Human Generated Data

Title

2nd History of the Human Face (Socket of the Eyes), Airmail Painting No. 66
Date

1989
People

Artist: Eugenio Dittborn, Chilean born 1943
Classification

Paintings
Credit Line

Harvard Art Museums/Fogg Museum, Margaret Fisher Fund, 2013.11
Copyright

© Eugenio Dittborn. Image courtesy Alexander and Bonin, New York

Human Generated Data

Title

2nd History of the Human Face (Socket of the Eyes), Airmail Painting No. 66

People

Artist: Eugenio Dittborn, Chilean born 1943

Date

1989

Classification

Paintings

Machine Generated Data

Tags

Amazon
created on 2020-04-24

Person 98.7
Human 98.7
Text 98.2
Advertisement 96.5
Poster 95.9
Collage 95.9
Person 95.4
Person 94.7
Person 94.6
Person 94.4
Person 94.4
Person 91.8
Person 91.1
Person 89.7
Person 88.1
Label 88
Person 87.6
Person 86.7
Person 86.3
Person 85.8
Person 85.6
Person 84.9
Person 84.7
Person 84
Person 84
Person 83.3
Person 82.7
Person 82.3
Person 75.5
Drawing 74.3
Art 74.3
Paper 68.3
Person 66
Brochure 55.7
Flyer 55.7

Clarifai
created on 2020-04-24

people 99.2
adult 96.9
man 96.5
illustration 95.1
woman 94.6
group 93.8
art 89.4
portrait 88.7
girl 85.8
sign 84.9
one 84.6
many 83.8
paper 83.1
money 82.5
child 81.7
text 80.9
retro 80.8
print 80.6
education 79.1
several 78.9

Imagga
created on 2020-04-24

money 45.1
currency 43.1
cash 37.5
finance 34.6
business 30.4
banking 28.5
bank 26
note 23
bill 21.9
wealth 21.5
banknote 21.4
paper 19.4
banknotes 18.6
notes 18.2
savings 17.7
pay 17.3
shower curtain 17
financial 16.9
success 16.1
container 15.8
cotton 15.6
rich 14.9
payment 14.4
paper towel 14.3
symbol 13.5
curtain 13.4
profit 13.4
flag 13.4
country 13.2
commerce 13.1
economy 13
fabric 12.2
investment 11.9
menu 11.8
exchange 11.5
towel 11.4
bills 10.7
nation 10.4
furnishing 10.3
stock 10.3
dollar 10.2
blind 10.1
national 10
fare 9.8
sign 9.8
stamp 9.5
world 8.9
protective covering 8.8
prosperity 8.8
graphic 8.8
hundred 8.7
debt 8.7
loan 8.6
coin 8.6
save 8.5
card 8.5
web 8.5
packet 8.5
market 8
ten 7.9
spending 7.8
monetary 7.8
toilet tissue 7.8
paying 7.8
value 7.8
envelope 7.7
travel 7.7
pound 7.7
union 7.7
design 7.7
navigation 7.7
state 7.7
website 7.6
food 7.4
collection 7.2
art 7.2
concepts 7.1

Google
created on 2020-04-24

Text 93.6
Font 85.6
Visual arts 66.9
Collection 66.8
Art 62.5
Exhibition 57.6

Microsoft
created on 2020-04-24

drawing 99.4
text 96.4
human face 92.7
painting 79.9
handwriting 78.4
covered 75.4
art 72.7
sketch 72.5
white 63.6
person 56.5
whiteboard 54
child art 53

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 21-33
Gender Female, 69.7%
Fear 0.3%
Sad 53.3%
Disgusted 0.1%
Happy 0.1%
Confused 0.8%
Calm 33.3%
Surprised 0.1%
Angry 11.8%

AWS Rekognition

Age 22-34
Gender Male, 99.4%
Confused 1.1%
Sad 1.2%
Calm 94.7%
Surprised 2.4%
Happy 0.2%
Fear 0.1%
Disgusted 0.1%
Angry 0.2%

AWS Rekognition

Age 34-50
Gender Male, 99.4%
Fear 0%
Calm 96.7%
Disgusted 0.4%
Happy 0.1%
Angry 1%
Sad 0.5%
Surprised 0.2%
Confused 1.1%

AWS Rekognition

Age 25-39
Gender Male, 79.2%
Calm 97.9%
Disgusted 0.1%
Angry 0.2%
Fear 0.1%
Confused 0.1%
Happy 0.3%
Surprised 0.4%
Sad 0.9%

AWS Rekognition

Age 26-42
Gender Male, 96.5%
Sad 17.2%
Disgusted 1.6%
Angry 38.9%
Fear 6.2%
Surprised 2.5%
Happy 0.4%
Calm 12.6%
Confused 20.5%

AWS Rekognition

Age 23-35
Gender Male, 97.6%
Happy 0.2%
Sad 3.1%
Confused 9.2%
Fear 3.1%
Disgusted 1.1%
Angry 1.2%
Surprised 4.4%
Calm 77.7%

AWS Rekognition

Age 17-29
Gender Female, 64.7%
Angry 0.1%
Sad 99.1%
Happy 0%
Calm 0.3%
Surprised 0%
Fear 0.3%
Confused 0%
Disgusted 0.2%

AWS Rekognition

Age 27-43
Gender Male, 98.9%
Fear 0.6%
Disgusted 0.1%
Angry 1.3%
Happy 0.3%
Surprised 1.8%
Calm 92.5%
Sad 1.6%
Confused 1.6%

AWS Rekognition

Age 37-55
Gender Female, 52.3%
Fear 45.2%
Disgusted 45.2%
Sad 48%
Angry 50%
Calm 45.8%
Confused 45.6%
Happy 45%
Surprised 45.1%

AWS Rekognition

Age 15-27
Gender Female, 51.5%
Fear 45.1%
Surprised 45%
Calm 45.1%
Confused 45.1%
Disgusted 45.1%
Happy 45%
Sad 53.7%
Angry 45.9%

AWS Rekognition

Age 39-57
Gender Male, 98.7%
Angry 0.3%
Calm 89.9%
Surprised 0.1%
Sad 8.3%
Happy 0.9%
Fear 0.2%
Disgusted 0.1%
Confused 0.2%

AWS Rekognition

Age 37-55
Gender Male, 60.8%
Angry 96.8%
Disgusted 0.1%
Surprised 0.1%
Fear 2.3%
Happy 0%
Confused 0.1%
Calm 0.1%
Sad 0.5%

AWS Rekognition

Age 33-49
Gender Female, 54.9%
Angry 46.8%
Disgusted 45%
Sad 45.1%
Fear 45%
Happy 45%
Calm 53%
Confused 45%
Surprised 45%

AWS Rekognition

Age 28-44
Gender Male, 99.3%
Happy 0.7%
Angry 7.2%
Surprised 5.4%
Calm 15.2%
Confused 53.6%
Fear 12.8%
Disgusted 0.4%
Sad 4.7%

AWS Rekognition

Age 42-60
Gender Male, 96.3%
Calm 10.6%
Sad 20.2%
Angry 67.7%
Disgusted 0.1%
Fear 0.4%
Happy 0.1%
Confused 0.7%
Surprised 0.2%

AWS Rekognition

Age 51-69
Gender Male, 98.3%
Confused 4.3%
Surprised 1.4%
Fear 1.3%
Angry 1.3%
Happy 0.6%
Sad 86.6%
Disgusted 1.7%
Calm 2.7%

AWS Rekognition

Age 32-48
Gender Female, 92.9%
Confused 2.6%
Fear 7.4%
Angry 45.8%
Happy 0.1%
Calm 13.9%
Surprised 0.9%
Sad 28.1%
Disgusted 1.1%

AWS Rekognition

Age 23-35
Gender Male, 99.6%
Surprised 0.2%
Angry 9.5%
Disgusted 0.4%
Calm 61.8%
Happy 0.2%
Fear 0.2%
Confused 4.1%
Sad 23.6%

AWS Rekognition

Age 19-31
Gender Female, 54.8%
Fear 45%
Surprised 45%
Disgusted 45%
Calm 54.2%
Sad 45.7%
Angry 45%
Happy 45%
Confused 45%

AWS Rekognition

Age 28-44
Gender Male, 54.9%
Happy 45%
Disgusted 45.1%
Calm 54.5%
Angry 45.1%
Fear 45%
Surprised 45.1%
Sad 45.1%
Confused 45.1%

AWS Rekognition

Age 36-52
Gender Male, 99.9%
Calm 98.3%
Angry 0%
Happy 0.1%
Disgusted 0%
Fear 0%
Sad 1.5%
Confused 0%
Surprised 0%

AWS Rekognition

Age 18-30
Gender Male, 54.8%
Happy 45%
Calm 53.6%
Disgusted 45%
Surprised 45%
Confused 45%
Angry 46.2%
Fear 45%
Sad 45.1%

AWS Rekognition

Age 21-33
Gender Male, 54.1%
Angry 45.1%
Surprised 45.1%
Confused 45%
Disgusted 45%
Happy 45.1%
Calm 54.3%
Fear 45%
Sad 45.4%

AWS Rekognition

Age 50-68
Gender Male, 97%
Sad 48.4%
Surprised 0.2%
Happy 0.4%
Fear 0.1%
Angry 1.5%
Confused 0.7%
Disgusted 0.1%
Calm 48.6%

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 49
Gender Female

Microsoft Cognitive Services

Age 39
Gender Male

Microsoft Cognitive Services

Age 49
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 48
Gender Female

Microsoft Cognitive Services

Age 58
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 49
Gender Male

Microsoft Cognitive Services

Age 61
Gender Male

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 29
Gender Female

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 33
Gender Female

Microsoft Cognitive Services

Age 47
Gender Female

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 39
Gender Female

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 20
Gender Male

Microsoft Cognitive Services

Age 54
Gender Female

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 98.7%

Text analysis

Google

PLAZA BUGUESO, CARLOS.- Foto N.o SAAVEDRA SILVA ADOLFO: Foto No 2123,50, (a) "El Pelao Carlota". LANZA. FIlia. PERA REYES, MANUEL FRANCISCO- (a) "El Paplehe", LANZA. Filación: relón: 29 años, 1.74 estatura, cutis moreno Poto No 5179, (a) "El Negro Franoo". SAL- años, 1.60 estatura, eutis moreno medio, ca.medio, eabello eastaio obscuro, ojos cas bello castaño obscuro, ojos castaño medio.laño medio. Opera en Santlago y Valpa Compañero de Luis Cornejo (a) "El Rucio" taiso,. y Raúl Vilches Pino, (a) "E Gustón". TEADOR. FIllaclón: 24 años, 1.04 eatatura, cutls moreno medio, cabello castafio obs. curo, ojos eastaño medio. Compañero del conocldo delineuente Abraham Toro Diar, (a) "El Torito", Opera en San Vicente de EITA GONZALEZ SALVO ia La Neral RAQUEL MENDOZA PUGA (a) "La Regalona", Tendera. 6. Maria 1. Toblas SINFOROSA LUPFIT LUFF (a) "La Sinforosa", Tendera. 12 SAN JUAN SAN JUAN, MARIA GLORIA: Fote Na 5673, (a) "La bailarina", CUEN TERA", Filiación: 29 akon, 1.69 estatura, cu- tis moreno claro, cabelle castaio clare, ojos café claro. Compadera de delite de Maria R. Acevedo Cérdova, (a) "La Vieja Cuca" es perializindose en esta clase de deliton. Bild $1 Schmuckbemalung. welche heitere Stimmung anzeigt 24. Pedre Grande GO 1034 21 -)
PLAZA
BUGUESO,
CARLOS.-
Foto
N.o
SAAVEDRA
SILVA
ADOLFO:
No
2123,50,
(a)
"El
Pelao
Carlota".
LANZA.
FIlia.
PERA
REYES,
MANUEL
FRANCISCO-
Paplehe",
Filación:
relón:
29
años,
1.74
estatura,
cutis
moreno
Poto
5179,
Negro
Franoo".
SAL-
1.60
eutis
medio,
ca.medio,
eabello
eastaio
obscuro,
ojos
cas
bello
castaño
medio.laño
medio.
Opera
en
Santlago
y
Valpa
Compañero
de
Luis
Cornejo
Rucio"
taiso,.
Raúl
Vilches
Pino,
"E
Gustón".
TEADOR.
FIllaclón:
24
1.04
eatatura,
cutls
cabello
castafio
obs.
curo,
eastaño
del
conocldo
delineuente
Abraham
Toro
Diar,
Torito",
San
Vicente
EITA
GONZALEZ
SALVO
ia
La
Neral
RAQUEL
MENDOZA
PUGA
"La
Regalona",
Tendera.
6.
Maria
1.
Toblas
SINFOROSA
LUPFIT
LUFF
Sinforosa",
12
SAN
JUAN
JUAN,
MARIA
GLORIA:
Fote
Na
5673,
bailarina",
CUEN
TERA",
Filiación:
akon,
1.69
cu-
tis
claro,
cabelle
castaio
clare,
café
claro.
Compadera
delite
R.
Acevedo
Cérdova,
Vieja
Cuca"
es
perializindose
esta
clase
deliton.
Bild
$1
Schmuckbemalung.
welche
heitere
Stimmung
anzeigt
24.
Pedre
Grande
GO
1034
21
-)