Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Evening Play Centre.: Public School No.42 Manhattan.: Reading and Playing Room.

Date

c. 1900

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Evening Play Centre.: Public School No.42 Manhattan.: Reading and Playing Room.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Restaurant 99.9
Person 97.5
Human 97.5
Person 97.3
Furniture 97
Cafeteria 96.8
Person 96.2
Person 96
Person 92.3
Person 90.6
Person 89.2
Person 87.7
Person 83.5
Food Court 71.6
Food 71.6
Person 70.8
Person 69.8
Cafe 69.5
Crowd 67.5
Indoors 66
Chair 65.9
Room 65.4
Person 65.2
Person 63.9
Person 61.3
Chair 55.9
Chair 54.5

Clarifai

people 100
many 99.7
group 99.3
group together 99.1
administration 95.6
adult 94.9
military 94.3
man 93.3
chair 92.7
furniture 91.9
several 87.6
leader 87.5
offense 84
war 83.7
room 78
crowd 77.6
education 75.8
vehicle 74.4
woman 72.4
school 71.7

Imagga

room 44.1
restaurant 33.6
classroom 33.2
chair 30
cafeteria 29.3
interior 29.2
building 27.8
table 25.2
structure 17.8
house 17.5
furniture 17.1
people 15
decoration 15
home 14.3
modern 14
floor 13.9
decor 13.2
travel 12.7
architecture 12.5
hall 12.2
window 12.1
empty 12
dinner 11.9
chairs 11.7
indoor 10.9
wood 10.8
city 10.8
vacation 10.6
indoors 10.5
seat 10.1
design 10.1
inside 10.1
light 10
urban 9.6
hotel 9.5
glass 9.4
shop 9.1
style 8.9
wall 8.7
sea 8.6
men 8.6
luxury 8.6
beach 8.4
relax 8.4
relaxation 8.4
old 8.3
man 8.1
school 8
holiday 7.9
tables 7.9
boy 7.8
scene 7.8
sport 7.7
comfortable 7.6
decorate 7.6
dining 7.6
elegance 7.5
kitchen 7.5
resort 7.5
food 7.4
lifestyle 7.2
transportation 7.2
summer 7.1
day 7.1
graffito 7
wooden 7

Google

Photograph 95.8
Snapshot 86.4
Vintage clothing 76
Room 74.4
Monochrome 64.3
Crowd 57.8
Ballroom 56
Sitting 54.1
Art 50.2

Microsoft

ground 99
old 94.5
furniture 82.4
table 81.3
chair 79.6
person 78.1
black 65.3
group 56.3
several 15.7

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Angry 49.6%
Sad 49.6%
Happy 49.6%
Confused 49.5%
Calm 49.8%
Disgusted 49.7%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.7%
Sad 49.9%
Disgusted 49.5%
Happy 49.6%
Calm 49.8%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Calm 49.6%
Sad 50.1%
Surprised 49.5%
Confused 49.6%
Angry 49.6%
Disgusted 49.5%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Sad 49.9%
Confused 49.7%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Calm 49.5%
Surprised 49.6%

AWS Rekognition

Age 35-53
Gender Male, 50.4%
Surprised 49.6%
Confused 49.6%
Happy 49.7%
Angry 49.6%
Calm 49.9%
Sad 49.7%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Sad 49.6%
Disgusted 49.5%
Calm 50.2%
Surprised 49.5%
Happy 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.5%
Calm 49.5%
Happy 50.3%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 50.1%
Confused 49.6%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.7%

Feature analysis

Amazon

Person 97.5%
Chair 65.9%

Captions

Microsoft

a vintage photo of a group of people posing for the camera 69.3%
a vintage photo of a group of people posing for a picture 69.2%
a group of people posing for a photo 66.3%

Text analysis

Amazon

$6