Human Generated Data

Title

[Crowd in front of the General Motors pavilion, New York World's Fair, 1938]

Date

1940s-1950s

People

Artist: Lyonel Feininger, American 1871 - 1956

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of T. Lux Feininger, BRLF.1006.209

Copyright

© Artists Rights Society (ARS), New York / VG Bild-Kunst, Bonn

Human Generated Data

Title

[Crowd in front of the General Motors pavilion, New York World's Fair, 1938]

People

Artist: Lyonel Feininger, American 1871 - 1956

Date

1940s-1950s

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of T. Lux Feininger, BRLF.1006.209

Copyright

© Artists Rights Society (ARS), New York / VG Bild-Kunst, Bonn

Machine Generated Data

Tags

Amazon
created on 2023-10-24

People 100
Clothing 99.9
Coat 99.9
Walking 99.4
Airport 99.3
Terminal 99.1
Person 97.3
Person 97.3
Person 97.2
Person 96.8
Person 94.2
Person 94.1
Person 92.9
Person 91.3
Person 91.1
Person 90.2
Person 87.5
Person 87.5
Person 87
Person 85.9
Person 85.6
Person 84.6
Aircraft 84.4
Airplane 84.4
Transportation 84.4
Vehicle 84.4
Person 83.6
Person 82.5
Person 81.3
Person 78.3
Person 78
Person 77.7
Crowd 74.8
Person 73.6
Person 73.5
Overcoat 72.5
Person 68.2
Person 67
Person 61
Face 60.8
Head 60.8
Cinema 60.7
Shop 57
Urban 56.9
Railway 56.2
Train 56.2
Train Station 56.2
Person 56.2
Bus Stop 55.9
Outdoors 55.9
Road 55.7
Tarmac 55.7
City 55.4
Pedestrian 55.3
Architecture 55.2
Building 55.2
Monastery 55.2

Clarifai
created on 2023-10-15

people 99.5
many 98.4
group 97.4
group together 97.2
street 96.9
airport 96.6
aircraft 95.4
airplane 92.8
crowd 91.9
vehicle 91.6
man 90.7
woman 87
transportation system 86.9
adult 85.2
commerce 84.6
monochrome 84.1
travel 83.9
military 81
city 80.4
wear 78.6

Imagga
created on 2019-02-03

sky 31.2
landscape 26.8
travel 25.3
flag 22.8
sunset 22.5
city 19.9
building 19.5
clouds 19.4
water 17.3
cloud 17.2
river 16.9
urban 16.6
supermarket 16.2
summer 16.1
structure 15.5
emblem 15.4
ocean 14.9
horizon 14.4
transportation 14.3
vehicle 14.1
sea 14.1
scenic 14
coast 13.5
dusk 13.3
trees 13.3
architecture 13.3
grocery store 13.1
vacation 13.1
sun 12.9
transport 12.8
scenery 12.6
rural 11.5
light 11.4
scene 11.3
evening 11.2
car 11
airplane 10.9
aircraft 10.8
tree 10.8
park 10.7
mountain 10.7
jet 10.6
panorama 10.5
buildings 10.4
business 10.3
cloudy 10.3
tourist 10.1
silhouette 9.9
road 9.9
airliner 9.9
marketplace 9.8
new 9.7
outdoors 9.7
industry 9.4
craft 9.3
boat 9.3
speed 9.2
mercantile establishment 9.1
grass 8.7
dramatic 8.7
truck 8.5
winter 8.5
bay 8.5
beach 8.4
planetarium 8.4
field 8.4
sport 8.3
lake 8.2
island 8.2
meadow 8.1
recreation 8.1
night 8
country 7.9
outdoor 7.6
traffic 7.6
bridge 7.6
sunrise 7.5
airport 7.3
calm 7.3
national 7.3
holiday 7.2
tower 7.2
stall 7.1

Google
created on 2019-02-03

Airplane 91.3
Aviation 87.4
Air travel 83.7
Vehicle 81.8
Aircraft 78.1
Airline 59.1
Passenger 54.2
Airport 52.3

Microsoft
created on 2019-02-03

plane 98.5
outdoor 93.1
people 89.3
group 60.6
black and white 46.9
old 46.9
monochrome 22.4
aviation 19.1
airport 15
street 9.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-43
Gender Female, 98.2%
Calm 85.8%
Surprised 7.6%
Fear 6.5%
Happy 4.4%
Sad 2.7%
Confused 2.5%
Angry 1%
Disgusted 0.8%

AWS Rekognition

Age 22-30
Gender Female, 59%
Calm 62.8%
Sad 18.6%
Confused 8.2%
Surprised 7.2%
Fear 7%
Angry 5.1%
Happy 1.9%
Disgusted 1.3%

AWS Rekognition

Age 39-47
Gender Male, 99.4%
Calm 99.1%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.4%
Confused 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 9-17
Gender Male, 99.4%
Calm 70.7%
Angry 15.3%
Surprised 6.9%
Fear 6.2%
Disgusted 4.3%
Sad 4%
Happy 1.7%
Confused 1.4%

AWS Rekognition

Age 26-36
Gender Male, 99.5%
Calm 43.4%
Sad 23%
Angry 13.5%
Confused 12.1%
Surprised 7.7%
Disgusted 7%
Fear 6.3%
Happy 1.9%

AWS Rekognition

Age 16-24
Gender Female, 53.7%
Calm 97.8%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Happy 0.5%
Confused 0.5%
Disgusted 0.2%
Angry 0.1%

AWS Rekognition

Age 18-26
Gender Female, 62.9%
Sad 81.3%
Calm 49.2%
Fear 7%
Surprised 6.8%
Happy 5.4%
Disgusted 1.7%
Angry 1.7%
Confused 1.2%

AWS Rekognition

Age 12-20
Gender Male, 62.3%
Sad 97.4%
Calm 33.6%
Surprised 7.4%
Fear 7.3%
Confused 5.1%
Disgusted 1.7%
Angry 1.1%
Happy 0.9%

AWS Rekognition

Age 16-24
Gender Male, 100%
Calm 90.2%
Surprised 7%
Fear 6.1%
Sad 4.3%
Disgusted 1%
Angry 0.8%
Confused 0.6%
Happy 0.5%

AWS Rekognition

Age 6-14
Gender Male, 93%
Calm 59.8%
Sad 13.7%
Angry 13.4%
Confused 7.3%
Surprised 6.9%
Fear 6.4%
Disgusted 2.3%
Happy 0.8%

AWS Rekognition

Age 23-31
Gender Male, 88%
Calm 98.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.5%
Confused 0.3%
Angry 0.2%
Disgusted 0%

AWS Rekognition

Age 11-19
Gender Male, 99.8%
Calm 97.4%
Surprised 6.3%
Fear 5.9%
Sad 2.9%
Happy 0.2%
Confused 0.1%
Angry 0.1%
Disgusted 0%

AWS Rekognition

Age 16-24
Gender Female, 57.7%
Fear 70.8%
Sad 24.8%
Calm 13.9%
Disgusted 6.8%
Surprised 6.6%
Angry 1.9%
Happy 1.7%
Confused 1.6%

AWS Rekognition

Age 4-12
Gender Male, 94.6%
Calm 94.2%
Surprised 6.4%
Fear 6.1%
Sad 2.5%
Angry 2.2%
Confused 0.9%
Disgusted 0.3%
Happy 0.3%

AWS Rekognition

Age 22-30
Gender Male, 79.3%
Calm 63%
Angry 18.4%
Sad 7.5%
Surprised 7.3%
Fear 6.4%
Confused 2.8%
Disgusted 2.5%
Happy 1.1%

AWS Rekognition

Age 11-19
Gender Male, 99.8%
Calm 87.7%
Surprised 6.6%
Happy 6.1%
Fear 5.9%
Sad 3.6%
Disgusted 0.8%
Angry 0.6%
Confused 0.3%

AWS Rekognition

Age 25-35
Gender Male, 99.9%
Calm 98%
Surprised 6.3%
Fear 5.9%
Sad 2.6%
Angry 0.2%
Happy 0.1%
Confused 0.1%
Disgusted 0%

Feature analysis

Amazon

Person 97.3%
Airplane 84.4%

Categories

Text analysis

Amazon

MOTORS
GENERAL MOTORS
GENERAL
AVE
AVE OF TRANSPORTATION
TRANSPORTATION
OF