Human Generated Data

Title

Portrait of a Teacher and her Students
Date

1950, printed 2005
People

Artist: Baldomero Alejos, Peruvian 1902-1976
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the David Rockefeller Center for Latin American Studies, Harvard University, Estrellita Bograd Brodsky Fund for Latin American Art and Culture and Gustavo E. Brillembourg Memorial Fund, 2012.126

Human Generated Data

Title

Portrait of a Teacher and her Students

People

Artist: Baldomero Alejos, Peruvian 1902-1976

Date

1950, printed 2005

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the David Rockefeller Center for Latin American Studies, Harvard University, Estrellita Bograd Brodsky Fund for Latin American Art and Culture and Gustavo E. Brillembourg Memorial Fund, 2012.126

Machine Generated Data

Tags

Amazon
created on 2019-05-28

Human 98.8
Person 98.8
Face 98.5
Smile 98.3
Person 97.8
Person 97.4
Person 96.3
Person 96.1
Clothing 96.1
Apparel 96.1
Person 94.3
Person 93.6
Person 92.4
People 91.7
Person 91.2
Person 90.7
Person 88.7
Person 85.8
Person 75.5
Person 75
Kid 74.5
Child 74.5
Female 72.3
Portrait 67.6
Photography 67.6
Photo 67.6
Laughing 66.4
Person 65.2
Girl 60.7
Person 60.4
Brick 59.4
Family 57.8
Urban 56.9
Door 56.6
Vacation 56.1
Coat 56
Suit 56
Overcoat 56
Person 42.2

Clarifai
created on 2019-05-28

people 99.9
child 99.8
group 98
boy 95.3
many 94.4
son 93.7
woman 93.5
adult 93
man 92.9
sit 89.6
wear 89.3
group together 88.4
portrait 88.1
education 83
war 82.9
retro 82.4
street 80.9
family 80.2
crowd 78.9
monochrome 76.8

Imagga
created on 2019-05-28

old 42.5
wall 40.2
graffito 36.1
grunge 33.2
aged 31.7
decoration 30.5
ancient 27.7
texture 27.1
vintage 25.6
antique 24.2
building 24.1
architecture 21.9
retro 21.3
dirty 20.8
grungy 19
room 18.2
pattern 17.8
paint 17.2
textured 16.6
classroom 16.5
rough 15.5
wall clock 15.1
brick 14.3
weathered 14.2
stone 13.6
kin 13.5
material 13.4
concrete 13.4
damaged 13.3
structure 13.3
person 12.8
border 12.7
house 12.5
child 11.9
clock 11.8
frame 11.6
decay 11.6
stained 11.5
surface 11.5
window 11.3
detail 11.3
tourist 11.1
exterior 11.1
historic 11
city 10.8
design 10.7
people 10.6
worn 10.5
dirt 10.5
door 10.5
black 10.3
cement 9.7
urban 9.6
text 9.6
aging 9.6
rusty 9.5
construction 9.4
decorative 9.2
timepiece 9.2
art 9.2
brown 8.8
abandoned 8.8
rust 8.7
man 8.3
traveler 8.2
stucco 8.1
gray 8.1
history 8
paper 7.8
canvas 7.6
dark 7.5
close 7.4
style 7.4
color 7.2
portrait 7.1

Google
created on 2019-05-28

Photograph 96.7
People 93.9
Snapshot 84.1
Stock photography 69.2
State school 64.9
Photography 62.4
Black-and-white 56.4
History 54.1
Family 52.5
Child 52

Microsoft
created on 2019-05-28

posing 99.7
clothing 96.2
human face 94.6
person 92
smile 87.2
school 78.9
group 78.5
old 70.5
boy 67.3
woman 61.8
crowd 0.9

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 26-43
Gender Male, 51.6%
Sad 52.5%
Disgusted 45.2%
Confused 45.4%
Angry 45.8%
Happy 45.2%
Calm 45.6%
Surprised 45.3%

AWS Rekognition

Age 4-9
Gender Female, 55%
Disgusted 45.4%
Calm 49.9%
Confused 45.2%
Surprised 45.2%
Angry 45.9%
Sad 47.9%
Happy 45.5%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Happy 46.1%
Disgusted 48.8%
Confused 45.4%
Calm 45.2%
Angry 46.2%
Sad 47.9%
Surprised 45.5%

AWS Rekognition

Age 23-38
Gender Female, 53.8%
Surprised 45.2%
Calm 45.5%
Happy 45.2%
Confused 45.1%
Sad 49.2%
Disgusted 45.9%
Angry 48.9%

AWS Rekognition

Age 11-18
Gender Female, 55%
Confused 45%
Surprised 45%
Disgusted 45%
Sad 54.4%
Happy 45.5%
Calm 45%
Angry 45%

AWS Rekognition

Age 19-36
Gender Female, 54.9%
Surprised 45.1%
Angry 45.3%
Disgusted 45.1%
Happy 45.4%
Confused 45.2%
Calm 45.6%
Sad 53.4%

AWS Rekognition

Age 35-52
Gender Female, 53.7%
Surprised 45.3%
Sad 49.8%
Happy 45.5%
Confused 45.3%
Angry 46.6%
Disgusted 45.9%
Calm 46.6%

AWS Rekognition

Age 10-15
Gender Female, 52.3%
Surprised 45%
Disgusted 45%
Happy 45%
Sad 45.8%
Calm 45%
Angry 54.1%
Confused 45%

AWS Rekognition

Age 11-18
Gender Female, 54.9%
Confused 45.2%
Sad 46.5%
Disgusted 48.6%
Calm 47.9%
Surprised 45.3%
Happy 45.5%
Angry 46.1%

AWS Rekognition

Age 10-15
Gender Female, 54.9%
Happy 45%
Angry 46.3%
Confused 45.6%
Surprised 45.1%
Calm 46.4%
Sad 51.5%
Disgusted 45.1%

AWS Rekognition

Age 10-15
Gender Female, 53.1%
Surprised 45.1%
Angry 48.7%
Calm 47.1%
Happy 45%
Sad 48.7%
Disgusted 45.1%
Confused 45.2%

AWS Rekognition

Age 9-14
Gender Female, 54.8%
Angry 45.5%
Disgusted 45.1%
Confused 45.1%
Sad 53.4%
Calm 45.8%
Surprised 45%
Happy 45%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Angry 45.3%
Disgusted 45.3%
Surprised 45.3%
Happy 46.7%
Calm 45.6%
Confused 45.2%
Sad 51.5%

AWS Rekognition

Age 35-52
Gender Female, 54.9%
Angry 45.9%
Confused 45.4%
Disgusted 45.7%
Surprised 45.7%
Happy 46.3%
Calm 46.3%
Sad 49.7%

AWS Rekognition

Age 19-36
Gender Female, 54.6%
Disgusted 45.5%
Surprised 45.2%
Angry 45.3%
Happy 47.6%
Calm 45.3%
Sad 51.1%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 45.1%
Sad 45.4%
Surprised 45.2%
Confused 45.1%
Happy 51.8%
Calm 47.3%
Disgusted 45.2%

AWS Rekognition

Age 19-36
Gender Female, 50%
Angry 45.7%
Confused 45.1%
Disgusted 45%
Surprised 45%
Happy 45%
Calm 45.2%
Sad 53.9%

AWS Rekognition

Age 10-15
Gender Female, 52.3%
Surprised 45.8%
Angry 45.9%
Disgusted 45.3%
Happy 45.4%
Confused 45.5%
Calm 47.2%
Sad 49.8%

AWS Rekognition

Age 10-15
Gender Female, 55%
Disgusted 45.3%
Happy 45.1%
Calm 45.1%
Surprised 45%
Confused 45.1%
Angry 45.2%
Sad 54.3%

AWS Rekognition

Age 35-52
Gender Female, 53.7%
Happy 45.2%
Confused 45.2%
Disgusted 45.2%
Surprised 45.1%
Sad 45.6%
Angry 46.2%
Calm 52.4%

AWS Rekognition

Age 26-44
Gender Female, 55%
Disgusted 46.5%
Angry 48%
Calm 45.7%
Confused 45.2%
Sad 48.9%
Surprised 45.2%
Happy 45.5%

AWS Rekognition

Age 11-18
Gender Female, 54.5%
Surprised 45%
Angry 45.1%
Disgusted 45.1%
Happy 45.1%
Confused 45%
Calm 45%
Sad 54.6%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Angry 45.2%
Disgusted 45.1%
Happy 45.1%
Sad 54.3%
Calm 45.2%
Surprised 45%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Female, 54.8%
Angry 45%
Calm 45%
Confused 45%
Disgusted 45%
Happy 45%
Sad 54.9%
Surprised 45%

AWS Rekognition

Age 35-52
Gender Female, 53.4%
Angry 45.5%
Calm 45.5%
Sad 53.3%
Disgusted 45.2%
Surprised 45.1%
Happy 45.2%
Confused 45.2%

AWS Rekognition

Age 23-38
Gender Female, 54.7%
Sad 48.3%
Disgusted 45.3%
Confused 45.8%
Angry 46.7%
Happy 45.5%
Calm 48%
Surprised 45.3%

AWS Rekognition

Age 26-44
Gender Female, 54.6%
Angry 47.3%
Disgusted 45.5%
Surprised 45.2%
Confused 45.1%
Happy 45.3%
Sad 48.2%
Calm 48.4%

AWS Rekognition

Age 38-59
Gender Female, 51.6%
Confused 45%
Surprised 45%
Angry 45%
Sad 54.9%
Happy 45%
Calm 45%
Disgusted 45%

AWS Rekognition

Age 4-9
Gender Male, 53.2%
Angry 49.9%
Calm 45.4%
Surprised 45.1%
Sad 49.3%
Confused 45.1%
Happy 45.1%
Disgusted 45.1%

AWS Rekognition

Age 10-15
Gender Female, 54.9%
Disgusted 45%
Happy 45.1%
Confused 45%
Sad 54.8%
Calm 45%
Angry 45%
Surprised 45%

AWS Rekognition

Age 9-14
Gender Female, 51.8%
Disgusted 45.1%
Surprised 45.3%
Angry 48.1%
Sad 46.7%
Happy 45.2%
Confused 45.7%
Calm 49%

AWS Rekognition

Age 27-44
Gender Female, 53.8%
Sad 54.9%
Happy 45%
Angry 45.1%
Confused 45%
Surprised 45%
Disgusted 45%
Calm 45%

AWS Rekognition

Age 6-13
Gender Female, 54.8%
Confused 45.1%
Disgusted 45.4%
Angry 45.4%
Happy 45.2%
Calm 45.2%
Sad 53.6%
Surprised 45.1%

AWS Rekognition

Age 10-15
Gender Female, 52.7%
Surprised 45%
Sad 51.9%
Happy 45%
Confused 45.2%
Angry 45.7%
Disgusted 45.1%
Calm 47.1%

AWS Rekognition

Age 26-43
Gender Female, 50.6%
Surprised 45.5%
Angry 45.4%
Disgusted 45.6%
Happy 48.9%
Confused 45.3%
Calm 48.4%
Sad 45.8%

AWS Rekognition

Age 6-13
Gender Female, 54.7%
Sad 50.7%
Surprised 45.1%
Confused 45.1%
Calm 48.6%
Happy 45.1%
Angry 45.3%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Female, 51.1%
Angry 45.1%
Calm 45%
Confused 45%
Disgusted 45%
Happy 45%
Sad 54.8%
Surprised 45%

AWS Rekognition

Age 20-38
Gender Female, 54.8%
Disgusted 45%
Surprised 45%
Sad 55%
Happy 45%
Calm 45%
Confused 45%
Angry 45%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Sad 54.8%
Calm 45%
Surprised 45%
Confused 45%
Happy 45%
Angry 45.1%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Male, 50.7%
Disgusted 45%
Angry 45%
Calm 45%
Confused 45%
Sad 55%
Surprised 45%
Happy 45%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Calm 49.7%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.8%
Angry 49.9%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Calm 49.9%
Disgusted 49.5%
Surprised 49.5%
Confused 49.6%
Happy 49.6%
Sad 49.8%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 54.7%
Surprised 45%
Happy 45%
Calm 45%
Confused 45%
Angry 45%
Disgusted 45%
Sad 54.9%

AWS Rekognition

Age 29-45
Gender Female, 53.8%
Confused 45%
Happy 45%
Surprised 45%
Calm 45.1%
Sad 54.7%
Angry 45%
Disgusted 45.1%

AWS Rekognition

Age 30-47
Gender Female, 54.9%
Surprised 45%
Disgusted 45%
Happy 45%
Sad 54.9%
Calm 45%
Angry 45%
Confused 45%

AWS Rekognition

Age 38-57
Gender Female, 53.9%
Happy 45.1%
Disgusted 45.1%
Confused 45%
Calm 45%
Angry 45%
Sad 54.7%
Surprised 45%

AWS Rekognition

Age 9-14
Gender Female, 50.3%
Confused 49.5%
Surprised 49.5%
Disgusted 49.6%
Sad 50%
Happy 49.5%
Calm 49.5%
Angry 49.8%

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 Very unlikely
Blurred Very unlikely

Google Vision

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

Feature analysis

Amazon

Person 98.8%

Text analysis

Amazon

10ond
Doroo.o