Human Generated Data

Title

Stop Police Killings, Selma

Date

1965

People

Artist: Steve Schapiro, American 1934 - 2022

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Richard and Ronay Menschel Fund for the Acquisition of Photographs, 2018.115

Copyright

© Steve Schapiro

Human Generated Data

Title

Stop Police Killings, Selma

People

Artist: Steve Schapiro, American 1934 - 2022

Date

1965

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Richard and Ronay Menschel Fund for the Acquisition of Photographs, 2018.115

Copyright

© Steve Schapiro

Machine Generated Data

Tags

Amazon
created on 2019-04-10

Human 99.4
Person 99.4
Footwear 99.4
Shoe 99.4
Apparel 99.4
Clothing 99.4
Person 98.9
Person 98.6
Person 98.6
Person 98.6
Person 97.3
Shoe 97.1
Coat 96.8
Person 92.4
Text 90.6
People 87.7
Crowd 84.1
Parade 76.6
Transportation 62.8
Protest 59.7
Shoe 59.6
Overcoat 59.6
Banner 59.3
Face 57.9
Vehicle 56.4
Shoe 54.2
Shoe 51

Clarifai
created on 2018-08-01

people 99.8
group 98.7
adult 97.6
many 97.2
administration 96.3
woman 96.2
man 95.5
group together 95
leader 90.4
wear 89.8
child 89.5
war 89.1
several 86.5
portrait 84.6
recreation 84.2
military 82.5
music 78.6
crowd 77.7
offense 75.4
chair 75.2

Imagga
created on 2018-08-01

black 31.9
person 25.7
fashion 20.3
dress 19.9
people 19.5
man 19.5
art 18.8
adult 18.3
face 15.6
model 15.5
portrait 15.5
style 14.8
attractive 14.7
lady 14.6
clothing 14.5
male 14.2
brunette 13.1
sexy 12.8
old 12.5
dark 12.5
posing 12.4
wall 12
grunge 11.1
pose 10.9
vintage 10.7
one 10.4
dance 10.4
hair 10.3
costume 10
stylish 9.9
eyes 9.5
culture 9.4
studio 9.1
modern 9.1
silhouette 9.1
retro 9
human 9
dancer 8.6
elegant 8.6
expression 8.5
performer 8.5
casual 8.5
clothes 8.4
sensuality 8.2
religion 8.1
body 8
business 7.9
hat 7.8
party 7.7
mystery 7.7

Google
created on 2018-08-01

Microsoft
created on 2018-08-01

person 100
outdoor 95.1
posing 93.6
people 93.6
group 91.5
standing 88.5
crowd 0.7

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 38-57
Gender Female, 95.4%
Sad 14.5%
Calm 38.1%
Happy 6.3%
Confused 10.9%
Disgusted 13.1%
Surprised 9.6%
Angry 7.5%

AWS Rekognition

Age 26-43
Gender Male, 97.1%
Angry 0.5%
Confused 0.7%
Surprised 0.4%
Disgusted 0.4%
Sad 0.7%
Happy 0.5%
Calm 96.9%

AWS Rekognition

Age 20-38
Gender Female, 82.9%
Angry 3.5%
Disgusted 4.6%
Sad 61.8%
Calm 14.5%
Confused 3.6%
Surprised 9.6%
Happy 2.4%

AWS Rekognition

Age 26-43
Gender Male, 99.7%
Confused 23.2%
Angry 6.8%
Surprised 7.7%
Calm 40.3%
Disgusted 4.2%
Happy 3.9%
Sad 13.9%

AWS Rekognition

Age 20-38
Gender Female, 80.5%
Surprised 1%
Angry 4.2%
Confused 18.4%
Disgusted 1.7%
Happy 0.6%
Sad 29%
Calm 45%

AWS Rekognition

Age 35-52
Gender Male, 99%
Disgusted 11.8%
Sad 2.6%
Angry 6.8%
Surprised 5.6%
Happy 5.6%
Calm 61.7%
Confused 5.9%

AWS Rekognition

Age 35-52
Gender Male, 89.3%
Calm 60.5%
Surprised 2.3%
Angry 5.4%
Happy 1.8%
Disgusted 3%
Confused 3.9%
Sad 23%

AWS Rekognition

Age 20-38
Gender Female, 69.7%
Sad 12.2%
Happy 1.7%
Calm 68.3%
Surprised 2.2%
Disgusted 1.3%
Angry 12.8%
Confused 1.6%

AWS Rekognition

Age 35-52
Gender Female, 75.8%
Surprised 2.2%
Happy 1.1%
Angry 29.3%
Calm 54.8%
Sad 9%
Disgusted 1.4%
Confused 2.2%

AWS Rekognition

Age 14-25
Gender Male, 77%
Confused 4.1%
Happy 3.3%
Disgusted 2.8%
Calm 56.3%
Surprised 5.1%
Sad 20.5%
Angry 7.9%

AWS Rekognition

Age 26-43
Gender Female, 75.5%
Disgusted 1.1%
Calm 60.4%
Sad 16.6%
Angry 4.2%
Confused 3.7%
Happy 12.4%
Surprised 1.6%

Microsoft Cognitive Services

Age 54
Gender Female

Microsoft Cognitive Services

Age 7
Gender Female

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 41
Gender Male

Microsoft Cognitive Services

Age 48
Gender Male

Google Vision

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

Google Vision

Surprise Possible
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 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

Person 99.4%
Shoe 99.4%
Coat 96.8%

Captions

Azure OpenAI

Created on 2024-11-20

This black and white image depicts a group of individuals participating in a gathering or protest. The focal point of the picture is a sign one person is holding that reads "STOP POLICE KILLINGS," which indicates that the group is assembled to express opposition to police violence. The participants are dressed in various styles, ranging from coats and jackets to hats, suggesting that the weather might be chilly. The group's attire and the black and white nature of the photo may suggest a historical context to the event, though the image quality and attire styles do not provide a specific time frame. The individuals' facial expressions cannot be described due to privacy redactions on their faces. The environment surrounding the group appears to be an urban setting with buildings in the backdrop. The sign's message conveys a serious and pressing social issue that the participants are advocating against.

Anthropic Claude

Created on 2024-11-20

The image depicts a group of people, both women and men, gathered together and holding a sign that reads "STOP POLICE KILLINGS". The sign is being held by a woman wearing glasses and a winter coat. The people in the image appear to be protesting or demonstrating against something, likely police violence or misconduct. The photograph has a somber and serious tone, capturing a moment of collective action and resistance.

Text analysis

Amazon

KILLINGS
STOP
POLICE

Google

STOP POLICE KILLINGS
STOP
POLICE
KILLINGS