Human Generated Data

Title

Actor Speaks at Malcolm's Funeral: New York: Negro actor-playwright Ossie Davis speaks to crowd of some 1,000 persons attending funeral for slain Negro extremist Malcolm X at the Faith Temple, Church of God in Christ, February 27th. Davis praised Malcolm as a "man who could unite many diverse elements." Messages from Negro and civil rights leaders from around the nation were read during the service.
Date

February 27, 1965
People

Artist: Gordon W. Gahan, American 1945 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.171

Human Generated Data

Title

Actor Speaks at Malcolm's Funeral: New York: Negro actor-playwright Ossie Davis speaks to crowd of some 1,000 persons attending funeral for slain Negro extremist Malcolm X at the Faith Temple, Church of God in Christ, February 27th. Davis praised Malcolm as a "man who could unite many diverse elements." Messages from Negro and civil rights leaders from around the nation were read during the service.

People

Artist: Gordon W. Gahan, American 1945 - 1984

Date

February 27, 1965

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.171

Machine Generated Data

Tags

Amazon
created on 2019-03-22

Human 99.6
Person 99.6
Person 98.2
Crowd 96.2
Indoors 94
Room 92.3
Person 91.3
Person 88.4
Person 87.8
Person 80.2
Funeral 76.8
Hall 72.8
Person 68.7
Person 61.3
Theater 60.4
Stage 56.6
Concert 55.7
Audience 55.5
Person 54.9
Person 50.7

Clarifai
created on 2019-03-22

people 99.9
adult 98.3
group 97.9
administration 97.6
man 97.1
many 96.8
group together 96.4
furniture 95.8
leader 94.9
woman 92
military 91.6
war 91.5
chair 90.8
room 90.1
one 90
wear 84.7
sit 84.5
child 80.2
indoors 79.2
seat 78.4

Imagga
created on 2019-03-22

barbershop 100
shop 91.7
mercantile establishment 69
chair 48.8
place of business 46
interior 43.3
room 37.6
furniture 36.9
table 32
restaurant 24.9
modern 24.5
barber chair 24.2
establishment 23.9
home 23.1
inside 21.2
seat 21
design 20.3
indoors 20.2
house 19.2
indoor 18.3
people 17.3
light 16.7
kitchen 16.2
man 16.1
floor 15.8
office 15.8
chairs 15.7
architecture 15.6
decor 15
style 14.8
dining 14.3
food 13.9
empty 13.7
dinner 13.5
lifestyle 13
window 12.8
business 12.7
glass 12.4
decoration 12.3
contemporary 12.2
luxury 12
work 11.8
wood 11.7
lamp 11.4
counter 11.4
desk 11.3
person 11.3
men 11.2
elegance 10.9
classroom 10.9
tables 10.8
comfortable 10.5
building 9.5
wall 9.4
nobody 9.3
service 9.3
bar 9.2
male 9.2
life 8.7
salon 8.7
apartment 8.6
party 8.6
hotel 8.6
old 8.4
drink 8.4
lunch 8.1
computer 8
smiling 8
black 7.8
meeting 7.5
hairdresser 7.5
occupation 7.3
domestic 7.2
wooden 7

Google
created on 2019-03-22

Photograph 95.5
Snapshot 82.9
History 60.4
Machine 56.2

Microsoft
created on 2019-03-22

person 95.9
indoor 95
old 82.8
vintage 29.5
design 8.6
military 5.3
music 5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 50%
Calm 49.8%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Male, 50.4%
Disgusted 49.6%
Calm 49.6%
Surprised 49.6%
Happy 49.5%
Sad 49.8%
Confused 49.6%
Angry 49.8%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Happy 49.5%
Disgusted 49.6%
Sad 49.6%
Angry 49.6%
Calm 50%
Confused 49.7%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Disgusted 49.5%
Calm 50.1%
Confused 49.5%
Angry 49.6%
Sad 49.7%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.8%
Disgusted 49.5%
Confused 49.5%
Happy 49.7%
Sad 49.9%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.6%
Calm 49.5%
Sad 49.5%
Angry 50.3%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Disgusted 45%
Calm 54.1%
Surprised 45%
Happy 45.1%
Sad 45.5%
Confused 45.1%
Angry 45.1%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Happy 49.7%
Calm 49.6%
Confused 49.5%
Disgusted 49.9%
Sad 49.6%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Sad 50.3%
Angry 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Male, 50.3%
Angry 49.6%
Surprised 49.5%
Disgusted 49.7%
Sad 49.7%
Calm 49.6%
Happy 49.9%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Surprised 49.5%
Sad 50.1%
Happy 49.5%
Disgusted 49.7%
Calm 49.5%
Confused 49.6%
Angry 49.7%

AWS Rekognition

Age 16-27
Gender Male, 50.3%
Happy 49.7%
Sad 50%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.6%
Surprised 49.5%
Calm 50.2%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 49.8%
Angry 49.6%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Confused 49.6%
Happy 49.5%
Angry 49.6%
Disgusted 49.6%
Calm 50%
Sad 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Happy 50.4%
Surprised 49.5%
Calm 49.5%
Angry 49.5%
Confused 49.5%
Sad 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Sad 49.9%
Happy 49.7%
Disgusted 49.6%
Calm 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Surprised 49.5%
Angry 49.6%
Confused 49.5%
Calm 49.6%
Sad 50.2%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Happy 49.5%
Surprised 49.5%
Confused 49.6%
Disgusted 49.7%
Calm 49.5%
Angry 49.8%
Sad 49.8%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Male, 50.1%
Angry 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Calm 50.1%
Disgusted 49.5%
Sad 49.7%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.6%
Angry 49.8%
Confused 49.5%
Sad 49.8%
Calm 49.6%
Happy 49.7%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Surprised 49.5%
Sad 49.7%
Confused 49.5%
Disgusted 49.6%
Calm 50.1%
Happy 49.5%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 50.4%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Happy 49.6%
Angry 49.6%
Sad 50%
Calm 49.7%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-55
Gender Male, 50.3%
Happy 49.6%
Angry 49.6%
Sad 49.8%
Calm 49.8%
Surprised 49.5%
Confused 49.5%
Disgusted 49.7%

AWS Rekognition

Age 14-25
Gender Male, 50.3%
Sad 49.7%
Calm 49.6%
Happy 49.6%
Angry 49.9%
Disgusted 49.7%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Sad 49.8%
Happy 49.6%
Calm 50%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.5%
Sad 50%
Calm 49.8%
Disgusted 49.5%
Surprised 49.5%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.2%
Angry 49.6%
Calm 49.5%
Disgusted 49.6%
Confused 49.5%
Sad 50.3%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.5%
Happy 49.8%
Confused 49.5%
Sad 49.6%
Surprised 49.5%
Calm 50%
Disgusted 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Happy 49.6%
Sad 49.8%
Angry 49.9%
Surprised 49.5%
Disgusted 49.6%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Disgusted 49.6%
Angry 49.6%
Happy 49.5%
Confused 49.6%
Calm 49.5%
Sad 50.3%
Surprised 49.5%

AWS Rekognition

Age 2-5
Gender Female, 50.3%
Surprised 49.5%
Disgusted 49.7%
Angry 49.6%
Sad 50%
Happy 49.5%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Angry 49.6%
Calm 49.9%
Surprised 49.6%
Disgusted 49.5%
Happy 49.5%
Confused 49.6%
Sad 49.7%

Feature analysis

Amazon

Person 99.6%

Categories

Imagga

interior objects 95.8%
food drinks 1.3%
streetview architecture 1.1%