Human Generated Data

Title

Defectives, Epileptics: United States. Massachusetts. Palmer. State Hospital for Epileptics: First year bandaging.
Date

c. 1907
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, 3.2002.477

Human Generated Data

Title

Defectives, Epileptics: United States. Massachusetts. Palmer. State Hospital for Epileptics: First year bandaging.

People

Artist: Woodhead Studio, American active 1900s

Date

c. 1907

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.477

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 98.4
Person 98.4
Person 97.8
Person 95.2
Person 94.2
Shop 91.2
Person 88.6
Window Display 88.2
Person 85.1
Art 83.5
Painting 83.5
Person 82.9
Apparel 79.7
Clothing 79.7
Person 79.5
Person 75.8
Person 71.5
Person 66.8
People 63.9
Stage 62.3
Text 61.8
Coat 58.3
Mannequin 56.4
Person 48.4

Clarifai
created on 2019-06-05

people 99.4
group 97.1
exhibition 96.9
wear 94.9
many 94.6
adult 94.5
woman 92.3
museum 92.1
man 90.1
commerce 90
art 89.4
performance 88.7
music 87.4
collection 85
religion 83.7
group together 83.6
outfit 83.5
stock 83.3
ceremony 83.3
sculpture 81.4

Imagga
created on 2019-06-05

sculpture 26.7
art 23.5
old 21.6
architecture 21.1
statue 19.4
building 19.3
ancient 19
case 18.9
history 17
monument 16.8
religion 16.1
famous 15.8
historic 15.6
antique 14.7
vintage 14
landmark 13.5
god 13.4
city 13.3
window 13.3
marble 12.5
tourism 12.4
historical 12.2
detail 11.3
religious 11.2
culture 11.1
church 11.1
interior 10.6
travel 10.6
structure 10.4
decoration 10.4
shop 10.1
design 10.1
catholic 9.7
black 9.6
symbol 9.4
room 9.3
dress 9
facade 8.9
night 8.9
light 8.7
museum 8.7
holiday 8.6
luxury 8.6
stone 8.4
column 8.4
urban 7.9
baroque 7.8
people 7.8
man 7.8
memorial 7.5
decorative 7.5
wood 7.5
destination 7.5
traditional 7.5
classic 7.4
style 7.4
retro 7.4
exterior 7.4
boutique 7.3
ornate 7.3
tourist 7.2

Google
created on 2019-06-05

Photograph 96.2
Picture frame 88.5
Room 65.7
Photography 62.4
Interior design 53.6

Microsoft
created on 2019-06-05

person 95.3
clothing 94.7
indoor 89.4
woman 86.9
dress 83.3
wedding dress 64.9
old 61.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.6%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Sad 50.3%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 49.5%
Surprised 49.5%
Sad 49.6%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Calm 50.2%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.5%
Sad 49.8%
Disgusted 49.5%
Calm 50%
Surprised 49.5%
Confused 49.5%
Angry 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Sad 49.6%
Disgusted 49.6%
Angry 49.8%
Happy 49.5%
Calm 49.9%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 38-57
Gender Male, 50.1%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50%
Angry 49.9%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Calm 50.2%
Surprised 49.5%
Confused 49.5%
Sad 49.6%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.7%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 9-14
Gender Female, 50.2%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 50.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.3%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.1%
Angry 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.5%
Calm 49.6%
Disgusted 49.6%
Sad 50.1%
Happy 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 11-18
Gender Male, 50.2%
Angry 49.6%
Surprised 49.5%
Disgusted 50%
Calm 49.6%
Sad 49.7%
Happy 49.5%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Sad 50%
Disgusted 49.6%
Happy 49.7%
Confused 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50.3%
Disgusted 49.6%
Confused 49.5%
Happy 49.5%
Sad 50.2%
Surprised 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 51.7%
Confused 46.7%
Happy 47.7%
Sad 45.9%
Disgusted 45.8%
Angry 46.6%
Calm 46.2%
Surprised 46.1%

Feature analysis

Amazon

Person 98.4%
Painting 83.5%

Categories

Imagga

interior objects 54.4%
events parties 37.5%
food drinks 4.7%
streetview architecture 1.3%
text visuals 1.2%

Captions

Microsoft
created on 2019-06-05

an old photo of a person 43.4%
old photo of a person 40.5%
an old television 34.5%

Text analysis

Amazon

year
Fiis year Fauagiig.
Fiis
Fauagiig.

Google

int
taugg
int year taugg
year