Human Generated Data

Title

Defectives, Epileptics: United States. Massachusetts. Palmer. State Hospital for Epileptics: Christmas 1905.
Date

1905
People

Artist: Woodhead Studio, American active 1900s
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3431

Human Generated Data

Title

Defectives, Epileptics: United States. Massachusetts. Palmer. State Hospital for Epileptics: Christmas 1905.

People

Artist: Woodhead Studio, American active 1900s

Date

1905

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3431

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 91.7
Person 91.7
Person 86.7
Furniture 85.4
Indoors 84.3
Art 83
Room 81.7
Lighting 80
Pattern 77.9
Graphics 77.9
Floral Design 77.9
Plant 77.1
Reception 73.6
Tree 73
Waiting Room 72.9
Reception Room 72.9
Person 71.5
Person 70
Person 69.8
Housing 66.5
Building 66.5
Person 65.8
Person 64.5
Person 63.9
Living Room 63
Chair 61.8
Person 61.4
Person 60.8
Table 57.1
People 57
Person 53.3
Person 53
Person 51.5
Person 48.4

Clarifai
created on 2019-06-05

furniture 97.8
room 97.1
house 96.6
no person 96.4
wood 96.3
inside 96
empty 95.1
people 95.1
home 94.8
family 94.5
wall 92.7
indoors 91.2
chair 90
print 90
building 89.3
illustration 88.7
architecture 88.3
decoration 87.7
luxury 87.4
art 87.2

Imagga
created on 2019-06-05

structure 27.9
architecture 23.2
building 22.6
old 22.3
grunge 22.1
frame 22
antique 18.5
fence 18.5
vintage 18.2
design 16.3
wall 16.3
texture 16
picket fence 15.5
house 15
retro 14.7
snow 14.6
empty 14.6
art 14.6
border 14.5
ancient 13.8
construction 13.7
dirty 13.5
paper 13.3
aged 12.7
city 12.5
pattern 12.3
drawing 12.1
sky 12.1
cold 12
winter 11.9
chandelier 11.7
screen 11.7
space 11.6
material 11.6
graphic 10.9
black 10.8
history 10.7
urban 10.5
grungy 10.4
barrier 10.4
style 10.4
home 10.4
protective covering 10.2
exterior 10.1
rough 10
damaged 9.5
historic 9.2
interior 8.8
text 8.7
rust 8.7
blank 8.6
crown 8.5
window 8.1
landmark 8.1
backgrounds 8.1
tower 8.1
textured 7.9
tree 7.8
frames 7.8
scratch 7.8
your 7.7
modern 7.7
architectural 7.7
dirt 7.6
plan 7.6
wood 7.5
element 7.4
landscape 7.4
sketch 7.3
paint 7.2
trees 7.1
container 7.1
lighting fixture 7

Google
created on 2019-06-05

Photograph 96.7
Photographic paper 90.9
Snapshot 85.4
Room 71.4
Picture frame 68.1
Photography 67.8
Photograph album 60.7
History 54.1

Microsoft
created on 2019-06-05

picture frame 11.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Sad 50.1%
Disgusted 49.6%
Confused 49.5%
Angry 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Calm 49.5%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 50.4%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.5%
Sad 50.3%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Calm 49.7%
Sad 50%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%
Angry 49.5%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Calm 49.6%
Angry 49.6%
Surprised 49.5%
Confused 49.6%
Sad 50.1%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.6%
Disgusted 49.6%
Sad 50.2%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50%
Confused 49.7%
Surprised 49.6%
Angry 49.6%
Calm 49.7%
Sad 49.8%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.4%
Angry 49.7%
Sad 50.1%
Surprised 49.5%
Confused 49.6%
Disgusted 49.5%
Calm 49.6%
Happy 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.6%
Sad 49.9%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.1%
Surprised 49.5%
Confused 49.5%
Sad 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Calm 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50%
Angry 49.6%
Calm 49.6%
Surprised 49.5%
Disgusted 49.5%
Happy 49.7%
Sad 50%
Confused 49.6%

AWS Rekognition

Age 38-59
Gender Female, 50%
Confused 49.5%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Sad 50.1%
Calm 49.6%
Happy 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Angry 49.9%
Calm 49.5%
Disgusted 49.6%
Happy 49.5%
Confused 49.6%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.5%
Sad 49.8%
Happy 49.5%
Confused 49.7%
Calm 49.7%
Angry 49.7%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.6%
Disgusted 49.5%
Sad 49.6%
Angry 49.9%
Happy 49.7%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50%
Angry 49.9%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Surprised 49.6%
Happy 49.5%
Calm 49.6%
Sad 50.2%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Surprised 49.5%
Confused 49.6%
Sad 50.1%
Disgusted 49.7%
Happy 49.5%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 50.2%
Disgusted 49.5%
Confused 49.5%
Happy 49.7%
Calm 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50.2%
Calm 49.6%
Confused 49.5%
Disgusted 49.6%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.5%
Disgusted 49.5%
Sad 50.1%
Surprised 49.6%
Calm 49.7%
Angry 49.6%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50%
Disgusted 49.5%
Sad 50.4%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50%
Happy 49.5%
Disgusted 49.6%
Calm 49.6%
Sad 49.9%
Confused 49.6%
Surprised 49.6%
Angry 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Angry 50.2%
Happy 49.6%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Female, 50.4%
Calm 49.5%
Sad 50.1%
Surprised 49.5%
Disgusted 49.7%
Angry 49.5%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Angry 49.9%
Disgusted 49.6%
Surprised 49.5%
Happy 49.7%
Calm 49.6%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 49.6%
Confused 49.7%
Angry 49.6%
Happy 49.6%
Disgusted 49.6%
Sad 49.7%
Calm 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Sad 50.4%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Male, 50%
Happy 49.6%
Angry 49.6%
Calm 49.7%
Confused 49.6%
Disgusted 49.5%
Surprised 49.6%
Sad 50%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Sad 50.2%
Happy 49.6%
Confused 49.5%
Disgusted 49.6%
Calm 49.5%
Angry 49.6%
Surprised 49.5%

Feature analysis

Amazon

Person 91.7%

Categories

Imagga

streetview architecture 48%
interior objects 44.6%
paintings art 5.9%

Captions

Microsoft
created on 2019-06-05

a black sign with white text 44.6%
a black sign with white letters 41.3%
a white sign with black text 40.7%

Text analysis

Amazon

1905TOALL
Chriatma1905.
MEKYI905
Chriatma1905. /gos.
EHRISTSA
/gos.

Google

MENRYI905 1995 TO A L) CんんiotomaR/905.
MENRYI905
1995
TO
A
L)
C
ん
iotomaR
/
905
.