Human Generated Data

Title

Untitled (Horse Dance, Java)

Date

January 26, 1960-February 2, 1960

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.2335

Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (Horse Dance, Java)

People

Artist: Ben Shahn, American 1898 - 1969

Date

January 26, 1960-February 2, 1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.2335

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-06

People 99.8
Person 98.3
Person 97.2
Person 96.3
Dancing 95.8
Leisure Activities 95.8
Person 93.9
Adult 93.9
Male 93.9
Man 93.9
Person 93.7
Person 92.9
Person 92.7
Person 90.7
Person 89.7
Person 84.9
Face 78.1
Head 78.1
Person 77.5
Person 77.3
Accessories 76.6
Glasses 76.6
Person 69.4
Person 68.5
Person 66.1
Person 65.4
Person 65.4
Person 62.5
Person 61.2
Person 60.6
Person 59.2
Person 57.8
Outdoors 57.5
Clothing 55.4
Shorts 55.4
Animal 55
Bull 55
Mammal 55

Clarifai
created on 2018-05-10

people 100
group 99.6
group together 99.6
many 99.5
adult 98.7
man 96.8
wear 94.3
woman 91.8
several 90.3
military 90.2
outfit 88.1
spectator 86.4
administration 85.5
music 84.8
crowd 83.7
leader 81.5
war 81.3
recreation 79.5
vehicle 77.4
weapon 76.8

Imagga
created on 2023-10-06

man 28.9
people 23.4
person 23.1
sport 20
outdoor 19.1
male 18.5
uniform 18.4
adult 16.9
military 16.4
outdoors 15.2
protection 14.5
danger 13.6
stretcher 13.6
crutch 13.5
lifestyle 13
portrait 12.9
soldier 12.7
kin 12.5
walking 12.3
together 12.3
summer 12.2
clothing 12
war 11.5
pedestrian 11.5
active 11.4
couple 11.3
world 11.3
trombone 11.1
litter 11
leisure 10.8
nuclear 10.7
vacation 10.6
travel 10.6
mask 10.5
staff 10.4
military uniform 10.3
sky 10.2
gun 10.2
street 10.1
happy 10
dirty 9.9
holding 9.9
brass 9.9
destruction 9.8
toxic 9.8
protective 9.7
fun 9.7
child 9.7
horse 9.6
weapon 9.5
day 9.4
outside 9.4
two 9.3
competition 9.1
stick 9.1
conveyance 9.1
industrial 9.1
radioactive 8.8
radiation 8.8
chemical 8.7
gas 8.7
rifle 8.6
walk 8.6
city 8.3
tourist 8.3
speed 8.2
wind instrument 7.9
stalker 7.9
camouflage 7.8
musical instrument 7.8
boy 7.8
accident 7.8
men 7.7
old 7.7
teen 7.3
girls 7.3
women 7.1
grass 7.1
happiness 7

Google
created on 2018-05-10

Microsoft
created on 2018-05-10

person 99.6
outdoor 99.4
group 77.2
people 75.8
crowd 20.8

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 18-26
Gender Male, 98%
Calm 86.4%
Surprised 7.3%
Fear 7.3%
Confused 2.6%
Angry 2.6%
Sad 2.5%
Disgusted 1.1%
Happy 0.8%

AWS Rekognition

Age 22-30
Gender Female, 73.7%
Calm 90.4%
Surprised 8.6%
Fear 6%
Angry 3.9%
Sad 2.2%
Disgusted 0.8%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 6-14
Gender Female, 100%
Fear 68.3%
Angry 38%
Surprised 7.7%
Calm 2.6%
Sad 2.5%
Confused 2.3%
Disgusted 0.7%
Happy 0.3%

AWS Rekognition

Age 23-31
Gender Male, 99.3%
Calm 57.6%
Confused 15.3%
Surprised 11.5%
Fear 8.8%
Angry 7.1%
Sad 2.6%
Disgusted 2.4%
Happy 1.9%

AWS Rekognition

Age 6-12
Gender Male, 98.1%
Calm 86.7%
Fear 7.9%
Surprised 6.8%
Sad 2.5%
Angry 2.4%
Confused 2.1%
Disgusted 1.4%
Happy 0.6%

AWS Rekognition

Age 22-30
Gender Male, 100%
Calm 97.5%
Surprised 6.5%
Fear 6%
Sad 2.3%
Confused 0.8%
Disgusted 0.3%
Angry 0.2%
Happy 0.2%

AWS Rekognition

Age 16-22
Gender Male, 86.6%
Angry 83.9%
Calm 8%
Fear 7%
Surprised 6.7%
Sad 3%
Confused 1%
Disgusted 0.7%
Happy 0.4%

AWS Rekognition

Age 12-20
Gender Male, 62.4%
Calm 71.4%
Angry 19%
Surprised 7.3%
Fear 7.1%
Sad 3%
Confused 0.9%
Happy 0.8%
Disgusted 0.5%

AWS Rekognition

Age 22-30
Gender Female, 70.1%
Fear 27.1%
Calm 25.4%
Angry 22.1%
Surprised 10.2%
Disgusted 5.7%
Sad 5%
Happy 4.5%
Confused 3.5%

AWS Rekognition

Age 18-26
Gender Male, 98.2%
Surprised 98.2%
Confused 7.6%
Fear 7.3%
Calm 4.4%
Sad 2.8%
Happy 1.8%
Angry 1.6%
Disgusted 1.5%

AWS Rekognition

Age 2-8
Gender Female, 80.1%
Fear 96.5%
Surprised 6.5%
Calm 3.1%
Sad 2.9%
Happy 2.4%
Disgusted 0.5%
Angry 0.5%
Confused 0.2%

AWS Rekognition

Age 13-21
Gender Male, 56.8%
Calm 37.7%
Angry 33.7%
Confused 9.7%
Fear 8.4%
Surprised 7.3%
Sad 5%
Disgusted 4.2%
Happy 0.9%

AWS Rekognition

Age 4-12
Gender Male, 90.5%
Calm 42.7%
Angry 26.2%
Fear 19.5%
Surprised 6.7%
Sad 3.7%
Confused 3.1%
Disgusted 1.7%
Happy 1.3%

AWS Rekognition

Age 14-22
Gender Male, 98.6%
Calm 58.9%
Fear 21.5%
Angry 7.3%
Surprised 6.6%
Sad 5.7%
Happy 1.5%
Confused 1.4%
Disgusted 1.3%

AWS Rekognition

Age 24-34
Gender Male, 97.7%
Fear 98%
Surprised 6.3%
Sad 2.2%
Calm 0.1%
Happy 0.1%
Angry 0.1%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 13-21
Gender Male, 99.7%
Angry 48.3%
Calm 46.7%
Surprised 6.8%
Fear 6.6%
Sad 2.7%
Happy 0.2%
Confused 0.2%
Disgusted 0.2%

AWS Rekognition

Age 13-21
Gender Male, 95.8%
Calm 85%
Surprised 11.8%
Fear 7.4%
Sad 2.5%
Angry 0.8%
Disgusted 0.6%
Confused 0.3%
Happy 0.3%

AWS Rekognition

Age 26-36
Gender Female, 99.4%
Calm 46.2%
Angry 31.8%
Happy 10.6%
Surprised 8.2%
Fear 7.5%
Sad 2.6%
Confused 1.4%
Disgusted 1.1%

AWS Rekognition

Age 2-8
Gender Male, 55.4%
Calm 33.6%
Confused 15.2%
Angry 14.8%
Sad 14.7%
Fear 11.8%
Surprised 7.4%
Happy 5.3%
Disgusted 3.2%

AWS Rekognition

Age 7-17
Gender Male, 99.3%
Calm 95.7%
Surprised 6.4%
Fear 6.2%
Sad 2.7%
Angry 0.6%
Happy 0.4%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 14-22
Gender Female, 50.6%
Calm 83.1%
Fear 7.9%
Surprised 6.6%
Angry 3.8%
Sad 3.6%
Disgusted 1.4%
Happy 1.4%
Confused 1.1%

AWS Rekognition

Age 22-30
Gender Female, 51.3%
Calm 81.5%
Fear 13.3%
Surprised 7.8%
Sad 2.2%
Disgusted 1.4%
Confused 0.3%
Angry 0.3%
Happy 0.2%

AWS Rekognition

Age 11-19
Gender Male, 99.6%
Angry 45.5%
Calm 26.1%
Sad 17.4%
Fear 8.9%
Surprised 6.9%
Disgusted 2.8%
Happy 1%
Confused 0.9%

AWS Rekognition

Age 13-21
Gender Male, 99.9%
Sad 99.7%
Calm 29.3%
Surprised 6.4%
Fear 6%
Confused 1.4%
Happy 0.3%
Angry 0.2%
Disgusted 0.1%

Microsoft Cognitive Services

Age 22
Gender Male

Microsoft Cognitive Services

Age 25
Gender Male

Microsoft Cognitive Services

Age 11
Gender Female

Feature analysis

Amazon

Person 98.3%
Adult 93.9%
Male 93.9%
Man 93.9%
Glasses 76.6%