Human Generated Data

Title

Social Settlements: United States. Illinois. Quincy. "Cheerful Home Settlement": Cheerful Home Settlement, Quincy, Ill.: Manual Training Class.
Date

1907
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, 3.2002.2905.1

Human Generated Data

Title

Social Settlements: United States. Illinois. Quincy. "Cheerful Home Settlement": Cheerful Home Settlement, Quincy, Ill.: Manual Training Class.

People

Artist: Unidentified Artist,

Date

1907

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2905.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99
Person 99
Person 98.7
Person 97.9
Person 96.9
Person 96.2
School 94.6
Person 94.3
Indoors 94.3
Classroom 94.3
Room 94.3
Person 94.1
Person 94.1
Person 93.5
Person 92.7
Person 91.8
Person 91.6
Person 91
Person 88.3
Person 84.7
Crowd 84.7
Person 83.9
Person 83
Audience 82.5
Accessory 79.2
Tie 79.2
Accessories 79.2
Tie 78.4
Person 75.8
Person 71.7
Suit 66.1
Overcoat 66.1
Coat 66.1
Apparel 66.1
Clothing 66.1
People 64
Person 63.6
Blackboard 63.5
Person 62.5
Person 62.4

Clarifai
created on 2019-06-05

people 100
group 99.9
many 99.9
child 99.4
group together 98.8
school 97.8
education 97
adult 95.4
administration 94.6
teacher 94.4
boy 94.1
woman 93.1
classroom 92.7
war 92.3
elementary school 91.8
room 89.3
several 87.9
man 87.4
leader 87.3
crowd 83.7

Imagga
created on 2019-06-05

man 27.7
kin 27
people 26.2
male 22.7
person 21.3
oboe 19.4
adult 18.1
portrait 16.8
men 16.3
wind instrument 16.2
group 16.1
room 15.9
couple 14.8
photographer 14.7
business 14.6
family 14.2
businessman 14.1
silhouette 14.1
musical instrument 14
happy 13.8
fashion 13.6
world 12.6
vintage 12.4
dress 11.7
classroom 11.6
black 11.6
sexy 11.2
home 11.2
women 11.1
smiling 10.8
interior 10.6
happiness 10.2
smile 10
team 9.8
retro 9.8
attractive 9.8
work 9.4
decoration 9.4
face 9.2
old 9
fun 9
style 8.9
posing 8.9
celebration 8.8
antique 8.6
ancient 8.6
woodwind 8.6
marriage 8.5
brass 8.5
friends 8.4
head 8.4
child 8.3
mother 8.2
building 8.2
lady 8.1
new 8.1
outfit 7.9
indoors 7.9
love 7.9
together 7.9
urban 7.9
brunette 7.8
model 7.8
bride 7.7
youth 7.7
violin 7.7
elegance 7.5
indoor 7.3
aged 7.2
success 7.2
lifestyle 7.2
professional 7.2
suit 7.2
groom 7.2
holiday 7.2
modern 7

Google
created on 2019-06-05

Social group 94.5
People 93.7
Room 65.7
Family 63.5
Vintage clothing 61.7
History 57.6
Child 52
Class 51.8

Microsoft
created on 2019-06-05

person 100
group 99.4
clothing 98.8
posing 98.2
human face 94.4
man 90.7
smile 89.4
old 86.8
people 84.9
black 81.2
standing 78.8
suit 71.7
woman 70.1
crowd 1.1

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 20-38
Gender Male, 91.6%
Happy 0.7%
Surprised 3.1%
Angry 3.2%
Sad 72.2%
Confused 2.3%
Disgusted 0.4%
Calm 18.2%

AWS Rekognition

Age 15-25
Gender Male, 99.9%
Sad 5.6%
Angry 4.9%
Calm 77.5%
Confused 6.8%
Happy 1.1%
Surprised 1.7%
Disgusted 2.4%

AWS Rekognition

Age 10-15
Gender Male, 98.5%
Disgusted 1.5%
Surprised 10.5%
Angry 2.4%
Confused 7.2%
Sad 13.6%
Calm 62.3%
Happy 2.6%

AWS Rekognition

Age 14-25
Gender Male, 92.7%
Sad 17%
Angry 9.1%
Calm 10.6%
Happy 7.4%
Disgusted 36.4%
Confused 13.7%
Surprised 5.8%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Sad 48.4%
Angry 47.8%
Calm 47.8%
Confused 45.3%
Happy 45.3%
Surprised 45.2%
Disgusted 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Calm 45.1%
Confused 45.1%
Angry 48.6%
Surprised 45%
Disgusted 45.1%
Sad 51%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 57.9%
Sad 95.7%
Disgusted 0.3%
Surprised 0.5%
Angry 1.7%
Happy 0.3%
Calm 0.9%
Confused 0.7%

AWS Rekognition

Age 17-27
Gender Male, 54.1%
Calm 46%
Angry 45.3%
Disgusted 45.3%
Sad 53.3%
Surprised 45%
Happy 45%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 54%
Disgusted 45%
Happy 45%
Sad 55%
Angry 45%
Calm 45%
Confused 45%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Sad 48%
Disgusted 45.1%
Confused 45.1%
Surprised 45.2%
Calm 49.3%
Happy 45.2%
Angry 47.2%

AWS Rekognition

Age 26-43
Gender Female, 71.7%
Confused 6.9%
Sad 43.4%
Angry 7.4%
Disgusted 2.2%
Calm 16.7%
Surprised 19%
Happy 4.4%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Surprised 45%
Calm 45.2%
Happy 45%
Sad 54.6%
Confused 45%
Angry 45.1%
Disgusted 45%

AWS Rekognition

Age 27-44
Gender Male, 82.4%
Disgusted 3.2%
Surprised 4.6%
Happy 1%
Calm 60.1%
Angry 6.6%
Sad 19%
Confused 5.5%

AWS Rekognition

Age 35-55
Gender Female, 52%
Surprised 45.1%
Happy 45.1%
Confused 45.2%
Calm 45.2%
Disgusted 45.1%
Angry 45.1%
Sad 54.2%

AWS Rekognition

Age 10-15
Gender Male, 52.5%
Sad 54.5%
Surprised 45%
Calm 45.1%
Happy 45%
Disgusted 45.1%
Confused 45.2%
Angry 45.1%

AWS Rekognition

Age 20-38
Gender Male, 51.3%
Happy 45%
Calm 52.9%
Sad 46.3%
Angry 45.4%
Confused 45.2%
Surprised 45.2%
Disgusted 45.1%

AWS Rekognition

Age 45-63
Gender Female, 50.5%
Disgusted 45.1%
Happy 45%
Surprised 45%
Angry 45.1%
Confused 45%
Calm 45%
Sad 54.8%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Happy 46.2%
Angry 45.4%
Calm 45.9%
Disgusted 49.3%
Sad 47.2%
Confused 45.4%
Surprised 45.6%

AWS Rekognition

Age 16-27
Gender Male, 52.3%
Happy 45%
Surprised 45%
Calm 45.2%
Confused 45%
Disgusted 45.1%
Angry 54.7%
Sad 45.1%

AWS Rekognition

Age 26-43
Gender Female, 52.7%
Surprised 45.1%
Disgusted 45.1%
Confused 45.1%
Sad 45.6%
Calm 45.1%
Happy 45%
Angry 54%

AWS Rekognition

Age 48-68
Gender Male, 53.7%
Calm 52.5%
Sad 46.4%
Disgusted 45.1%
Happy 45.3%
Surprised 45.2%
Angry 45.4%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Female, 53.9%
Disgusted 45.2%
Confused 45.2%
Angry 45.2%
Happy 47.2%
Calm 47.9%
Surprised 45.5%
Sad 48.8%

AWS Rekognition

Age 35-52
Gender Male, 53.7%
Disgusted 45.4%
Surprised 45.3%
Angry 45.5%
Confused 45.3%
Sad 48.7%
Calm 49.3%
Happy 45.5%

AWS Rekognition

Age 26-43
Gender Female, 51.2%
Happy 45.4%
Calm 48%
Confused 45.8%
Angry 45.5%
Disgusted 45.5%
Sad 48.9%
Surprised 45.8%

AWS Rekognition

Age 48-68
Gender Male, 50.6%
Calm 45.8%
Confused 45.1%
Sad 48.6%
Angry 45.2%
Happy 50%
Disgusted 45.2%
Surprised 45.2%

AWS Rekognition

Age 10-15
Gender Male, 96.1%
Happy 5.7%
Calm 33.1%
Sad 19.2%
Angry 8.6%
Confused 8.2%
Surprised 12.8%
Disgusted 12.4%

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 24
Gender Female

Microsoft Cognitive Services

Age 42
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 40
Gender Female

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 38
Gender Female

Microsoft Cognitive Services

Age 30
Gender Female

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 27
Gender Male

Microsoft Cognitive Services

Age 34
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 44
Gender Female

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 24
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 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 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 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%
Tie 79.2%
Suit 66.1%

Categories

Imagga

events parties 57.8%
people portraits 39.6%
interior objects 1.7%

Text analysis

Amazon

hp
Chusful
Mannal Saining hp
Saining
Mannal
Chusful Home 1Bay
1907
1Bay
Home

Google

Crsfud Komo Bepe Stanual Inining Sh f 1707
Crsfud
Komo
Bepe
Stanual
Inining
Sh
f
1707