Human Generated Data

Title

Preparation for "Pachamanka" at Pampa de la Quinua
Date

c. 1924-76, printed 2005
People

Artist: Baldomero Alejos, Peruvian 1902-1976
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the David Rockefeller Center for Latin American Studies, Harvard University, Estrellita Bograd Brodsky Fund for Latin American Art and Culture and Gustavo E. Brillembourg Memorial Fund, 2012.120

Human Generated Data

Title

Preparation for "Pachamanka" at Pampa de la Quinua

People

Artist: Baldomero Alejos, Peruvian 1902-1976

Date

c. 1924-76, printed 2005

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the David Rockefeller Center for Latin American Studies, Harvard University, Estrellita Bograd Brodsky Fund for Latin American Art and Culture and Gustavo E. Brillembourg Memorial Fund, 2012.120

Machine Generated Data

Tags

Amazon
created on 2019-05-28

Human 99.2
Person 99.2
Person 99.2
Person 99
Person 98.8
Person 98.8
Person 98.7
Person 98.6
Person 98.5
Person 98.3
Person 98.3
Person 97.7
Person 97.1
Person 93.9
Person 93.7
People 91.5
Person 88.1
Person 85.1
Military 82.3
Military Uniform 82.3
Person 81.3
Soldier 71
Armored 68.2
Army 68.2
Crowd 62.1
Clothing 59.7
Apparel 59.7
Troop 58.8
Face 57.5
Coal 56.7
Funeral 56.2

Clarifai
created on 2019-05-28

people 100
group 99.6
adult 99.5
many 99.3
group together 98.9
man 97.5
military 97.5
war 96.9
woman 95
administration 93.3
child 93
leader 92.6
wear 91.6
several 90.9
soldier 90.8
outfit 87.2
skirmish 86
uniform 81.8
military uniform 81.6
boy 80

Imagga
created on 2019-05-28

engineer 54.7
military uniform 32.4
uniform 31.5
man 22.8
person 20
clothing 19.5
travel 19
mountain 17.8
sky 17.2
male 17
people 16.2
outdoor 16.1
summer 14.8
boy 14.8
rock 14.8
landscape 14.1
soldier 13.7
military 13.5
hiking 13.5
consumer goods 13
covering 12.9
outdoors 12.7
tourism 12.4
stone 11.9
army 11.7
vacation 11.5
adventure 11.4
walking 11.4
sea 10.9
active 10.8
backpack 10.7
hike 10.7
group 10.5
old 10.5
day 10.2
private 9.9
hiker 9.8
family 9.8
war 9.7
men 9.4
lifestyle 9.4
natural 9.4
water 9.3
child 9.3
mother 9.3
rifle 9.2
ocean 9.1
history 8.9
life 8.8
trekking 8.8
weapon 8.7
architecture 8.6
outside 8.6
adult 8.5
beach 8.4
sport 8.4
freedom 8.2
sunset 8.1
climbing 7.8
parent 7.7
statue 7.7
winter 7.7
two 7.6
walk 7.6
tourist 7.6
hill 7.5
park 7.4
sand 7.3
danger 7.3
gun 7.2
landmark 7.2
black 7.2
grass 7.1
love 7.1

Google
created on 2019-05-28

Photograph 96.6
People 94.7
Stock photography 76.5
History 62.6
Photography 62.4
Team 52.3

Microsoft
created on 2019-05-28

person 99.8
outdoor 99.7
sky 99.6
clothing 98
man 94.5
group 90.3
posing 86.9
standing 82.7
white 76.1
old 69.1
mountain 60.6
people 55.9
crowd 3.6

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 20-38
Gender Male, 96.6%
Happy 4.4%
Surprised 2.7%
Sad 5.9%
Angry 21.8%
Disgusted 5.5%
Confused 11.9%
Calm 47.8%

AWS Rekognition

Age 20-38
Gender Female, 84.4%
Disgusted 2.6%
Surprised 2.1%
Sad 35.5%
Happy 6.6%
Calm 50.2%
Confused 1%
Angry 1.9%

AWS Rekognition

Age 26-43
Gender Female, 70.7%
Disgusted 41.5%
Surprised 2.7%
Angry 5.1%
Sad 37.6%
Happy 2.4%
Confused 2.7%
Calm 8.1%

AWS Rekognition

Age 35-52
Gender Male, 53.2%
Disgusted 49.5%
Happy 45.1%
Confused 45.1%
Sad 45.1%
Calm 49.8%
Angry 45.3%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 85.7%
Happy 4.8%
Surprised 2.1%
Sad 3.6%
Confused 1.2%
Angry 16.6%
Calm 66.8%
Disgusted 4.8%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 45%
Happy 45%
Disgusted 45.1%
Surprised 45.1%
Calm 54.7%
Angry 45%
Confused 45%

AWS Rekognition

Age 48-68
Gender Male, 54.6%
Calm 45.1%
Disgusted 45.2%
Happy 45.5%
Sad 45.1%
Surprised 45.3%
Confused 45.3%
Angry 53.4%

AWS Rekognition

Age 26-43
Gender Male, 54.2%
Disgusted 48.3%
Happy 45.5%
Sad 47.6%
Calm 46.3%
Angry 46.5%
Surprised 45.3%
Confused 45.6%

AWS Rekognition

Age 26-43
Gender Male, 91.7%
Surprised 0.5%
Disgusted 77.3%
Angry 6.3%
Sad 1.3%
Confused 0.8%
Calm 13.1%
Happy 0.7%

AWS Rekognition

Age 38-59
Gender Male, 54.7%
Sad 47.9%
Happy 45.3%
Angry 45.3%
Confused 45.4%
Surprised 45.2%
Disgusted 45.3%
Calm 50.5%

AWS Rekognition

Age 26-44
Gender Male, 52.9%
Angry 46.4%
Disgusted 48.2%
Surprised 45.4%
Confused 45.6%
Happy 45.4%
Sad 46.3%
Calm 47.7%

AWS Rekognition

Age 26-43
Gender Male, 85.6%
Surprised 1.7%
Happy 0.9%
Calm 38%
Confused 2.2%
Angry 5.7%
Disgusted 41.6%
Sad 9.9%

AWS Rekognition

Age 23-38
Gender Male, 54%
Angry 46%
Calm 48.7%
Surprised 45.2%
Sad 47.3%
Confused 45.3%
Happy 45.2%
Disgusted 47.3%

AWS Rekognition

Age 35-52
Gender Male, 52.4%
Confused 45.2%
Happy 45.1%
Surprised 45.3%
Calm 47.2%
Sad 46.3%
Angry 50.5%
Disgusted 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Disgusted 45.1%
Angry 45.8%
Surprised 45.5%
Happy 45.2%
Calm 50.9%
Confused 46.1%
Sad 46.5%

AWS Rekognition

Age 48-68
Gender Male, 54.6%
Sad 51.1%
Happy 45.1%
Surprised 45.1%
Calm 46.9%
Angry 46.3%
Confused 45.3%
Disgusted 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Happy 45.2%
Confused 45.4%
Angry 45.6%
Surprised 45.3%
Sad 45.8%
Disgusted 49.1%
Calm 48.5%

AWS Rekognition

Age 19-36
Gender Male, 54.1%
Happy 45.2%
Surprised 45.2%
Sad 47.9%
Calm 48.2%
Angry 48%
Disgusted 45.3%
Confused 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.7%
Angry 46.3%
Sad 46.1%
Surprised 45.2%
Confused 45.4%
Happy 45.2%
Calm 51.6%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Male, 50%
Surprised 45.1%
Calm 53.8%
Happy 45.2%
Disgusted 45.1%
Confused 45.1%
Sad 45.5%
Angry 45.2%

AWS Rekognition

Age 48-68
Gender Male, 53.4%
Surprised 45.6%
Angry 45.4%
Calm 50.6%
Happy 45.8%
Sad 45.3%
Disgusted 47%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Calm 53.3%
Happy 45.2%
Surprised 45.1%
Disgusted 45.6%
Sad 45.3%
Angry 45.3%
Confused 45.2%

AWS Rekognition

Age 29-45
Gender Male, 50.3%
Happy 49.5%
Angry 49.6%
Confused 49.6%
Calm 49.7%
Sad 49.8%
Surprised 49.6%
Disgusted 49.8%

AWS Rekognition

Age 26-43
Gender Male, 51%
Disgusted 46%
Angry 48.5%
Surprised 45.6%
Happy 45.3%
Calm 47.9%
Confused 45.5%
Sad 46.2%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.6%
Disgusted 49.8%
Calm 49.9%

AWS Rekognition

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

AWS Rekognition

Age 45-63
Gender Female, 50.7%
Disgusted 45.2%
Happy 45.2%
Confused 45.1%
Sad 53.6%
Calm 45.6%
Angry 45.3%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Angry 49.6%
Surprised 49.6%
Confused 49.7%
Calm 49.5%
Happy 49.5%
Disgusted 49.9%
Sad 49.8%

AWS Rekognition

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

AWS Rekognition

Age 45-63
Gender Male, 53.4%
Calm 46.2%
Sad 46%
Confused 46.1%
Happy 45.2%
Disgusted 45.6%
Surprised 45.4%
Angry 50.5%

AWS Rekognition

Age 35-52
Gender Male, 52.7%
Angry 45.1%
Calm 45%
Sad 54.7%
Disgusted 45%
Surprised 45%
Happy 45%
Confused 45.1%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.3%
Angry 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Sad 49.6%
Angry 49.7%
Disgusted 50%
Calm 49.5%
Confused 49.5%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.7%
Happy 49.5%
Calm 50.1%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Sad 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Disgusted 49.7%
Happy 49.5%
Angry 49.7%
Calm 49.6%
Surprised 49.5%
Sad 49.9%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.6%
Angry 49.6%
Sad 50.2%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Happy 49.6%
Disgusted 50%
Surprised 49.5%
Calm 49.5%
Angry 49.6%
Confused 49.5%
Sad 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Disgusted 50.1%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Sad 49.6%
Angry 49.7%

AWS Rekognition

Age 4-9
Gender Female, 53.5%
Sad 45.8%
Disgusted 51.1%
Angry 45.7%
Happy 45.3%
Surprised 45.3%
Confused 45.4%
Calm 46.4%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.6%
Happy 49.8%
Surprised 49.6%
Calm 49.6%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Confused 49.5%
Angry 49.8%
Disgusted 50%
Sad 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Calm 50.1%
Disgusted 49.5%
Surprised 49.5%
Angry 49.6%
Sad 49.7%
Happy 49.6%
Confused 49.5%

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 24
Gender Female

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 27
Gender Male

Microsoft Cognitive Services

Age 39
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very 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 Possible
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 likely
Blurred Very unlikely

Google Vision

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

Feature analysis

Amazon

Person 99.2%

Categories

Imagga

beaches seaside 66.4%
nature landscape 22.6%
streetview architecture 9%