Human Generated Data

Title

Untitled (group portrait of women's club in domestic interior, Londonderry, NH)
Date

December 8, 1954
People

Artist: Francis J. Sullivan, American 1916 - 1996
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.18118

Human Generated Data

Title

Untitled (group portrait of women's club in domestic interior, Londonderry, NH)

People

Artist: Francis J. Sullivan, American 1916 - 1996

Date

December 8, 1954

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.18118

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Person 99.3
Human 99.3
Person 98.9
Person 98.7
Person 98.5
Person 98.5
Person 97
Person 96.4
Person 90.7
Person 89.8
Person 89
Person 84.7
Person 84.3
Person 83.8
People 78.9
Person 75.5
Person 75.2
Military Uniform 73.1
Military 73.1
Face 69.3
Army 63.6
Armored 63.6
Clinic 63.5
Crowd 63
Bed 62.8
Furniture 62.8
Female 62.1
Audience 58.1
Clothing 57.9
Apparel 57.9
Soldier 57.3
Person 50.2
Person 48.4

Clarifai
created on 2019-11-16

people 100
group 99.4
many 98.7
adult 97.7
group together 97
woman 95.7
child 95.2
man 94.1
administration 93.4
leader 90.5
wear 89.9
furniture 86.1
sit 85.4
several 83.9
reclining 82.7
family 82.1
actress 81.1
military 76.2
room 74.2
war 72.9

Imagga
created on 2019-11-16

graffito 41
decoration 32.6
wall 23.2
man 19.5
old 19.5
people 18.4
grunge 17
city 15.8
sketch 15.7
snow 15.6
drawing 14.6
winter 14.5
paint 13.6
aged 13.6
black 13.2
urban 13.1
dirty 12.6
building 12.3
kin 11.9
vintage 11.6
business 11.5
scene 11.2
antique 11.2
ancient 11.2
men 11.2
person 11
pattern 10.9
male 10.6
businessman 10.6
adult 10.4
texture 10.4
cold 10.3
architecture 10.1
street 10.1
house 10
travel 9.9
world 9.9
family 9.8
textured 9.6
art 9.3
stone 9.3
retro 9
group 8.9
outdoors 8.2
detail 8
room 7.9
design 7.9
work 7.8
representation 7.7
finance 7.6
life 7.6
sport 7.6
human 7.5
silhouette 7.4
historic 7.3
team 7.2
women 7.1
surface 7.1

Google
created on 2019-11-16

Photograph 96.6
Black-and-white 91
Snapshot 88.7
Monochrome 83.2
Photography 77
Stock photography 71.4
Monochrome photography 69.6
Room 65.7
Art 62.5
Visual arts 59.3
Family 55.3
Style 52.5
Vintage clothing 50.7
Illustration 50.4

Microsoft
created on 2019-11-16

person 98.3
clothing 98.1
woman 91.4
group 90
text 80.1
man 78.1
people 72.5
footwear 65.3
posing 58.3
old 49.9
stone 3.5

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 49-67
Gender Male, 54.8%
Confused 45%
Surprised 45%
Happy 45%
Sad 45%
Disgusted 45%
Angry 45%
Calm 55%
Fear 45%

AWS Rekognition

Age 44-62
Gender Female, 53%
Fear 45.1%
Confused 45%
Disgusted 45%
Angry 45.1%
Sad 45.1%
Calm 54.5%
Happy 45.1%
Surprised 45.1%

AWS Rekognition

Age 3-9
Gender Female, 52.8%
Surprised 45.3%
Confused 45.1%
Calm 54%
Happy 45%
Sad 45.1%
Angry 45.4%
Disgusted 45.1%
Fear 45.1%

AWS Rekognition

Age 21-33
Gender Female, 50.4%
Angry 45.3%
Happy 45.8%
Disgusted 45.2%
Fear 45%
Confused 47.3%
Surprised 45.2%
Calm 51.1%
Sad 45.2%

AWS Rekognition

Age 11-21
Gender Female, 52.1%
Calm 54.2%
Sad 45.2%
Happy 45%
Angry 45.3%
Fear 45%
Surprised 45.1%
Confused 45.1%
Disgusted 45%

AWS Rekognition

Age 36-52
Gender Female, 53%
Fear 45%
Calm 54.3%
Sad 45%
Surprised 45.2%
Disgusted 45.1%
Angry 45.1%
Happy 45%
Confused 45.2%

AWS Rekognition

Age 16-28
Gender Female, 54%
Disgusted 45%
Angry 45.2%
Confused 45.1%
Sad 45.1%
Calm 51.8%
Happy 46.9%
Fear 45.1%
Surprised 45.7%

AWS Rekognition

Age 36-52
Gender Female, 52.9%
Confused 45.1%
Sad 45.1%
Happy 45.2%
Angry 45.3%
Fear 45%
Disgusted 45%
Calm 54.2%
Surprised 45.1%

AWS Rekognition

Age 43-61
Gender Male, 54.5%
Happy 45%
Angry 45%
Confused 45.1%
Calm 54.9%
Disgusted 45%
Fear 45%
Surprised 45%
Sad 45%

AWS Rekognition

Age 17-29
Gender Male, 53.8%
Calm 47.9%
Disgusted 45.1%
Happy 45%
Fear 45.1%
Surprised 45.1%
Sad 45.2%
Confused 45.4%
Angry 51.3%

AWS Rekognition

Age 40-58
Gender Female, 54.9%
Surprised 45.1%
Angry 45.1%
Happy 45%
Fear 45%
Calm 54.6%
Disgusted 45%
Sad 45%
Confused 45%

AWS Rekognition

Age 27-43
Gender Female, 54.6%
Confused 45.6%
Angry 45.9%
Surprised 48.6%
Calm 46.9%
Disgusted 45.1%
Fear 47.6%
Sad 45.3%
Happy 45%

AWS Rekognition

Age 16-28
Gender Female, 54.9%
Angry 45.3%
Happy 45%
Disgusted 45.1%
Sad 45.3%
Calm 52.6%
Surprised 46.2%
Confused 45.4%
Fear 45.1%

AWS Rekognition

Age 36-54
Gender Female, 54.9%
Calm 46.2%
Angry 47.3%
Fear 46%
Happy 45%
Sad 46.7%
Confused 45.3%
Disgusted 48%
Surprised 45.4%

AWS Rekognition

Age 38-56
Gender Female, 53.7%
Sad 45%
Angry 45%
Happy 45.1%
Calm 54.7%
Fear 45%
Disgusted 45%
Confused 45%
Surprised 45.1%

AWS Rekognition

Age 36-52
Gender Male, 54.2%
Happy 45%
Angry 45%
Disgusted 45%
Calm 55%
Fear 45%
Surprised 45%
Confused 45%
Sad 45%

AWS Rekognition

Age 49-67
Gender Male, 52.2%
Disgusted 45%
Fear 45%
Calm 54.8%
Surprised 45.1%
Angry 45.1%
Confused 45%
Happy 45%
Sad 45%

AWS Rekognition

Age 29-45
Gender Female, 54.9%
Disgusted 45.1%
Happy 45%
Angry 45.3%
Calm 54.1%
Surprised 45.2%
Confused 45.1%
Sad 45.1%
Fear 45%

AWS Rekognition

Age 7-17
Gender Female, 54.7%
Fear 45%
Happy 45.1%
Confused 45%
Calm 54.5%
Disgusted 45.2%
Sad 45%
Angry 45.1%
Surprised 45.1%

AWS Rekognition

Age 47-65
Gender Male, 54.7%
Disgusted 45%
Calm 54.9%
Fear 45%
Happy 45%
Confused 45%
Sad 45%
Surprised 45%
Angry 45%

AWS Rekognition

Age 3-9
Gender Male, 54.2%
Angry 51.8%
Disgusted 45%
Fear 45%
Sad 45.4%
Happy 45%
Calm 47.6%
Confused 45%
Surprised 45.1%

AWS Rekognition

Age 23-37
Gender Male, 50.2%
Surprised 45%
Happy 45%
Sad 45.2%
Fear 45%
Calm 54.8%
Confused 45%
Disgusted 45%
Angry 45%

AWS Rekognition

Age 23-35
Gender Female, 54.9%
Calm 48.7%
Sad 45.2%
Happy 45.6%
Angry 45.6%
Fear 45.1%
Confused 45.4%
Surprised 45.9%
Disgusted 48.4%

AWS Rekognition

Age 36-52
Gender Female, 54.4%
Calm 45.1%
Fear 45.5%
Happy 53.2%
Angry 45.4%
Surprised 45.1%
Disgusted 45%
Sad 45.5%
Confused 45.2%

AWS Rekognition

Age 14-26
Gender Female, 51.6%
Confused 45%
Calm 54.9%
Sad 45%
Surprised 45%
Happy 45%
Disgusted 45%
Fear 45%
Angry 45%

AWS Rekognition

Age 35-51
Gender Male, 54.2%
Angry 45.7%
Fear 45%
Calm 54.2%
Sad 45%
Disgusted 45%
Happy 45%
Confused 45%
Surprised 45%

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 64
Gender Female

Microsoft Cognitive Services

Age 49
Gender Female

Microsoft Cognitive Services

Age 36
Gender Female

Microsoft Cognitive Services

Age 39
Gender Female

Microsoft Cognitive Services

Age 53
Gender Female

Microsoft Cognitive Services

Age 30
Gender Female

Microsoft Cognitive Services

Age 40
Gender Female

Microsoft Cognitive Services

Age 33
Gender Female

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 4
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.3%