Disgusted 0.7%
Confused 0.4%

AWS Rekognition

Age 38-46
Gender Male, 99.7%
Sad 79.9%
Fear 74.4%
Surprised 7.3%
Disgusted 1.1%
Calm 1.1%
Confused 1%
Angry 0.9%
Happy 0.4%

AWS Rekognition

Age 10-18
Gender Male, 99.3%
Angry 93.2%
Surprised 6.7%
Fear 6.5%
Calm 2.9%
Sad 2.3%
Disgusted 0.4%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 52-60
Gender Female, 80.3%
Calm 94.5%
Surprised 6.4%
Fear 6.1%
Sad 2.4%
Happy 1.9%
Confused 0.7%
Disgusted 0.6%
Angry 0.4%

AWS Rekognition

Age 16-22
Gender Male, 99.8%
Fear 86.4%
Calm 24.4%
Surprised 7.8%
Sad 2.2%
Confused 1.6%
Angry 1.3%
Disgusted 0.6%
Happy 0.3%

AWS Rekognition

Age 22-30
Gender Male, 99.9%
Calm 95.2%
Surprised 7%
Fear 5.9%
Confused 2.6%
Sad 2.2%
Happy 0.3%
Angry 0.2%
Disgusted 0.1%

AWS Rekognition

Age 6-16
Gender Male, 100%
Calm 82.5%
Fear 10.3%
Surprised 6.9%
Sad 3.2%
Happy 1.4%
Confused 1.3%
Angry 0.8%
Disgusted 0.8%

AWS Rekognition

Age 20-28
Gender Male, 100%
Calm 98.1%
Surprised 7%
Fear 5.9%
Sad 2.2%
Confused 0.2%
Angry 0.2%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 19-27
Gender Male, 99.9%
Sad 100%
Calm 9.1%
Surprised 7.2%
Fear 6.3%
Confused 3.1%
Disgusted 0.7%
Angry 0.6%
Happy 0.4%

AWS Rekognition

Age 18-26
Gender Male, 99.8%
Calm 41.6%
Confused 16.4%
Disgusted 15.4%
Surprised 12.7%
Happy 7%
Sad 6.5%
Fear 6%
Angry 2%

AWS Rekognition

Age 19-27
Gender Female, 67.8%
Calm 80.7%
Fear 7.8%
Surprised 7.4%
Happy 5.3%
Sad 3.5%
Disgusted 1.9%
Angry 1.3%
Confused 0.6%

AWS Rekognition

Age 33-41
Gender Male, 98.4%
Calm 98.3%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Confused 0.9%
Happy 0.2%
Disgusted 0.1%
Angry 0%

AWS Rekognition

Age 19-27
Gender Male, 99.7%
Calm 47.9%
Fear 20.2%
Sad 10.4%
Happy 7.7%
Surprised 6.8%
Disgusted 6.3%
Angry 3.8%
Confused 0.8%

AWS Rekognition

Age 23-33
Gender Male, 99.9%
Calm 95.1%
Surprised 7.7%
Fear 5.9%
Sad 2.4%
Confused 0.4%
Angry 0.3%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 16-22
Gender Female, 51.7%
Sad 50%
Calm 30.8%
Fear 28.8%
Happy 7.8%
Surprised 6.9%
Disgusted 2.6%
Confused 2%
Angry 0.9%

AWS Rekognition

Age 19-27
Gender Female, 91.8%
Calm 88%
Surprised 7.2%
Fear 6.9%
Sad 3.7%
Happy 1.2%
Confused 1%
Disgusted 0.8%
Angry 0.8%

AWS Rekognition

Age 34-42
Gender Female, 94%
Calm 81.5%
Surprised 7%
Sad 6.7%
Fear 6%
Confused 3.9%
Angry 2.5%
Happy 1.3%
Disgusted 0.8%

AWS Rekognition

Age 7-17
Gender Female, 83.5%
Happy 47.2%
Surprised 34.3%
Calm 14.2%
Fear 7.8%
Sad 3.1%
Disgusted 3%
Angry 2.5%
Confused 2%

AWS Rekognition

Age 20-28
Gender Female, 78.6%
Sad 99.6%
Calm 29.8%
Surprised 7.2%
Fear 6.2%
Happy 0.7%
Angry 0.6%
Disgusted 0.4%
Confused 0.3%

AWS Rekognition

Age 39-47
Gender Female, 50.3%
Calm 56.7%
Fear 16.8%
Surprised 14.5%
Confused 6.2%
Happy 3%
Sad 2.7%
Disgusted 2.2%
Angry 2%

AWS Rekognition

Age 21-29
Gender Female, 87.2%
Calm 98.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Disgusted 0.7%
Happy 0.2%
Angry 0.1%
Confused 0%

AWS Rekognition

Age 18-26
Gender Male, 99.5%
Fear 87.8%
Calm 20.2%
Surprised 9.2%
Sad 2.4%
Happy 1.4%
Confused 0.9%
Disgusted 0.6%
Angry 0.4%

AWS Rekognition

Age 19-27
Gender Male, 89.8%
Calm 72.2%
Sad 22.1%
Fear 8.5%
Surprised 7.2%
Disgusted 0.7%
Happy 0.5%
Angry 0.5%
Confused 0.3%

AWS Rekognition

Age 23-33
Gender Female, 99.6%
Happy 62.1%
Calm 15.2%
Fear 13%
Surprised 7%
Sad 5.2%
Angry 0.9%
Disgusted 0.6%
Confused 0.5%

AWS Rekognition

Age 18-26
Gender Female, 60.1%
Calm 92.4%
Surprised 6.6%
Fear 6.1%
Sad 3.4%
Disgusted 1.2%
Happy 0.8%
Angry 0.6%
Confused 0.3%

AWS Rekognition

Age 19-27
Gender Female, 78.5%
Happy 64.7%
Fear 23.3%
Surprised 9%
Calm 3.1%
Sad 2.8%
Angry 1%
Disgusted 0.6%
Confused 0.5%

AWS Rekognition

Age 2-8
Gender Female, 91.2%
Calm 65.1%
Fear 22.6%
Surprised 12.9%
Sad 2.5%
Confused 0.5%
Disgusted 0.4%
Angry 0.3%
Happy 0.3%

AWS Rekognition

Age 37-45
Gender Male, 95.9%
Calm 99.1%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Angry 0.1%
Confused 0.1%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 39-47
Gender Male, 99.8%
Sad 100%
Surprised 6.5%
Fear 6.2%
Calm 4.2%
Happy 1.5%
Disgusted 0.8%
Angry 0.4%
Confused 0.2%

AWS Rekognition

Age 48-56
Gender Male, 98.6%
Happy 51%
Sad 49.3%
Calm 13%
Surprised 6.6%
Fear 6.2%
Confused 4.5%
Disgusted 2.3%
Angry 0.9%

AWS Rekognition

Age 23-31
Gender Male, 100%
Sad 69.6%
Confused 26.1%
Calm 16.9%
Angry 16%
Surprised 7.5%
Fear 6.5%
Disgusted 3.6%
Happy 1%

AWS Rekognition

Age 4-10
Gender Male, 97%
Calm 64.1%
Fear 17.6%
Angry 13.6%
Surprised 6.9%
Sad 2.3%
Confused 0.8%
Disgusted 0.7%
Happy 0.5%

AWS Rekognition

Age 6-16
Gender Female, 81.9%
Fear 92.1%
Calm 12.2%
Surprised 8.4%
Sad 2.8%
Happy 1.7%
Angry 1.3%
Disgusted 0.7%
Confused 0.5%

AWS Rekognition

Age 45-53
Gender Male, 99.3%
Calm 68.5%
Fear 27.9%
Surprised 7.4%
Sad 2.3%
Confused 0.9%
Angry 0.4%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 13-21
Gender Female, 70.1%
Calm 89.9%
Surprised 6.5%
Fear 6%
Sad 4.6%
Happy 1.8%
Angry 1%
Confused 0.5%
Disgusted 0.4%

AWS Rekognition

Age 25-35
Gender Male, 92.5%
Calm 88%
Surprised 7.1%
Fear 6.3%
Sad 4.6%
Disgusted 1.4%
Confused 1.1%
Happy 0.7%
Angry 0.5%

AWS Rekognition

Age 21-29
Gender Male, 99.7%
Calm 58.7%
Surprised 36.5%
Fear 6.4%
Angry 5.8%
Confused 4.3%
Sad 2.5%
Happy 2.4%
Disgusted 1.2%

AWS Rekognition

Age 22-30
Gender Female, 96.2%
Fear 38.5%
Happy 28.2%
Sad 27.7%
Calm 13.7%
Surprised 6.8%
Angry 1.3%
Disgusted 1%
Confused 0.4%

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 35
Gender Male

Microsoft Cognitive Services

Age 42
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 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

Feature analysis

Amazon

Adult 99.4%
Male 99.4%
Man 99.4%
Person 99.4%
Bride 81.6%
Female 81.6%
Woman 81.6%

Text analysis

Amazon

ВСЕМУ
ПЕРЕД
ПРИВЕТ
ПРИНЕС
ЕСЛИ,
(ЛЕНИН)
БОЙЦУ
ПРОТИВ
НЕГО
ВСЕМИРНОМУ
ПЛАМЕННЫЙ
ГОЛОВАМ,
МАКСИМУ
ЕВРОПЫ
УДАР
ТАЛАНТ,
МУ
ПРЕВРА-
ГОРЬКОМУ
ПЕРЕДОВОМУ БОЙЦУ КУЛЬТУРНОЙ РЕВОЛЮЦИИ
ПРИНЕ-
ЕГО
ПЕРЕДОВОМУ
КОТОРЫЙ
РЕВОЛЮЦИИ
ГРОМАДНЫЙ
КУЛЬТУРНОЙ
ЗАЧИНАТЕЛЮ
НАС
ГЛУПЫМ
ДЕНЬ
ЛИТЕРАТУРЫ,
СБРО-
ЗАЧИНАТЕЛЮ ПРОЛЕТАРСКОЙ ЛИТЕРАТУРЫ,
ГОЛОВАМ, КОТОРЫЙ ПРЕВРА-
ВСЕМИРНОМУ ПРОЛЕТАРСКО-
БАШКЕ
ПРОЛЕТАРСКОЙ
КРЕ-
КАПИТАЛА
ХУДОЖЕСТВЕННЫЙ ТАЛАНТ,
ДЕЛОМ
ПОСЛАТЬ
РАБОЧИХ
КАПИ-
ТАЛИСТЫ ЕВРОПЫ ВСЕ-ТАКИ
ТАКОЙ
уничто-
СТРАХА
ЛИТЕРАТУРНОЙ
ДЕЯТЕЛЬНОСТИ
БУДУЩИМ,
ХУДОЖЕСТВЕННЫЙ
БЫ
ПРОЛЕТАРСКО-
ТАЛИСТЫ
ИЗБЕЖНЫМ БУДУЩИМ, КАПИ-
СОРОКАЛЕТИЯ
ВСЕ-ТАКИ
ВСТРЕТИЛ
ПОСЛЕДНИЙ
Если
ОКОНЧАТЕЛЬНО
ЗУМЕВ
ОБЕ-
ВЫРЫТУЮ
МОГИЛУ,
ИЗБЕЖНЫМ
T. МАКСИМУ ГОРЬКОМУ
ЧТОБЫ
ДЕРЗНУТ
сил
словом
не
CET
ВПОЛНЕ
"И ЕСЛИ, ОКОНЧАТЕЛЬНО ОБЕ-
их ВСТРЕТИЛ ТАКОЙ УДАР
стьян, НЕОБХОДИМО, ЧТОБЫ
ДЛЯ НЕГО ИСТОРИЕЙ".
ДЛЯ
ПОЛЬЗЫ
Горький.
МУ ДВИЖЕНИЮ".
КОТОРЫЙ ПРИНЕС И ПРИНЕ-
стьян,
НЕОБХОДИМО,
CET МНОГО ПОЛЬЗЫ ВСЕМУ
В ДЕНЬ СОРОКАЛЕТИЯ ЛИТЕРАТУРНОЙ ДЕЯТЕЛЬНОСТИ
тился
T.
сил ЕГО в МОГИЛУ, ВПОЛНЕ
НЕ-
тился БЫ В ПОСЛЕДНИЙ УДАР
своих
ИСТОРИЕЙ".
НАС своих РАБОЧИХ и КРЕ-
ЗУМЕВ OT СТРАХА ПЕРЕД НЕ-
ДВИЖЕНИЮ".
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по БАШКЕ КАПИТАЛА и СБРО-
(M. Горький. Если враг не сдается - гго уничто-
словом и ДЕЛОМ по ГЛУПЫМ
их
враг
МНОГО
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И
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В
и
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в
по
CBOEBPEMEHHO
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,
28
Валовая
Москва
"
Типс
литография
Огиза
РСФСР
Образцовая
я
-
1
Яковлев
Техрод
Усынин
Научис
Редактор
Художник
32
ПРОЛЕТАРСКОЙ
БОЙЦУ
1.МАКСИМУ
ГОРЬКОМУ
ЛИТЕРАТУРНОЙ
ДЕЯТЕЛЬНОСТИ
ПЛАМЕННЫЙ
ПРИВЕТ
No
ВС36
И.
Горький
(
ВЫРЫТУЮ
В
КАПИТАЛА
И
ПОСледний
ЗАЧИНАТЕЛЮ ПРОЛЕТАРСКОЙ ЛИТЕРАТУРЫ, ПЕРЕДОВОМУ БОЙЦУ КУЛЬТУРНОЙ РЕВОЛЮЦИИ 1.МАКСИМУ ГОРЬКОМУ В ДЕНЬ СОРОКАЛЕТИЯ ЛИТЕРАТУРНОЙ ДЕЯТЕЛЬНОСТИ ПЛАМЕННЫЙ ПРИВЕТ Уа Гла лита No 6-23454. и огиз No ВС36 И. 38. № 860. Зак. № 2992. Тираж 5 000 ЦЕНА 1 РУБ. Сдано в производство 29 VIII 1932 г. Подписано к почати 9 1X 1932 г Ст. формат 62 88-1 ОГИЗ-ИЗОГИЗ Москва 1932 Ленинград „...ГОРЬКИЙ ГРОМАДНЫЙ ХУДОЖЕСТВЕННЫЙ ТАЛАНТ, КОТОРЫЙ ПРИНЕС И ПРИНЕ- СЕТ МНОГО ПОЛЬЗЫ ВСЕМУ ВСЕМИРНОМУ ПРОЛЕТАРСКО- му ДВИЖЕНИЮ“. (ЛЕНИН) ,,И ЕСЛИ, ОКОНЧАТЕЛЬНО ОБЕ- ЗУМЕВ ОТ СТРАХА ПЕРЕД НЕ- ИЗБЕЖНЫМ БУДУЩИМ, КАПИ- ТАЛИСТЫ ЕВРОПЫ ВСЕ-ТАКИ ДЕРЗНУТ ПОСЛАТЬ ПРОТИВ НАС СВОИХ РАБОЧИХ И КРЕ- СТЬЯН, НЕОБХОДИМО, ЧТОБЫ ИХ ВСТРЕТИЛ ТАКОЙ УДАР СЛОВОМ И ДЕЛОМ ПО ГЛУПЫМ ГОЛОВАМ, КОТОРЫЙ ПРЕВРА- ТИЛСЯ БЫ В ПОСледний удар ПО БАШКЕ КАПИТАЛА И СБРО- СИЛ ЕГО В МОГИЛУ, ВПОЛНЕ СВОЕВРЕМЕННО ВЫРЫТУЮ ДЛЯ НЕГО ИСТОРИЕЙ". (М. Горький. Если враг не сдается - его уничто- жают.) RЛУЦИС 32 Художник Научис Редактор Усынин Техрод Яковлев. 1-я Типс литография Огиза РСФСР Образцовая" Москва, Валовая, 28.
ЗАЧИНАТЕЛЮ
ЛИТЕРАТУРЫ
ПЕРЕДОВОМУ
КУЛЬТУРНОЙ
РЕВОЛЮЦИИ
ДЕНЬ
СОРОКАЛЕТИЯ
Уа
Гла
лита
6-23454
и
огиз
38.
№
860.
Зак
2992.
Тираж
5
000
ЦЕНА
РУБ
Сдано
в
производство
29
VIII
1932
г.
Подписано
к
почати
9
1X
г
Ст
формат
62
88-1
ОГИЗ
ИЗОГИЗ
Ленинград
„
...
ГОРЬКИЙ
ГРОМАДНЫЙ
ХУДОЖЕСТВЕННЫЙ
ТАЛАНТ
КОТОРЫЙ
ПРИНЕС
ПРИНЕ
СЕТ
МНОГО
ПОЛЬЗЫ
ВСЕМУ
ВСЕМИРНОМУ
ПРОЛЕТАРСКО
му
ДВИЖЕНИЮ
“
ЛЕНИН
)
,,
ЕСЛИ
ОКОНЧАТЕЛЬНО
ОБЕ
ЗУМЕВ
ОТ
СТРАХА
ПЕРЕД
НЕ
ИЗБЕЖНЫМ
БУДУЩИМ
КАПИ
ТАЛИСТЫ
ЕВРОПЫ
ВСЕ
ТАКИ
СТЬЯН
КРЕ
РАБОЧИХ
СВОИХ
НАС
ПОСЛАТЬ
ПРОТИВ
ДЕРЗНУТ
ТИЛСЯ
ПРЕВРА
ГОЛОВАМ
ПО
ГЛУПЫМ
ДЕЛОМ
СЛОВОМ
УДАР
ТАКОЙ
ВСТРЕТИЛ
ИХ
ЧТОБЫ
НЕОБХОДИМО
RЛУЦИС
жают
уничто
его
сдается
не
враг
Если
М.
ИСТОРИЕЙ
НЕГО
ДЛЯ
СВОЕВРЕМЕННО
ВПОЛНЕ
МОГИЛУ
ЕГО
СБРО
СИЛ
БАШКЕ
удар
БЫ