Human Generated Data

Title

Charity, Public: United States. Massachusetts. Bridgewater. State Farm: Massachusetts. State Farm Bridgewater. Asylum Department.: North Day Room.
Date

c. 1900
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2708.2

Human Generated Data

Title

Charity, Public: United States. Massachusetts. Bridgewater. State Farm: Massachusetts. State Farm Bridgewater. Asylum Department.: North Day Room.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2708.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Room 99.7
Indoors 99.7
Waiting Room 99.6
Person 98.9
Human 98.9
Person 95.8
Person 95.7
Person 93.8
Person 92.6
Person 92.1
Reception Room 88.1
Reception 88.1
Furniture 88.1
Person 87.8
Person 87.3
Floor 85.8
Person 79
Person 75.3
Flooring 72.9
Person 66.5
Person 62
Person 58.5
Person 57.6
Chair 57.4
Living Room 57
Person 55.5

Clarifai
created on 2019-06-05

indoors 98.4
no person 98.2
furniture 97.9
room 97.7
chair 97.5
inside 96.2
home 95.3
table 95
people 93.5
house 93.1
seat 92.2
luxury 91
group 90.9
architecture 88.7
window 87.7
interior design 87.5
many 86.5
reflection 84.7
contemporary 82.4
mansion 81.8

Imagga
created on 2019-06-05

hall 53.1
interior 46.9
building 40.4
room 37.4
anteroom 34.7
architecture 32.7
furniture 30.5
chair 28.5
modern 28.1
floor 27.9
structure 27.8
table 27.3
house 26.9
home 24
restaurant 20.9
decor 20.4
city 20
corridor 19.7
window 18.3
inside 17.5
urban 17.5
library 17.2
design 16.9
light 16.7
indoor 16.5
lamp 16.2
office 15.4
luxury 14.6
wood 14.2
style 14.1
deck 13.8
empty 13.8
wall 13.7
hotel 13.4
decoration 12.3
indoors 12.3
contemporary 12.2
resort hotel 12.2
reflection 12.2
classroom 11.9
column 11.7
residential 11.5
cafeteria 11.4
seat 11
hallway 10.9
chairs 10.8
carpet 10.7
travel 10.6
dining 10.5
estate 10.5
place 10.3
lights 10.2
stone 10.1
glass 10.1
space 10.1
residence 9.9
tourism 9.9
door 9.9
business 9.7
entrance 9.7
windows 9.6
apartment 9.6
living 9.5
water 9.3
nobody 9.3
old 9.1
river 8.9
upscale 8.9
tables 8.9
passage 8.8
station 8.7
counter 8.7
comfortable 8.6
decorate 8.6
perspective 8.5
boat 8.4
long 8.3
new 8.1
ceiling 7.9
hardwood 7.9
mansion 7.9
3d 7.8
sofa 7.7
real 7.6
elegance 7.6
traditional 7.5
kitchen 7.4
transport 7.3
people 7.3
wooden 7
university 7

Google
created on 2019-06-05

Building 83.5
Room 81.5
Ballroom 75.2
Architecture 65.5
Monochrome 64.3
Hall 63.6
Waiting room 62.1
Black-and-white 56.4
Interior design 54.3
Lobby 50.3

Microsoft
created on 2019-06-05

indoor 98.8
table 97.9
floor 97.6
chair 95.4
ceiling 87.6
building 75.1
kitchen & dining room table 68
furniture 42.9
several 30.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.6%
Calm 49.8%
Angry 49.6%
Sad 49.6%
Happy 49.8%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.6%
Angry 49.6%
Happy 49.6%
Calm 49.6%
Surprised 49.6%
Sad 50.1%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Confused 49.6%
Happy 49.5%
Sad 49.7%
Surprised 49.6%
Angry 49.6%
Disgusted 49.5%
Calm 49.9%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Happy 49.5%
Disgusted 49.6%
Angry 49.9%
Surprised 49.5%
Calm 49.6%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Sad 49.5%
Disgusted 50.3%
Calm 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Disgusted 50%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.6%
Sad 49.8%
Happy 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Sad 49.7%
Angry 49.6%
Calm 49.9%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Disgusted 49.7%

AWS Rekognition

Age 12-22
Gender Female, 50%
Confused 49.6%
Happy 49.7%
Calm 49.7%
Sad 50%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50%
Surprised 49.6%
Sad 49.7%
Angry 49.7%
Disgusted 49.8%
Calm 49.7%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Surprised 49.6%
Sad 49.6%
Happy 49.8%
Disgusted 49.7%
Confused 49.5%
Calm 49.7%
Angry 49.6%

Feature analysis

Amazon

Person 98.9%

Categories

Imagga

interior objects 99.9%