Human Generated Data

Title

Let's Train Millions of Qualified Workers for 518 New Factories and Plants

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, 2023.131

Human Generated Data

Title

Let's Train Millions of Qualified Workers for 518 New Factories and Plants

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, 2023.131

Machine Generated Data

Tags

Amazon
created on 2023-06-30

Advertisement 100
Poster 100
Male 98
Person 98
Adult 98
Man 98
Person 97.8
Adult 97.3
Male 97.3
Man 97.3
Person 97.3
Adult 97.2
Male 97.2
Man 97.2
Person 97.2
Adult 97.1
Man 97.1
Person 97.1
Male 97.1
Adult 95.9
Person 95.9
Male 95.9
Man 95.9
Adult 94.5
Male 94.5
Man 94.5
Person 94.5
Adult 93.8
Person 93.8
Female 93.8
Woman 93.8
Man 93.5
Adult 93.5
Male 93.5
Person 93.5
Face 92.1
Head 92.1
Adult 90.7
Man 90.7
Person 90.7
Male 90.7
Person 87.6
Person 87.4
Accessories 84.6
Sunglasses 84.6
Person 84.2
Person 84
Person 82.1
Book 80.1
Publication 80.1
Person 78.2
Person 77.2
Person 75.8
Person 65.3
Clothing 61.9
Glove 61.9
Person 61.4
Hat 56.5
People 56.3
Batman 56.2
Comics 56.2

Clarifai
created on 2023-10-13

people 99.7
woman 98.4
man 98.3
illustration 97.4
group 97.2
bill 97.2
war 96.4
adult 96.3
military 95.2
art 94.7
wear 93.4
print 93.1
child 91.5
two 91.4
recreation 91
propaganda 90.7
retro 89.8
music 88.9
sit 88.5
revolution 85.4

Imagga
created on 2023-06-30

comic book 100
print media 65.3
book jacket 31.1
man 24.9
jacket 24.2
male 20.6
money 20.4
person 18.9
wrapping 18.4
people 17.8
currency 17
stamp 16.4
mail 16.3
postmark 15.8
letter 15.6
retro 15.6
old 15.3
art 15
vintage 14.9
portrait 14.9
dollar 14.8
black 13.8
philately 13.8
postage 13.8
cash 13.7
business 13.4
financial 13.4
covering 13.3
adult 12.9
circa 12.8
face 12.8
postal 12.8
finance 12.7
envelope 12.7
bank 11.6
bill 11.4
banking 11
aged 10.9
one 10.4
close 10.3
card 10.2
closeup 10.1
symbol 10.1
message 10
paper 9.4
church 9.2
printed 8.8
conceptual 8.8
banknote 8.7
dollars 8.7
head 8.4
emotion 8.3
guy 8.3
human 8.2
style 8.2
wealth 8.1
color 7.8
ancient 7.8
us 7.7
finances 7.7
expression 7.7
post 7.6
economy 7.4
entertainment 7.4
office 7.2
team 7.2
game 7.1
hair 7.1

Google
created on 2023-06-30

Microsoft
created on 2023-06-30

text 100
poster 99.4
book 98.1
cartoon 97.9
human face 89.7
clothing 87.6
person 87.1
magazine 81.4
illustration 61.4
comic 52.7

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 36-44
Gender Male, 99.7%
Happy 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0%
Disgusted 0%
Confused 0%
Calm 0%

AWS Rekognition

Age 34-42
Gender Female, 99.7%
Happy 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0%
Disgusted 0%
Confused 0%
Calm 0%

AWS Rekognition

Age 24-34
Gender Male, 71.2%
Happy 82.8%
Fear 9.4%
Surprised 7.2%
Calm 3.1%
Sad 2.7%
Disgusted 1.3%
Angry 1.3%
Confused 0.7%

AWS Rekognition

Age 23-31
Gender Female, 79.7%
Happy 83.9%
Surprised 8.1%
Calm 7.6%
Fear 6.9%
Sad 2.4%
Disgusted 0.7%
Confused 0.5%
Angry 0.5%

AWS Rekognition

Age 23-33
Gender Male, 98.1%
Happy 95.1%
Surprised 6.6%
Fear 5.9%
Sad 2.5%
Calm 2.3%
Confused 0.3%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 28-38
Gender Female, 96.8%
Calm 69.8%
Fear 19.4%
Surprised 6.6%
Confused 5.1%
Sad 2.6%
Angry 1.5%
Disgusted 0.7%
Happy 0.7%

AWS Rekognition

Age 30-40
Gender Male, 60.9%
Happy 98.1%
Surprised 6.3%
Fear 5.9%
Sad 2.5%
Calm 0.3%
Disgusted 0.1%
Angry 0.1%
Confused 0%

AWS Rekognition

Age 25-35
Gender Male, 97.9%
Calm 99.2%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.2%
Angry 0.1%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 23-33
Gender Female, 99.8%
Calm 72.6%
Sad 12.5%
Confused 7.2%
Surprised 6.5%
Fear 6%
Angry 4.6%
Happy 0.9%
Disgusted 0.7%

AWS Rekognition

Age 23-33
Gender Female, 55.8%
Calm 79%
Surprised 13.8%
Fear 7%
Sad 3.8%
Angry 1.5%
Disgusted 1%
Confused 0.9%
Happy 0.5%

AWS Rekognition

Age 14-22
Gender Female, 94.8%
Fear 74.5%
Calm 18.3%
Sad 11.2%
Happy 8.1%
Surprised 6.4%
Disgusted 2.4%
Angry 0.8%
Confused 0.4%

Microsoft Cognitive Services

Age 44
Gender Female

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Male 98%
Person 98%
Adult 98%
Man 98%
Female 93.8%
Woman 93.8%
Sunglasses 84.6%
Glove 61.9%

Categories

Captions

Microsoft
created on 2023-06-30

a close up of a book 42.7%
close up of a book 36.5%
a close up of a book cover 36.4%

Text analysis

Amazon

РАБОЧИХ
ДАДИМ
ФАБРИК
МИЛЛИОНЫ
ЗАВОДОВ
518
КАДРОВ
ДЛЯ
ДЛЯ НОВЫХ
НОВЫХ
31
КЛУЦИС 31
КЛУЦИС
ФАБРИК И
И
МИЛЛИОНЫ КВАПИФИЦИРОВАННЫХ
30
КВАПИФИЦИРОВАННЫХ
огиз-изогиз
2426
коп
- коп
000
Пришти
444
-
la
Главлита
564K

Google

MOCKBA
1
9
3
ФРБРИК
И
Иseno
No
te
sete
Маск
Красноороо
КЛУЦИС
31
Притоа
по
Hoorws
ДЛЯ НОВЫХ огиз изогиз MOCKBA 1 9 3 1 ленинград ДАДИМ МИЛЛИОНЫ КВАЛИФИЦИРОВАННЫХ РАБОЧИХ КАДРОВ ФРБРИК И ЗАВОДОВ За Уг Гаалита No 5; 0223 3 30 № 444 Иseno No 2426 socia te sete Tepee 40000 Маск Красноороо тарс 15 КЛУЦИС 31 LUCHA BO Hon Притоа по адресу Moona Hoorws Aneacobouk cesrop
ДЛЯ
НОВЫХ
огиз
изогиз
ленинград
ДАДИМ
МИЛЛИОНЫ
КВАЛИФИЦИРОВАННЫХ
РАБОЧИХ
КАДРОВ
ЗАВОДОВ
За
Уг
Гаалита
5
;
0223
30
444
2426
socia
Tepee
40000
тарс
15
LUCHA
BO
Hon
адресу
Moona
Aneacobouk
cesrop