Human Generated Data

Title

Social Settlements: United States. Maryland. Baltimore. "Locust Point Social Settlement": The Locust Point Social Settlement, Baltimore, Md.: Watercolor Class

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, 3.2002.2965.2

Human Generated Data

Title

Social Settlements: United States. Maryland. Baltimore. "Locust Point Social Settlement": The Locust Point Social Settlement, Baltimore, Md.: Watercolor Class

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, 3.2002.2965.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.5
Person 99.5
Person 99.5
Person 99.5
Person 99.2
Person 99.1
Person 98.5
Person 98.5
Person 98.5
Person 98.3
Person 98.3
Person 98.2
School 97.7
Person 97.4
People 96.1
Person 95.7
Indoors 89.7
Room 89.7
Classroom 89.7
Family 81.6
Kindergarten 55.5

Clarifai
created on 2019-06-05

child 100
people 100
group 100
education 99.1
son 99
group together 98.6
sibling 98.4
school 98.1
many 98.1
five 98.1
four 97.6
elementary school 97.4
several 97.4
boy 97.2
offspring 96.8
portrait 95.8
teacher 95.7
music 94
administration 92.1
adult 90.9

Imagga
created on 2019-06-05

kin 100
family 56
mother 40.8
happy 39.5
child 37.6
male 36.2
senior 35.6
together 32.4
people 32.4
father 31.8
man 30.9
daughter 30.6
smiling 30.4
home 30.3
love 30
couple 28.7
children 27.3
husband 25.8
boy 25.2
kid 23.9
happiness 23.5
portrait 23.3
smile 22.8
parent 21.4
wife 20.9
lifestyle 20.2
fun 20.2
old 20.2
elderly 20.1
son 20.1
kids 19.8
grandmother 19.6
cheerful 19.5
grandfather 19.4
person 19.2
mature 18.6
adult 16.8
loving 16.2
generations 15.8
retired 15.5
girls 15.5
group 15.3
grandma 15
men 14.6
casual 14.4
indoors 14.1
mom 13.6
two 13.6
retirement 13.4
women 13.4
childhood 13.4
married 13.4
baby 13.1
adorable 12.9
grandchild 12.8
face 12.8
affection 12.6
30s 12.5
cute 12.2
granddaughter 11.8
grandparent 11.8
parents 11.7
joy 11.7
little 11.5
togetherness 11.3
dad 11.1
four 10.5
enjoying 10.4
laughing 10.4
friendship 10.3
holiday 10
leisure 10
pensioner 9.8
brother 9.8
boys 9.7
hug 9.7
affectionate 9.7
sitting 9.4
playing 9.1
holding 9.1
aged 9.1
blond 9
clothing 9
room 8.7
mid adult 8.7
gift 8.6
friends 8.5
human 8.2
school 8.2
gray 8.1
life 7.9
70s 7.9
day 7.8
mum 7.8
parenthood 7.8
thirties 7.8
middle aged 7.8
having 7.7
couch 7.7
teacher 7.7
generation 7.7
age 7.6
pair 7.6
horizontal 7.5
park 7.4
care 7.4
indoor 7.3
looking 7.2
interior 7.1

Google
created on 2019-06-05

People 97.8
Social group 93.2
Child 84.9
Family 72.8
Vintage clothing 61.7
Monochrome 54.4
History 54.1
Sibling 51.2

Microsoft
created on 2019-06-05

person 99.9
clothing 99.5
human face 99.5
child 98
posing 97.1
wall 97
indoor 96.7
baby 96.1
group 95.8
toddler 95.6
smile 94.9
boy 92.7
family 88.4
black 83
white 80.8
old 64.2
photograph 61.7
woman 50

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 9-14
Gender Female, 62.9%
Calm 20.1%
Sad 65.1%
Confused 3.8%
Happy 1.2%
Angry 4.7%
Disgusted 3.3%
Surprised 1.8%

AWS Rekognition

Age 11-18
Gender Male, 98.5%
Disgusted 1%
Calm 91.5%
Confused 1.9%
Surprised 1.1%
Happy 0.9%
Angry 1.3%
Sad 2.3%

AWS Rekognition

Age 35-52
Gender Male, 92.1%
Confused 5.9%
Disgusted 1.4%
Happy 1.7%
Calm 39.6%
Surprised 2.7%
Sad 14.7%
Angry 34%

AWS Rekognition

Age 9-14
Gender Male, 82.2%
Sad 4.2%
Surprised 0.7%
Angry 0.7%
Disgusted 0.6%
Confused 0.5%
Happy 0.6%
Calm 92.7%

AWS Rekognition

Age 10-15
Gender Male, 78.6%
Surprised 2%
Confused 2.1%
Sad 19.8%
Calm 65.9%
Happy 5.1%
Disgusted 2.8%
Angry 2.3%

AWS Rekognition

Age 16-27
Gender Female, 93.7%
Angry 2.2%
Calm 8.1%
Sad 84%
Disgusted 1%
Happy 1.1%
Confused 2.3%
Surprised 1.4%

AWS Rekognition

Age 10-15
Gender Female, 55.5%
Happy 0.3%
Angry 2.9%
Disgusted 0.7%
Confused 2.1%
Sad 18.5%
Calm 74.6%
Surprised 0.8%

AWS Rekognition

Age 4-9
Gender Female, 97.1%
Happy 20.1%
Disgusted 3.8%
Confused 4.9%
Surprised 4%
Sad 11.6%
Angry 3.7%
Calm 51.9%

AWS Rekognition

Age 26-43
Gender Male, 83.6%
Surprised 1.7%
Happy 1.2%
Confused 2.3%
Calm 40.3%
Disgusted 2%
Angry 2.9%
Sad 49.5%

AWS Rekognition

Age 23-38
Gender Female, 77.8%
Calm 53.3%
Sad 17.1%
Happy 2%
Angry 5.1%
Disgusted 4.4%
Confused 3.3%
Surprised 14.7%

AWS Rekognition

Age 10-15
Gender Female, 89.4%
Disgusted 0.4%
Confused 0.5%
Surprised 0.3%
Calm 1.6%
Happy 0.3%
Angry 0.6%
Sad 96.4%

AWS Rekognition

Age 30-47
Gender Female, 76.2%
Calm 69.6%
Angry 9.8%
Confused 1.2%
Sad 17.5%
Happy 0.2%
Disgusted 0.9%
Surprised 0.8%

AWS Rekognition

Age 26-43
Gender Male, 78.5%
Disgusted 1.3%
Surprised 1.3%
Angry 9.9%
Confused 1.7%
Sad 77.3%
Calm 4.8%
Happy 3.7%

Microsoft Cognitive Services

Age 17
Gender Female

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 16
Gender Female

Microsoft Cognitive Services

Age 31
Gender Female

Microsoft Cognitive Services

Age 9
Gender Female

Microsoft Cognitive Services

Age 29
Gender Female

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 29
Gender Female

Microsoft Cognitive Services

Age 7
Gender Female

Microsoft Cognitive Services

Age 42
Gender Female

Microsoft Cognitive Services

Age 30
Gender Female

Microsoft Cognitive Services

Age 30
Gender Female

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

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

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 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 99.5%

Categories

Imagga

people portraits 99.9%

Text analysis

Google

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