Human Generated Data

Title

SNCC workers stand outside the funeral: Emma Bell, Dorie Ladner, Dona Richards, Sam Shirah, and Doris Derby

Date

1963, printed 2010

People

Artist: Danny Lyon, American born 1942

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Anonymous Gift, 2013.121

Copyright

© Danny Lyon/Magnum Photos

Human Generated Data

Title

SNCC workers stand outside the funeral: Emma Bell, Dorie Ladner, Dona Richards, Sam Shirah, and Doris Derby

People

Artist: Danny Lyon, American born 1942

Date

1963, printed 2010

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Anonymous Gift, 2013.121

Copyright

© Danny Lyon/Magnum Photos

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Human 99.8
Person 99.8
Person 99.7
Person 99.6
Person 99.6
Person 99.1
Person 98.6
Clothing 95.3
Apparel 95.3
Person 94.6
Person 93.2
Crowd 88.5
Person 82.8
People 82.8
Face 76.4
Person 75.6
Flag 73.8
Symbol 73.8
Plant 61.2
Parade 59.7
Female 58.6
Audience 56.9
Tree 55.9
Person 46.5

Clarifai
created on 2018-02-09

people 99.9
group 99.2
group together 97.5
many 97.5
child 96.2
adult 95.8
man 95.1
woman 94.3
administration 94.2
music 93.2
family 90.3
recreation 89.3
leader 89.2
wear 88.8
several 88.6
facial expression 88.5
musician 88
crowd 84.5
audience 84.2
boy 82.8

Imagga
created on 2018-02-09

portrait 22.6
black 22.4
person 21.7
people 21.2
man 19.5
adult 17.3
male 15.9
style 14.1
world 14
sexy 13.6
fashion 12.8
face 12.8
hair 12.7
attractive 11.9
love 11.8
bride 11.5
pretty 11.2
expression 11.1
model 10.9
dress 10.8
vintage 10.7
lady 10.5
women 10.3
happy 10
studio 9.9
retro 9.8
human 9.7
brunette 9.6
couple 9.6
smile 9.3
elegance 9.2
clothing 9.1
holding 9.1
blackboard 8.7
head 8.4
dark 8.3
wedding 8.3
performer 8.2
make 8.2
symbol 8.1
smiling 8
look 7.9
child 7.8
costume 7.8
eyes 7.7
hairstyle 7.6
art 7.4

Google
created on 2018-02-09

Microsoft
created on 2018-02-09

person 99.1
posing 76.9
people 65.6
group 58.9
old 54.5
crowd 0.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 26-43
Gender Female, 95.8%
Disgusted 2%
Confused 3.9%
Angry 9.6%
Surprised 2.3%
Happy 0.9%
Sad 23.5%
Calm 57.7%

AWS Rekognition

Age 35-52
Gender Female, 99%
Happy 1.1%
Disgusted 5%
Calm 14.6%
Surprised 1.3%
Angry 7.8%
Sad 51.3%
Confused 18.9%

AWS Rekognition

Age 26-43
Gender Male, 89.8%
Happy 2.9%
Confused 3.6%
Angry 3.7%
Surprised 2.2%
Disgusted 6.1%
Calm 66.2%
Sad 15.3%

AWS Rekognition

Age 48-68
Gender Male, 71.8%
Sad 1.9%
Surprised 2.3%
Confused 3.3%
Happy 1.1%
Calm 43.1%
Disgusted 9.8%
Angry 38.5%

AWS Rekognition

Age 26-43
Gender Male, 94.9%
Sad 64.3%
Disgusted 4.9%
Surprised 1.4%
Confused 13.3%
Angry 9.5%
Happy 0.8%
Calm 5.7%

AWS Rekognition

Age 26-43
Gender Female, 79%
Angry 12.4%
Calm 9%
Sad 54.8%
Confused 14.2%
Disgusted 5.4%
Happy 2.8%
Surprised 1.4%

AWS Rekognition

Age 49-69
Gender Male, 96.4%
Confused 2.7%
Surprised 1.7%
Disgusted 0.8%
Happy 0.7%
Sad 12.8%
Calm 78.4%
Angry 3%

AWS Rekognition

Age 26-43
Gender Female, 96.1%
Disgusted 1.4%
Angry 4.2%
Calm 75.6%
Happy 6.5%
Sad 3.1%
Surprised 3.8%
Confused 5.5%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Happy 45.2%
Sad 48.9%
Disgusted 45.3%
Surprised 45.4%
Calm 48.5%
Confused 45.5%
Angry 46.1%

AWS Rekognition

Age 20-38
Gender Male, 50.8%
Happy 45.1%
Confused 45.2%
Sad 45.6%
Angry 45.8%
Calm 52.4%
Disgusted 45.5%
Surprised 45.3%

AWS Rekognition

Age 35-52
Gender Female, 54.1%
Confused 45.5%
Surprised 45.6%
Disgusted 45.5%
Happy 49.2%
Sad 48%
Calm 45.3%
Angry 45.8%

AWS Rekognition

Age 26-43
Gender Male, 64.7%
Confused 1.3%
Happy 0.8%
Surprised 1.6%
Angry 2.1%
Sad 4.3%
Calm 88.7%
Disgusted 1.2%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.6%
Confused 49.5%
Disgusted 49.8%
Sad 49.7%
Angry 49.7%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 94.7%
Angry 1.5%
Confused 1.1%
Disgusted 1.3%
Happy 1.1%
Surprised 1.4%
Sad 86.3%
Calm 7.3%

AWS Rekognition

Age 26-43
Gender Female, 52.5%
Sad 46%
Calm 51%
Angry 45.4%
Surprised 45.4%
Confused 45.7%
Happy 46.3%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Male, 51.8%
Disgusted 49.9%
Angry 45.3%
Calm 47.5%
Sad 46.8%
Happy 45.1%
Confused 45.3%
Surprised 45.1%

AWS Rekognition

Age 29-45
Gender Female, 50.1%
Angry 45.5%
Calm 53%
Sad 45.5%
Happy 45.4%
Confused 45.1%
Surprised 45.3%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Male, 51.2%
Confused 45.4%
Sad 46.1%
Calm 48%
Surprised 45.8%
Disgusted 45.4%
Angry 46.2%
Happy 48.2%

AWS Rekognition

Age 23-38
Gender Male, 53.5%
Calm 47.7%
Sad 50.2%
Happy 45.5%
Surprised 45.5%
Angry 45.5%
Disgusted 45.2%
Confused 45.5%

Microsoft Cognitive Services

Age 35
Gender Male

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 34
Gender Female

Microsoft Cognitive Services

Age 72
Gender Male

Microsoft Cognitive Services

Age 31
Gender Female

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 Unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow 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

Feature analysis

Amazon

Person 99.8%