Human Generated Data

Title

Social Settlements: United States. Michigan. Detroit. "Franklin Street Settlement": The Franklin Street Settlement, Detroit, Mich.: Woman's Club.

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Social Settlements: United States. Michigan. Detroit. "Franklin Street Settlement": The Franklin Street Settlement, Detroit, Mich.: Woman's Club.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 99.6
Person 99.6
Person 98.8
Person 97.8
Person 97.7
Person 97.7
Person 97.4
Person 97.1
Person 91.6
Person 90.2
Person 88.5
Person 88.4
People 88.1
Person 84.9
Text 84.3
Person 82.3
Person 80.9
Kindergarten 80.9
Brick 71.8
Person 67.5
School 67.1
Porch 61
Workshop 59.8
Clothing 59.6
Apparel 59.6
Room 59.5
Indoors 59.5
Classroom 57.9
Person 56.8
Person 48.3
Person 44.6

Clarifai

people 99.9
many 99.6
group 99.4
group together 99.2
crowd 97.7
adult 97.1
child 96.6
man 94.5
woman 94.4
boy 90.6
spectator 89.4
wear 88.9
leader 86.9
street 86.8
administration 86.5
outfit 81.8
recreation 81.6
uniform 80.2
wait 78.3
school 77.8

Imagga

graffito 48.6
decoration 30.6
cemetery 17.7
old 16.7
building 14.9
city 14.1
snow 12.9
man 12.8
architecture 12.6
memorial 12.2
history 11.6
stone 11.2
transportation 10.7
travel 10.6
danger 10
vintage 9.9
structure 9.8
people 9.5
world 9.4
industrial 9.1
military 8.7
war 8.6
sculpture 8.6
statue 8.6
monument 8.4
musical instrument 8.4
church 8.3
street 8.3
tourism 8.2
vehicle 8.1
dirty 8.1
road 8.1
landmark 8.1
religion 8.1
black 7.8
portrait 7.8
death 7.7
grunge 7.7
brick 7.5
dark 7.5
outdoors 7.5
transport 7.3
gravestone 7.1
male 7.1
day 7.1

Google

Photograph 96.7
People 93.1
Snapshot 86.5
Room 65.7
History 62.6
Art 62.5
Photography 62.4
Child 61.3
Family 59.7
Vintage clothing 52.1

Microsoft

person 98.7
clothing 93.9
outdoor 87.1
posing 86
black 76.7
group 74.7
woman 71.6
old 64.2
people 57.8

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Sad 51.1%
Disgusted 45.5%
Surprised 45.2%
Happy 45.2%
Confused 45.8%
Calm 45.5%
Angry 46.7%

AWS Rekognition

Age 35-52
Gender Female, 51.1%
Disgusted 45.3%
Calm 45%
Confused 45.1%
Happy 45.1%
Surprised 45.1%
Angry 45.7%
Sad 53.7%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.6%
Confused 49.6%
Happy 49.6%
Surprised 49.5%
Angry 49.7%
Disgusted 49.9%
Sad 49.7%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Disgusted 49.5%
Surprised 49.5%
Sad 50.1%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 35-53
Gender Male, 50.5%
Happy 49.5%
Calm 49.7%
Sad 49.8%
Surprised 49.5%
Angry 49.7%
Confused 49.7%
Disgusted 49.6%

AWS Rekognition

Age 45-63
Gender Female, 50.4%
Angry 49.6%
Confused 49.5%
Calm 49.6%
Surprised 49.5%
Sad 49.6%
Happy 49.5%
Disgusted 50.1%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Confused 49.5%
Sad 49.9%
Disgusted 49.5%
Angry 50%
Happy 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Angry 49.6%
Calm 50.1%
Surprised 49.5%
Sad 49.6%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 14-23
Gender Male, 50.3%
Surprised 49.5%
Happy 49.5%
Sad 50.1%
Angry 49.9%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.4%
Calm 49.5%
Sad 49.6%
Happy 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Disgusted 50.2%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Calm 49.5%
Sad 50.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50.3%
Angry 49.6%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

Age 30-47
Gender Male, 50.1%
Calm 49.6%
Surprised 49.5%
Happy 49.5%
Angry 49.9%
Confused 49.5%
Sad 50%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 49.7%
Happy 50.2%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.1%
Disgusted 49.5%
Happy 49.5%
Angry 50.3%
Surprised 49.5%
Sad 49.6%
Confused 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Surprised 49.5%
Calm 49.6%
Happy 49.6%
Confused 49.5%
Disgusted 49.5%
Sad 50.1%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Angry 50%
Confused 49.6%
Calm 49.5%
Disgusted 49.8%
Happy 49.5%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.5%
Disgusted 49.5%
Sad 49.6%
Angry 49.5%
Surprised 49.5%
Happy 50%
Calm 49.9%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.5%
Happy 49.5%
Sad 50.3%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.1%
Angry 49.5%
Surprised 49.5%
Sad 49.6%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%
Happy 50.2%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.5%
Surprised 49.6%
Angry 49.6%
Happy 50%
Sad 49.7%
Calm 49.5%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Calm 49.6%
Sad 49.6%
Confused 49.5%
Angry 49.5%
Disgusted 49.6%
Surprised 49.5%
Happy 50.2%

AWS Rekognition

Age 4-7
Gender Male, 50.1%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.7%
Sad 50.2%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50%
Disgusted 49.5%
Surprised 49.5%
Sad 49.8%
Angry 50.2%
Happy 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Happy 45.2%
Sad 50.7%
Confused 45.6%
Calm 47.5%
Angry 45.7%
Disgusted 45.2%
Surprised 45.1%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Sad 49.8%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Happy 50.1%

AWS Rekognition

Age 48-68
Gender Female, 50.5%
Confused 49.5%
Happy 50.2%
Sad 49.7%
Disgusted 49.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 51.4%
Happy 45.6%
Disgusted 47.7%
Surprised 45.3%
Sad 48.2%
Confused 45.6%
Angry 45.6%
Calm 46.9%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 50.2%
Calm 49.5%
Sad 49.7%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Confused 49.5%
Angry 49.7%
Disgusted 49.6%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Sad 50.4%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.7%
Sad 50.3%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.4%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 50.4%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 49-69
Gender Female, 50%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Calm 49.5%
Sad 50.3%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Confused 49.6%
Angry 49.9%
Disgusted 49.6%
Calm 49.8%
Happy 49.6%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 50.1%
Sad 49.6%
Confused 49.5%
Calm 49.7%
Angry 49.5%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 38-57
Gender Male, 50.3%
Surprised 49.5%
Sad 49.7%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Calm 50.1%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 50.3%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 50.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.6%
Calm 49.5%
Sad 50.2%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50.1%
Calm 49.7%
Disgusted 49.7%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.8%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.5%
Happy 49.5%
Sad 49.7%
Disgusted 50%
Angry 49.6%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 52.6%
Sad 48.6%
Disgusted 45.1%
Calm 45.4%
Confused 45.1%
Happy 45%
Surprised 45.1%
Angry 50.8%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 49.5%
Sad 50.3%
Calm 49.5%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.4%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 45-65
Gender Male, 50.3%
Calm 49.6%
Angry 49.5%
Happy 49.6%
Sad 50.2%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Angry 50%
Happy 49.5%
Calm 49.6%
Confused 49.5%
Sad 49.9%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.5%
Angry 49.6%
Confused 49.5%
Calm 49.7%
Surprised 49.5%
Sad 50.1%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Angry 49.9%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Sad 49.9%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 38-57
Gender Male, 50.4%
Sad 50.2%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.6%
Calm 49.7%
Angry 49.6%

Feature analysis

Amazon

Person 99.6%

Captions

Microsoft

a group of people posing for a photo 97.1%
a group of people posing for a photo in front of a building 97%
an old photo of a group of people posing for the camera 96.2%

Text analysis

Amazon

Womon's
SFy
Club.
Hh

Google

S F4 Womon's Club.
Womon's
Club.
S
F4