Human Generated Data

Title

Untitled (four photographs: nurses with mock paitents; at church; with trays of food)

Date

c. 1940, printed later

People

Artist: Harry Annas, American 1897 - 1980

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6805

Human Generated Data

Title

Untitled (four photographs: nurses with mock paitents; at church; with trays of food)

People

Artist: Harry Annas, American 1897 - 1980

Date

c. 1940, printed later

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Human 99.1
Person 99.1
Person 98.2
Person 97
Person 96.9
Person 96.4
Furniture 95.9
Poster 94.6
Collage 94.6
Advertisement 94.6
Chair 93
Person 92.5
Person 88.8
Table 87.8
Person 80.2
Person 79.3
Person 77
Person 73.5
Leisure Activities 67.6
Wood 67.5
Building 64.4
Housing 64.4
Indoors 62.4
Piano 62.1
Musical Instrument 62.1
Person 61.9
Face 61.7
Person 59.6
Bed 58.9
Restaurant 58.8
Cafe 58.8
Room 58.6
Bedroom 58.6
Desk 58.5
Studio 57.7
Floor 56.9
Shelf 55.5
Dining Table 55.1
Person 53.7
Person 45.9

Clarifai
created on 2019-11-16

people 99.9
group 99.7
many 99.1
adult 99
man 99
furniture 97.2
group together 96.5
room 96.5
woman 96.1
print 94.2
monochrome 93.9
child 93.4
indoors 93.3
several 93.1
vehicle 91.9
one 91.5
music 90
war 89.9
illustration 89.4
street 89.4

Imagga
created on 2019-11-16

barbershop 39.8
window 37.5
shop 37.1
case 34
balcony 28.6
mercantile establishment 27.9
building 23.9
architecture 21.1
place of business 18.6
house 18.4
glass 17.9
structure 17
light 16.7
city 14.1
urban 14
old 13.9
wall 13.7
home 12.7
interior 12.4
man 12.1
travel 12
television 11.8
windows 11.5
people 11.1
black 10.8
business 10.3
sky 10.2
design 10.1
indoor 10
modern 9.8
door 9.8
working 9.7
high 9.5
roof 9.5
monitor 9.4
office 9.3
establishment 9.3
art 9.1
silhouette 9.1
water 8.7
antique 8.6
ancient 8.6
room 8.6
framework 8.4
town 8.3
street 8.3
inside 8.3
equipment 8.2
chair 7.9
waiting 7.7
vintage 7.4
retro 7.4
decoration 7.4
historic 7.3
broadcasting 7.2
copy space 7.2
male 7.1
indoors 7

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

text 98
indoor 94
black and white 93.2
furniture 82.3
gallery 73.7
person 73
table 69
white 66.6
room 56.1
old 40.1

Face analysis

Amazon

AWS Rekognition

Age 21-33
Gender Male, 54.2%
Disgusted 45.1%
Sad 46.8%
Happy 45.1%
Surprised 45.1%
Calm 51.3%
Fear 45.1%
Confused 45.6%
Angry 45.9%

AWS Rekognition

Age 22-34
Gender Male, 54.4%
Disgusted 45%
Fear 45%
Confused 45.1%
Angry 45.4%
Calm 54.3%
Surprised 45%
Sad 45.2%
Happy 45%

AWS Rekognition

Age 36-54
Gender Male, 50.1%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Fear 49.9%
Sad 50.1%

AWS Rekognition

Age 27-43
Gender Male, 52.9%
Angry 45%
Fear 54%
Confused 45%
Happy 45%
Calm 45%
Disgusted 45%
Surprised 45%
Sad 45.9%

AWS Rekognition

Age 23-35
Gender Male, 50.5%
Angry 49.5%
Fear 49.5%
Confused 49.5%
Calm 49.5%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 27-43
Gender Female, 50.3%
Angry 50.4%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Fear 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 10-20
Gender Male, 50.2%
Sad 50.2%
Happy 49.5%
Fear 49.5%
Calm 49.6%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50.3%
Sad 50.4%
Confused 49.5%
Fear 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Sad 50%
Calm 49.9%
Confused 49.5%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 13-23
Gender Female, 50%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Sad 49.5%
Angry 50.4%
Disgusted 49.5%

AWS Rekognition

Age 31-47
Gender Female, 50.3%
Fear 49.5%
Calm 49.9%
Sad 49.8%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 31-47
Gender Male, 52%
Calm 45.6%
Disgusted 45%
Surprised 45.1%
Sad 45.2%
Fear 45%
Happy 51.2%
Angry 47.9%
Confused 45.1%

AWS Rekognition

Age 11-21
Gender Female, 50.4%
Calm 49.6%
Disgusted 49.5%
Sad 49.8%
Happy 49.5%
Angry 49.5%
Fear 49.8%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 14-26
Gender Female, 50%
Calm 49.6%
Sad 50%
Fear 49.7%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 42-60
Gender Male, 50%
Calm 49.5%
Happy 49.6%
Disgusted 49.5%
Surprised 49.7%
Angry 49.7%
Sad 49.5%
Fear 49.9%
Confused 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.1%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Angry 49.5%
Fear 49.5%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%

Feature analysis

Amazon

Person 99.1%

Captions

Microsoft

a group of people in a room 70.4%
a black and white photo of a person 50.1%
a black and white photo of a living room 48.4%