Human Generated Data

Title

Untitled (group of women in living room holding pots, pans, bowls, spoons, etc)

Date

1953

People

Artist: Harry Annas, American 1897 - 1980

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2478

Human Generated Data

Title

Untitled (group of women in living room holding pots, pans, bowls, spoons, etc)

People

Artist: Harry Annas, American 1897 - 1980

Date

1953

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2478

Machine Generated Data

Tags

Amazon
created on 2019-06-17

Human 99.4
Person 99.4
Person 99.1
Person 98.7
Person 98.4
Person 97.7
Person 97.5
Person 96.9
Person 95.5
Person 93.4
Person 92.1
Indoors 91.1
Room 90.2
Person 89.5
Person 89.1
Furniture 88.4
Chair 88.4
People 87.6
Person 82
Clothing 79
Apparel 79
Shorts 79
Crowd 67.7
Kindergarten 63.6
Person 63.3
Kid 62.6
Child 62.6
Overcoat 62.3
Coat 62.3
Suit 62.3
Person 62
Photography 59
Portrait 59
Face 59
Photo 59
Couch 58.2
Plant 57.9
School 56.3
Classroom 56.3

Clarifai
created on 2019-06-17

people 99.7
child 98.3
group together 98.1
many 97.7
education 96.4
school 96.4
group 93.3
adult 93.1
boy 88.3
man 88.3
classroom 86.8
crowd 84.8
woman 83.6
recreation 81.9
elementary school 80.1
wear 79.6
uniform 79.2
motion 74.7
outfit 69.4
several 66.2

Imagga
created on 2019-06-17

person 39.7
male 33.3
teacher 32
sport 30.1
people 29.5
group 29
ball 28.4
man 28.2
adult 27.9
men 24
student 22.5
educator 20
happy 19.4
soccer ball 19.2
boy 19.1
child 18.5
professional 17.8
women 17.4
fun 17.2
classroom 16.3
competition 15.5
team 15.2
game equipment 14.8
planner 14
couple 13.9
athlete 13.9
life 13.7
family 13.3
active 13.2
together 13.1
player 13
lifestyle 13
exercise 12.7
room 12.6
portrait 12.3
casual 11.8
girls 11.8
love 11.8
run 11.6
holding 11.5
black 11.4
mother 11.4
school 11.3
education 11.2
happiness 11
joy 10.8
smiling 10.8
fitness 10.8
equipment 10.8
friendship 10.3
enrollee 10.1
teenager 10
silhouette 9.9
father 9.9
kid 9.7
businessman 9.7
outdoors 9.7
body 9.6
training 9.2
children 9.1
attractive 9.1
recreation 9
parent 8.9
students 8.8
class 8.7
crowd 8.6
business 8.5
friends 8.4
beach 8.4
outdoor 8.4
study 8.4
dancer 8.1
copy space 8.1
hands 7.8
modern 7.7
diversity 7.7
hand 7.6
world 7.6
laughing 7.6
field 7.5
human 7.5
leisure 7.5
teamwork 7.4
action 7.4
teen 7.3
sunset 7.2
game 7.1
dance 7.1

Google
created on 2019-06-17

Photograph 97.1
Snapshot 86.9
Room 79.1
Black-and-white 74.4
Team 72.7
Photography 70.6
Sitting 64.4
Class 63.5
Child 61.3
Monochrome 60.1
Family 54.8

Microsoft
created on 2019-06-17

person 99
clothing 96.6
footwear 78.8
group 74.8
boy 69.9
white 66.4
posing 58.1
crowd 1.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Male, 54.6%
Confused 45.2%
Sad 47%
Angry 45.5%
Calm 49.3%
Surprised 45.3%
Disgusted 45.7%
Happy 47.1%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Angry 46%
Sad 46.3%
Disgusted 45.4%
Confused 45.2%
Happy 45.7%
Calm 51.1%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Calm 53%
Surprised 45.2%
Angry 45.2%
Disgusted 45.2%
Confused 45.2%
Happy 45.4%
Sad 45.9%

AWS Rekognition

Age 35-53
Gender Male, 54.9%
Disgusted 45.2%
Confused 45.1%
Surprised 45.2%
Calm 53.8%
Happy 45.2%
Angry 45.1%
Sad 45.3%

AWS Rekognition

Age 20-38
Gender Female, 54.2%
Disgusted 45.1%
Surprised 45.3%
Confused 45.1%
Sad 45.1%
Happy 52.8%
Calm 46.5%
Angry 45.2%

AWS Rekognition

Age 27-44
Gender Male, 54.7%
Surprised 45.1%
Calm 52.7%
Disgusted 45.1%
Sad 46.4%
Happy 45.5%
Confused 45.1%
Angry 45.2%

AWS Rekognition

Age 45-65
Gender Female, 50.9%
Angry 45.7%
Calm 49.3%
Confused 46.3%
Happy 45.2%
Disgusted 45.1%
Sad 47.6%
Surprised 45.8%

AWS Rekognition

Age 23-38
Gender Male, 54%
Disgusted 45.2%
Surprised 45.3%
Confused 45.2%
Sad 47.5%
Calm 51%
Angry 45.2%
Happy 45.6%

AWS Rekognition

Age 26-44
Gender Male, 54.6%
Happy 45.1%
Disgusted 45.3%
Angry 45.1%
Calm 54.2%
Surprised 45.1%
Confused 45.1%
Sad 45.2%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Happy 45%
Disgusted 45%
Angry 45.1%
Calm 54.6%
Surprised 45.1%
Confused 45.1%
Sad 45.2%

AWS Rekognition

Age 35-52
Gender Female, 53.1%
Confused 45.2%
Angry 45.3%
Disgusted 45.1%
Calm 53%
Happy 45.2%
Surprised 45.4%
Sad 45.7%

AWS Rekognition

Age 26-43
Gender Female, 54.3%
Calm 51%
Happy 45.1%
Surprised 45.3%
Disgusted 45.1%
Angry 45.1%
Confused 45.3%
Sad 48.1%

AWS Rekognition

Age 45-63
Gender Male, 54.4%
Angry 45.3%
Sad 46.6%
Calm 52.1%
Disgusted 45.2%
Surprised 45.2%
Confused 45.2%
Happy 45.4%

AWS Rekognition

Age 19-36
Gender Male, 54.6%
Disgusted 45.3%
Happy 45.8%
Confused 45.4%
Calm 49.9%
Sad 47.2%
Angry 45.9%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Male, 53%
Sad 47.4%
Surprised 45.2%
Angry 45.4%
Happy 51%
Confused 45.1%
Disgusted 45.2%
Calm 45.8%

AWS Rekognition

Age 26-43
Gender Male, 55%
Confused 45%
Angry 45.1%
Sad 45.4%
Disgusted 45%
Happy 45.2%
Calm 54.2%
Surprised 45.1%

AWS Rekognition

Age 23-38
Gender Female, 54.6%
Confused 45.2%
Happy 45.4%
Sad 45.8%
Surprised 45.2%
Calm 52.6%
Disgusted 45.4%
Angry 45.4%

AWS Rekognition

Age 57-77
Gender Male, 52.3%
Angry 45.1%
Sad 46%
Disgusted 45.2%
Calm 51.9%
Happy 46.5%
Surprised 45.1%
Confused 45.1%

AWS Rekognition

Age 19-36
Gender Female, 51.1%
Confused 46.1%
Sad 46.2%
Angry 45.8%
Calm 49.5%
Surprised 45.9%
Disgusted 45.9%
Happy 45.7%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Confused 45.1%
Happy 53.2%
Sad 45.3%
Surprised 45.1%
Calm 46%
Disgusted 45.1%
Angry 45.2%

AWS Rekognition

Age 35-52
Gender Female, 51.5%
Calm 48.6%
Confused 45.2%
Disgusted 46.9%
Angry 45.9%
Happy 45.8%
Sad 46.2%
Surprised 46.4%

Feature analysis

Amazon

Person 99.4%

Categories

Text analysis

Amazon

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