Human Generated Data

Title

Social Settlements: Great Britain, England. Manchester. "Art Museum and University Settlement": Manchester Art Museum and University Settlement, Manchester, Eng.: Warden and Associates at Coniston in Lake District. Whitweek Holiday.

Date

c. 1903

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, 3.2002.2701.1

Human Generated Data

Title

Social Settlements: Great Britain, England. Manchester. "Art Museum and University Settlement": Manchester Art Museum and University Settlement, Manchester, Eng.: Warden and Associates at Coniston in Lake District. Whitweek Holiday.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2701.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.6
Human 99.6
Person 99.5
Person 99.5
Person 99.3
Person 98.9
Person 98.6
Person 98.5
Person 98.3
Person 98
Person 97.9
Person 97.4
Person 96.7
Person 95.7
Accessories 94.4
Accessory 94.4
Tie 94.4
Person 87.9
Clothing 84.1
Apparel 84.1
Person 79.8
Person 79.4
People 72
Sitting 72
Person 64.3
Crowd 55.7

Clarifai
created on 2019-06-05

people 99.9
group 99.3
adult 98.3
many 96.7
woman 96.7
man 96.2
child 93.9
group together 92.3
wear 88.4
administration 84.3
boy 82.5
home 81.8
portrait 81.7
family 80.9
music 78.1
leader 76.9
several 76.8
military 76.7
canine 76.6
recreation 72.6

Imagga
created on 2019-06-05

kin 100
old 23
statue 20
religion 18.8
people 18.4
man 18.1
history 17.9
ancient 16.4
architecture 15.6
sepia 15.5
stone 15.2
culture 14.5
sculpture 14.3
historic 12.8
family 12.4
vintage 12.4
art 12.4
historical 12.2
religious 12.2
monument 12.1
antique 12.1
church 12
city 11.6
person 11.2
building 10.6
mother 10.5
god 10.5
couple 10.4
scene 10.4
day 10.2
tradition 10.2
holiday 10
traditional 10
tourism 9.9
adult 9.8
faith 9.6
love 9.5
men 9.4
male 9.2
travel 9.1
girls 9.1
decoration 8.7
portrait 8.4
child 8.4
catholic 8.3
street 8.3
peace 8.2
retro 8.2
aged 8.1
marble 7.7
holy 7.7
grunge 7.7
musical instrument 7.6
house 7.5
room 7.4
classic 7.4
father 7.4
dirty 7.2
dress 7.2
home 7.2
face 7.1
life 7.1

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

building 100
outdoor 99.5
person 98.8
clothing 98.7
man 90.4
posing 89.8
old 87.4
group 67
smile 62.6
house 56.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 26-44
Gender Male, 54.8%
Calm 46.6%
Disgusted 45.1%
Confused 45.3%
Angry 46.2%
Happy 45.3%
Sad 51.5%
Surprised 45.1%

AWS Rekognition

Age 35-53
Gender Female, 51.6%
Happy 45.1%
Angry 50.6%
Calm 46.9%
Disgusted 45.4%
Sad 46.5%
Confused 45.3%
Surprised 45.2%

AWS Rekognition

Age 11-18
Gender Female, 54.6%
Disgusted 45.9%
Happy 45.5%
Confused 45.7%
Sad 48.2%
Angry 47.7%
Surprised 45.3%
Calm 46.7%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Calm 46.7%
Angry 48.6%
Disgusted 45.1%
Sad 48.8%
Surprised 45.1%
Happy 45.4%
Confused 45.3%

AWS Rekognition

Age 19-36
Gender Female, 52.9%
Disgusted 45.8%
Happy 46.1%
Confused 45.4%
Sad 45.2%
Angry 45.9%
Surprised 45.3%
Calm 51.3%

AWS Rekognition

Age 17-27
Gender Male, 54.3%
Sad 47%
Angry 46.4%
Calm 50.4%
Confused 45.5%
Happy 45.2%
Surprised 45.1%
Disgusted 45.3%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Happy 45.3%
Surprised 45.2%
Calm 46.3%
Confused 45.2%
Disgusted 45.3%
Angry 48.6%
Sad 49%

AWS Rekognition

Age 38-57
Gender Male, 54.6%
Disgusted 45.1%
Sad 49.9%
Surprised 45.1%
Calm 48.8%
Angry 45.7%
Happy 45.2%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.1%
Confused 45.5%
Surprised 45.7%
Calm 49%
Angry 46.4%
Disgusted 45.4%
Happy 45.9%
Sad 47.1%

AWS Rekognition

Age 15-25
Gender Male, 53.8%
Sad 47.6%
Happy 47.1%
Calm 47.4%
Surprised 45.3%
Angry 45.8%
Disgusted 45.6%
Confused 46.2%

AWS Rekognition

Age 16-27
Gender Male, 54.1%
Disgusted 45%
Confused 45.2%
Surprised 45.1%
Calm 45.1%
Happy 45%
Angry 53.8%
Sad 45.7%

AWS Rekognition

Age 35-52
Gender Male, 52%
Sad 53.6%
Calm 45.1%
Disgusted 45.3%
Happy 45.5%
Confused 45.1%
Angry 45.3%
Surprised 45.1%

AWS Rekognition

Age 9-14
Gender Female, 54.5%
Sad 45.8%
Confused 45.4%
Calm 51.6%
Disgusted 45.4%
Happy 46.2%
Angry 45.4%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Confused 45.4%
Disgusted 45.2%
Happy 46%
Calm 49.8%
Surprised 45.2%
Sad 48%
Angry 45.4%

AWS Rekognition

Age 20-38
Gender Female, 52.4%
Sad 46.3%
Surprised 45.2%
Angry 45.8%
Disgusted 45.1%
Confused 45.2%
Happy 45%
Calm 52.3%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Sad 48.9%
Surprised 45.3%
Angry 46.9%
Disgusted 47.6%
Confused 45.3%
Happy 45.7%
Calm 45.3%

AWS Rekognition

Age 26-43
Gender Female, 55%
Sad 47%
Confused 45.6%
Angry 45.5%
Happy 45.3%
Calm 50.8%
Surprised 45.5%
Disgusted 45.2%

AWS Rekognition

Age 26-44
Gender Male, 53.9%
Disgusted 45.1%
Surprised 45.1%
Confused 45.4%
Sad 45.5%
Angry 48.7%
Calm 50.1%
Happy 45.1%

Microsoft Cognitive Services

Age 50
Gender Male

Microsoft Cognitive Services

Age 45
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

Feature analysis

Amazon

Person 99.6%
Tie 94.4%

Categories

Imagga

people portraits 99.4%