Human Generated Data

Title

Miscellaneous [Social Settlements: Canada. Montreal. University Settlement]?

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, 3.2002.3350.2

Human Generated Data

Title

Miscellaneous [Social Settlements: Canada. Montreal. University Settlement]?

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, 3.2002.3350.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Tie 99.7
Accessories 99.7
Accessory 99.7
Human 99.7
Person 99.7
Musician 99.3
Musical Instrument 99.3
Person 99.1
Person 98.9
Person 98.7
Person 98
Person 97.3
Tie 95.6
Person 95.5
Person 95.1
Tie 95
Tie 94.7
Person 94
Person 93.8
Tie 93.8
Person 92.7
Person 92.6
Person 90.3
Person 90.1
Person 89.6
Percussion 88.6
Drummer 88.6
Tie 84.7
Tie 84.4
Person 84.1
People 82.7
Person 82
Drum 77.9
Person 76.7
Person 73.1
Person 68.1
Person 62.9
Military Uniform 62.4
Military 62.4
Music Band 61.5
Person 61.2
Person 49.8

Clarifai
created on 2019-06-05

people 100
group 99.4
group together 99.3
many 99.1
adult 97.8
administration 96.2
uniform 94.7
military 94.1
wear 93.7
child 93.6
man 93.2
war 91.8
several 91.4
outfit 88.5
drum 88
boy 87.3
soldier 87.2
school 85.1
leader 84.8
woman 82.4

Imagga
created on 2019-06-05

musical instrument 88.8
banjo 78.9
drum 63
stringed instrument 61.4
percussion instrument 53.2
old 14.6
sport 9.2
attractive 8.4
people 8.4
hat 7.8
adult 7.7
wall 7.7
industry 7.7
vintage 7.4
clothing 7.4
business 7.3
helmet 7.3
black 7.2
market 7.1
ball 7.1

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

person 99.6
group 98
posing 95.8
clothing 88.2
old 85.1
drum 65.5
man 65.4
people 58.5
team 25.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 14-25
Gender Female, 55%
Disgusted 47.4%
Happy 45.4%
Surprised 47.8%
Angry 45.8%
Confused 45.2%
Calm 47.2%
Sad 46.2%

AWS Rekognition

Age 10-15
Gender Male, 54.7%
Calm 54.4%
Sad 45.2%
Confused 45.1%
Happy 45%
Angry 45.2%
Disgusted 45%
Surprised 45%

AWS Rekognition

Age 11-18
Gender Male, 53%
Disgusted 45%
Confused 45.1%
Angry 45.1%
Sad 45.5%
Surprised 45%
Happy 45%
Calm 54.2%

AWS Rekognition

Age 20-38
Gender Male, 51.3%
Calm 54.2%
Disgusted 45.1%
Confused 45.1%
Happy 45%
Angry 45.1%
Surprised 45.3%
Sad 45.2%

AWS Rekognition

Age 17-27
Gender Male, 54.8%
Sad 46.4%
Disgusted 45.2%
Confused 45.5%
Surprised 46%
Calm 50.8%
Happy 45.1%
Angry 46.1%

AWS Rekognition

Age 15-25
Gender Male, 54.4%
Confused 45.8%
Happy 45%
Angry 45.5%
Sad 45.7%
Calm 50.5%
Disgusted 45.1%
Surprised 47.2%

AWS Rekognition

Age 45-63
Gender Male, 54.7%
Sad 45.1%
Happy 45.1%
Disgusted 45.3%
Calm 52.4%
Angry 45.4%
Confused 45.5%
Surprised 46.3%

AWS Rekognition

Age 20-38
Gender Male, 54.1%
Calm 52.7%
Sad 45.4%
Disgusted 45.8%
Happy 45.1%
Surprised 45.1%
Angry 45.4%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Male, 54.5%
Calm 54.8%
Angry 45%
Disgusted 45%
Sad 45%
Surprised 45.1%
Happy 45%
Confused 45%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 45.1%
Confused 45.1%
Calm 54.6%
Disgusted 45%
Happy 45%
Angry 45.1%
Surprised 45.1%

AWS Rekognition

Age 15-25
Gender Male, 54.9%
Sad 45.2%
Calm 53.7%
Disgusted 45%
Happy 45%
Confused 45.3%
Angry 45.2%
Surprised 45.5%

AWS Rekognition

Age 20-38
Gender Male, 54.5%
Surprised 45.2%
Confused 45.5%
Sad 45.9%
Calm 51.2%
Happy 45.1%
Disgusted 45.4%
Angry 46.7%

AWS Rekognition

Age 15-25
Gender Male, 54.9%
Calm 54%
Confused 45.2%
Surprised 45.1%
Sad 45.4%
Happy 45.1%
Angry 45.1%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Sad 45.8%
Surprised 45.3%
Angry 46.5%
Disgusted 45.3%
Confused 46.3%
Happy 45%
Calm 50.6%

AWS Rekognition

Age 15-25
Gender Male, 54.5%
Happy 45.1%
Angry 45.4%
Disgusted 45.1%
Confused 45.4%
Sad 47.4%
Calm 51.5%
Surprised 45.2%

AWS Rekognition

Age 23-38
Gender Male, 54.8%
Sad 46.8%
Surprised 45.4%
Happy 45.2%
Disgusted 45.1%
Angry 45.6%
Calm 51.1%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Confused 45.3%
Happy 45.2%
Angry 45.6%
Sad 45.2%
Calm 51.7%
Disgusted 46.8%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Male, 54.9%
Calm 53.8%
Sad 45.2%
Confused 45.2%
Happy 45.1%
Angry 45.1%
Disgusted 45.1%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Male, 53.8%
Happy 45.1%
Angry 45.3%
Calm 52.8%
Confused 45.3%
Surprised 45.3%
Disgusted 46%
Sad 45.3%

AWS Rekognition

Age 20-38
Gender Male, 54.9%
Surprised 45.4%
Confused 45.9%
Happy 45.4%
Angry 45.6%
Calm 51.8%
Sad 45.7%
Disgusted 45.2%

AWS Rekognition

Age 15-25
Gender Female, 53.6%
Happy 45.9%
Surprised 45.3%
Angry 45.7%
Sad 48.1%
Confused 45.3%
Disgusted 45.3%
Calm 49.4%

AWS Rekognition

Age 15-25
Gender Male, 51.8%
Disgusted 45.1%
Angry 45.2%
Confused 45.3%
Surprised 47.5%
Calm 51.7%
Sad 45.2%
Happy 45%

AWS Rekognition

Age 11-18
Gender Female, 53.5%
Angry 45.2%
Calm 54%
Sad 45.1%
Confused 45.1%
Disgusted 45.3%
Happy 45.1%
Surprised 45.3%

AWS Rekognition

Age 16-27
Gender Male, 52%
Disgusted 45.1%
Calm 45.3%
Surprised 53.7%
Angry 45.3%
Sad 45.4%
Confused 45.2%
Happy 45.1%

AWS Rekognition

Age 23-38
Gender Male, 54.9%
Happy 45%
Surprised 45.2%
Angry 45.1%
Sad 45.3%
Confused 45.1%
Calm 54.2%
Disgusted 45%

AWS Rekognition

Age 23-38
Gender Male, 54.7%
Surprised 46.2%
Happy 45.3%
Confused 45.7%
Calm 49.8%
Disgusted 45.3%
Angry 45.9%
Sad 46.9%

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 19
Gender Male

Microsoft Cognitive Services

Age 25
Gender Male

Microsoft Cognitive Services

Age 15
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 35
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 Unlikely
Blurred Very unlikely

Google Vision

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

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
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

Tie 99.7%
Person 99.7%

Text analysis

Amazon

ML
XI