Human Generated Data

Title

Untitled (men and women at banquet with three large portraits hanging)
Date

c. 1934, printed later
People

Artist: Durette Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.5841

Human Generated Data

Title

Untitled (men and women at banquet with three large portraits hanging)

People

Artist: Durette Studio, American 20th century

Date

c. 1934, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.5841

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Person 98.5
Human 98.5
Audience 98
Crowd 98
Room 97.3
Indoors 97.3
Person 95.1
School 90.6
Classroom 90.6
Person 89.8
Person 89.3
Person 84.3
Speech 83.1
Lecture 82.8
Person 81.7
Person 78.6
Hall 77.2
Person 76.7
Person 72.1
Person 71.3
Person 69.3
Person 69
Person 68.9
Person 68.3
Person 68.2
Furniture 66.6
Workshop 66.5
People 60.2
Seminar 59.7
Cafeteria 59.3
Restaurant 59.3
Auditorium 59
Theater 59
Person 42
Person 42

Clarifai
created on 2019-11-16

people 99.7
group 99.2
many 99.1
group together 98.3
seat 96.3
military 96
furniture 95.4
room 94.7
chair 94.1
adult 91.5
no person 90.4
home 89.9
war 89.3
crowd 87
man 86.7
indoors 86.5
administration 79.9
school 76.4
vehicle 76.2
several 76

Imagga
created on 2019-11-16

hole 27.6
grunge 27.2
old 26.5
texture 20.8
pattern 19.1
art 19
aged 18.1
synthesizer 17.7
black 16.4
negative 16.3
vintage 15.7
wall 15.6
paint 15.4
film 15
device 15
city 14.9
retro 14.7
electronic instrument 14.4
grungy 14.2
antique 13.8
musical instrument 13.7
architecture 13.5
jigsaw puzzle 13.5
building 12.8
keyboard instrument 12.8
equipment 12.8
dirty 12.6
sequencer 12.3
text 12.2
puzzle 11.9
design 11.8
space 11.6
silhouette 11.6
ancient 11.2
rough 10.9
border 10.8
dark 10.8
material 10.7
light 10.7
apparatus 10.1
frame 10
backdrop 9.9
structure 9.7
surface 9.7
detail 9.6
textured 9.6
tie 9.6
rusty 9.5
weathered 9.5
digital 8.9
metal 8.8
decoration 8.7
urban 8.7
decay 8.7
rust 8.7
travel 8.4
wallpaper 8.4
game 8.4
industrial 8.2
backgrounds 8.1
brace 8
room 8
night 8
construction 7.7
damaged 7.6
stone 7.6
cell 7.5
technology 7.4
brown 7.4
percussion instrument 7.4
color 7.2
paper 7.1
modern 7

Google
created on 2019-11-16

White 96.5
Black 96.5
Photograph 96.2
Black-and-white 93.7
Room 90.3
Snapshot 85.1
Monochrome 82.6
Monochrome photography 82
Table 81.5
Photography 78.4
Stock photography 76.2
Picture frame 74.9
Chair 71.7
Furniture 71.4
Illustration 60.2
Art 58.1
Style 55
Still life photography 53.9

Microsoft
created on 2019-11-16

text 99.2
black and white 93.8
table 78.7
old 70.3
furniture 70.1
white 69.1
person 52.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 32-48
Gender Female, 50.3%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Fear 49.5%
Surprised 49.5%
Sad 50.4%
Confused 49.5%

AWS Rekognition

Age 17-29
Gender Male, 50.3%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 50.4%
Sad 49.6%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.5%
Fear 49.5%
Surprised 49.5%
Confused 49.5%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.8%
Angry 50%

AWS Rekognition

Age 23-37
Gender Male, 50.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Fear 49.5%
Sad 49.5%
Calm 50.4%
Surprised 49.5%

AWS Rekognition

Age 30-46
Gender Male, 50.1%
Disgusted 50.1%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Calm 49.5%
Fear 49.5%
Sad 49.8%
Surprised 49.5%

AWS Rekognition

Age 50-68
Gender Male, 50.5%
Calm 49.7%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Surprised 49.5%
Sad 49.8%
Confused 49.5%
Angry 50%

AWS Rekognition

Age 21-33
Gender Male, 50.5%
Fear 49.5%
Sad 49.7%
Happy 49.5%
Disgusted 49.7%
Calm 49.8%
Confused 49.7%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 24-38
Gender Male, 50.5%
Surprised 49.5%
Fear 49.5%
Angry 49.6%
Disgusted 49.6%
Sad 49.7%
Calm 50%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50%
Surprised 49.5%
Sad 49.6%
Disgusted 49.6%
Calm 49.5%
Fear 50.2%
Angry 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50%
Fear 50.1%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.9%
Angry 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.4%
Fear 49.6%
Angry 49.5%
Sad 50%
Happy 49.5%
Calm 50%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.5%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Fear 49.5%
Happy 49.5%
Angry 49.5%
Sad 50.4%
Disgusted 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.4%
Fear 49.5%
Confused 49.6%
Disgusted 49.5%
Angry 49.9%
Sad 49.7%
Calm 49.8%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 42-60
Gender Male, 50.5%
Fear 50.3%
Surprised 49.6%
Angry 49.5%
Sad 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 9-19
Gender Female, 50.1%
Fear 49.7%
Confused 49.5%
Happy 49.5%
Calm 49.8%
Surprised 49.5%
Sad 50%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.5%
Calm 50.2%
Fear 49.5%
Disgusted 49.6%
Surprised 49.6%
Happy 49.5%
Angry 49.6%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 27-43
Gender Female, 50.2%
Fear 49.5%
Calm 49.7%
Sad 49.5%
Surprised 49.6%
Disgusted 49.6%
Angry 49.9%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 16-28
Gender Male, 50.5%
Sad 49.6%
Surprised 49.5%
Angry 49.6%
Calm 50.2%
Happy 49.5%
Fear 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 24-38
Gender Male, 50.4%
Calm 49.5%
Sad 49.6%
Happy 49.5%
Angry 49.9%
Fear 49.9%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 13-25
Gender Female, 50.5%
Fear 49.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Happy 50%
Confused 49.5%
Sad 49.8%
Disgusted 49.6%

AWS Rekognition

Age 47-65
Gender Male, 50.5%
Angry 49.5%
Calm 49.5%
Fear 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 50.4%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 32-48
Gender Male, 50.5%
Angry 49.7%
Disgusted 49.6%
Happy 49.6%
Calm 49.6%
Surprised 49.5%
Fear 49.8%
Confused 49.6%
Sad 49.6%

AWS Rekognition

Age 37-55
Gender Female, 50.3%
Surprised 49.5%
Disgusted 49.5%
Sad 50.2%
Angry 49.5%
Calm 49.7%
Happy 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 38-56
Gender Male, 50.4%
Confused 49.5%
Sad 50%
Happy 49.5%
Angry 49.6%
Fear 49.6%
Disgusted 49.5%
Calm 49.8%
Surprised 49.5%

AWS Rekognition

Age 26-42
Gender Female, 50.4%
Angry 49.6%
Happy 49.5%
Disgusted 50%
Fear 49.7%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Sad 49.6%

AWS Rekognition

Age 23-35
Gender Male, 50.3%
Happy 50%
Fear 49.5%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Calm 49.8%

AWS Rekognition

Age 13-23
Gender Male, 50.3%
Disgusted 49.5%
Sad 50%
Calm 49.5%
Fear 49.8%
Happy 49.5%
Confused 49.6%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.4%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Fear 50.5%
Calm 49.5%
Happy 49.5%
Sad 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.4%
Angry 49.7%
Disgusted 49.5%
Surprised 49.6%
Sad 49.5%
Confused 49.5%
Calm 50%
Fear 49.5%
Happy 49.6%

AWS Rekognition

Age 25-39
Gender Male, 50.4%
Happy 49.5%
Fear 49.5%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Angry 50.4%

AWS Rekognition

Age 18-30
Gender Male, 50.4%
Angry 49.7%
Happy 49.5%
Disgusted 49.5%
Sad 49.8%
Calm 49.8%
Surprised 49.5%
Confused 49.5%
Fear 49.5%

AWS Rekognition

Age 39-57
Gender Male, 50.5%
Fear 49.5%
Angry 49.7%
Calm 50.1%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Disgusted 49.6%

AWS Rekognition

Age 27-43
Gender Male, 50.5%
Sad 50.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Fear 49.5%

AWS Rekognition

Age 51-69
Gender Male, 50.4%
Calm 50.1%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Happy 49.6%
Fear 49.5%
Sad 49.8%
Disgusted 49.5%

AWS Rekognition

Age 23-35
Gender Female, 50%
Surprised 49.5%
Fear 49.6%
Disgusted 49.5%
Calm 49.7%
Angry 49.8%
Confused 49.6%
Happy 49.5%
Sad 49.7%

AWS Rekognition

Age 23-37
Gender Male, 50.4%
Sad 50.4%
Happy 49.5%
Fear 49.5%
Calm 49.6%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 36-54
Gender Male, 50.4%
Happy 49.5%
Fear 49.5%
Angry 49.5%
Confused 49.6%
Surprised 49.5%
Disgusted 49.5%
Calm 50.2%
Sad 49.6%

AWS Rekognition

Age 25-39
Gender Male, 50.1%
Angry 49.9%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 49.7%
Happy 49.5%
Calm 49.8%
Fear 49.5%

AWS Rekognition

Age 24-38
Gender Male, 50.3%
Sad 50.1%
Calm 49.5%
Angry 49.6%
Fear 49.6%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Angry 49.7%
Confused 49.5%
Calm 49.9%
Fear 49.6%
Sad 49.6%
Surprised 49.5%

Feature analysis

Amazon

Person 98.5%

Categories

Imagga

cars vehicles 59.8%
interior objects 17.8%
events parties 12.4%
food drinks 7.9%
nature landscape 1.1%

Captions

Microsoft
created on 2019-11-16

a vintage photo of an old building 60.2%
a vintage photo of a building 60.1%
a group of people in a room 60%