Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Hampton Normal and Agricultural Institute, Hampton, Va.: A Wheelwright Shop.

Date

1899-1900

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2446.1

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Hampton Normal and Agricultural Institute, Hampton, Va.: A Wheelwright Shop.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1899-1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2446.1

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Assembly Line 100
Factory 100
Building 100
Human 99.3
Person 99.3
Person 98.7
Person 98.5
Person 98.5
Person 96
Person 93.5
Person 92.5
Person 90.7
Person 90.7
Person 77.2
Furniture 69.1
Chair 69.1
Manufacturing 68.6

Clarifai
created on 2019-06-04

people 100
group together 99.3
group 99.2
adult 98.9
many 98.3
furniture 97.5
several 95.7
administration 95.4
woman 95.3
man 94.7
room 94.7
wear 94
war 91
military 90.5
medical practitioner 89.9
leader 88.1
five 87.1
four 86.4
two 85.9
education 85.6

Imagga
created on 2019-06-04

room 64.5
classroom 46.6
interior 41.5
table 28.9
restaurant 28
chair 27.5
furniture 21.7
modern 21
workshop 18.4
kitchen 18.1
dining 18.1
house 17.5
architecture 16.4
hospital 16.2
home 15.9
decor 15.9
indoors 15.8
shop 15.7
inside 15.6
indoor 15.5
man 15.4
cafeteria 15.3
floor 14.9
design 14.6
light 13.4
wood 13.3
building 13.1
people 12.8
food 12.7
dinner 12.6
mercantile establishment 12.3
counter 12.2
male 12.1
machine 12
style 11.9
hotel 11.5
lamp 11.4
hall 11.4
work 11.1
decoration 10.8
wooden 10.5
person 10.5
women 10.3
industry 10.2
service 10.2
glass 10.1
barbershop 9.8
plant 9.8
business 9.7
sitting 9.4
contemporary 9.4
lifestyle 9.4
eat 9.2
holding 9.1
steel 9
tables 8.9
chairs 8.8
apartment 8.6
comfortable 8.6
wall 8.5
seat 8.5
center 8.5
eating 8.4
drink 8.3
equipment 8.3
window 8.2
oven 8.2
place of business 8.1
factory 7.9
men 7.7
luxury 7.7
lunch 7.7
plate 7.6
bar 7.4
meal 7.3
metal 7.2
smiling 7.2
office 7.1
clinic 7.1
adult 7.1
day 7.1
stove 7

Google
created on 2019-06-04

Table 71.7
Factory 71.2
Room 65.7
Office 56.3
Employment 54.3
Building 50.8

Microsoft
created on 2019-06-04

table 98.8
floor 97.9
indoor 96.6
person 95.5
furniture 92
clothing 86.4
old 79
black 74.4
factory 70.4
library 68.9
people 67.4
group 55.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-63
Gender Male, 54.2%
Surprised 45%
Calm 45%
Happy 45%
Sad 54.7%
Angry 45.2%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 20-38
Gender Female, 50.9%
Confused 45.5%
Sad 45.4%
Angry 45.6%
Disgusted 49.5%
Calm 46.5%
Surprised 45.8%
Happy 46.6%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Sad 48.9%
Disgusted 45.3%
Angry 49%
Surprised 45.4%
Calm 45.4%
Confused 45.6%
Happy 45.4%

AWS Rekognition

Age 48-68
Gender Male, 54.4%
Calm 45.6%
Disgusted 45.1%
Confused 45.2%
Angry 45.4%
Happy 45.1%
Sad 53.7%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Female, 53.8%
Confused 45.5%
Calm 51.6%
Happy 45.7%
Surprised 45.6%
Sad 45.9%
Angry 45.5%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Male, 52.8%
Angry 45.2%
Surprised 45.3%
Confused 45.2%
Sad 45.9%
Disgusted 46.3%
Happy 45.9%
Calm 51.2%

AWS Rekognition

Age 48-68
Gender Female, 52.5%
Calm 49.4%
Happy 45.5%
Surprised 45.5%
Sad 47.8%
Angry 45.8%
Disgusted 45.5%
Confused 45.5%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Happy 49.6%
Angry 49.6%
Calm 49.8%
Disgusted 49.6%
Sad 49.8%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Angry 49.5%
Surprised 49.5%
Calm 50.2%

Feature analysis

Amazon

Person 99.3%
Chair 69.1%

Categories

Text analysis

Amazon

MM

Google

59
59